AI in Cyberattacks: A Closer Look at Emerging Threats for 2025

Posted on June 5, 2025 by Brent Huston

The complex interplay between technological advancement and cyber threats is reaching unprecedented heights. As artificial intelligence (AI) evolves, it presents both transformative opportunities and significant perils in the realm of cyberattacks. Cybercriminals are leveraging AI to devise more sophisticated and cunning threats, shifting the paradigm of how these dangers are understood and countered.

RedHacker3

AI’s influence on cyberattacks is multifaceted and growing in complexity. AI-powered tools are now utilized to develop advanced malware and ransomware, enhance phishing tactics, and even create convincing deepfakes. These advancements foreshadow a challenging landscape by 2025, as cybercriminals sharpen their techniques to exploit vulnerabilities in ubiquitous technologies—from cloud computing to 5G networks.

In response to the evolving threat landscape, our methods of defense must adapt accordingly. The integration of AI into cybersecurity strategies offers powerful countermeasures, providing innovative ways to detect, deter, and respond decisively to these high-tech threats. This article explores the emerging tactics employed by cybercriminals, the countermeasures under development, and the future prospects of AI in cybersecurity.

The Role of AI in Cyberattacks

As we approach 2025, the landscape of cyber threats is increasingly shaped by advancements in artificial intelligence. AI is revolutionizing the way cyberattacks are conducted, allowing for a level of sophistication and adaptability that traditional methods struggle to compete with. Unlike conventional cyber threats, which often follow predictable patterns, AI-driven attacks are dynamic and capable of learning from their environment to evade detection. These sophisticated threats are not only more difficult to identify but also require real-time responses that traditional security measures are ill-equipped to provide. As AI continues to evolve, its role in cyberattacks becomes more pronounced, highlighting the urgent need for integrating AI-driven defenses to proactively combat these threats.

AI as a Tool for Cybercriminals

AI has significantly lowered the barrier to entry for individuals looking to engage in cybercrime, democratizing access to sophisticated tools. Even those with minimal technical expertise can now launch advanced phishing campaigns or develop malicious code, thanks to AI’s ability to automate complex processes. This technology also allows cybercriminals to launch adaptive attacks that grow more effective over time, challenging traditional cybersecurity defenses. AI plays a critical role in the emergence of Cybercrime-as-a-Service, where even unskilled hackers can rent AI-enhanced tools to execute complex attacks. Additionally, machine learning models enable faster and more efficient password cracking, giving cybercriminals an edge in breaking into secure systems.

AI-Driven Malware and Ransomware

AI-driven malware is reshaping the threat landscape by making attacks more efficient and harder to counter. Ransomware, enhanced by AI, automates the process of identifying data and optimizing encryption, which poses significant challenges for mitigation efforts. Malicious GPTs, or modified AI models, can generate complex malware and create supportive materials like fake emails, enhancing the efficacy of cyberattacks. The rise of AI-driven Cybercrime-as-a-Service in 2025 allows less experienced hackers to wield powerful tools, such as ransomware-as-a-service, to launch effective attacks. Self-learning malware further complicates security efforts, adapting seamlessly to environments and altering its behavior to bypass traditional defenses, while AI-driven malware utilizes automated DDoS campaigns and sophisticated credential-theft techniques to maximize impact.

Enhancing Phishing with AI

Phishing attacks, a longstanding cyber threat, have become more sophisticated with the integration of AI. This technology enables the creation of highly personalized and convincing phishing emails with minimal manual effort, elevating the threat to new heights. AI’s ability to process large datasets allows it to craft messages that are tailored to individual targets, increasing the likelihood of successful infiltration. As these attacks become more advanced, traditional email filters and user detection methods face significant challenges. Preparing for these AI-enhanced threats necessitates a shift towards more proactive and intelligent security systems that can detect and neutralize adaptive phishing attacks in real-time.

The Threat of Deepfakes

Deepfakes represent a growing challenge in the cybersecurity domain, harnessing AI to create realistic impersonations that can deceive users and systems alike. As AI technology advances, these synthetic audio and video productions become increasingly difficult to distinguish from authentic content. Cybercriminals exploit deepfakes for purposes such as misinformation, identity theft, and reputational damage, thereby eroding trust in digital platforms. Organizations must use AI-based detection tools and educate employees on identifying these sophisticated threats to maintain their digital integrity. Furthermore, the rise of AI-powered impersonation techniques complicates identity verification processes, necessitating the development of new strategies to validate authenticity in online interactions.

Emerging Tactics in AI-Driven Attacks

In 2025, AI-driven cyberattacks are poised to escalate significantly in both scale and sophistication, presenting formidable challenges for detection and mitigation. Malicious actors are capitalizing on advanced algorithms to launch attacks that are not only more efficient but also difficult to counteract. Their adaptability enables these attacks to dynamically adjust to the defenses deployed by their targets, thus enhancing their effectiveness. AI systems can analyze vast quantities of data in real-time, allowing them to identify potential threats before they fully materialize. Consequently, the cybersecurity industry is intensifying efforts to integrate AI into security measures to predict and counter these threats proactively, ensuring that security teams are equipped to manage the rapidly evolving threat landscape.

Understanding AI Phishing

AI phishing attacks have transformed the cyber threat landscape by leveraging generative AI to create communications that appear exceedingly personalized and realistic. These communications can take the form of emails, SMS messages, phone calls, or social media interactions, often mimicking the style and tone of trusted sources to deceive recipients. Machine learning empowers these attacks by allowing them to evade traditional security measures, making them more challenging to detect. AI-driven phishing schemes can automate the entire process, providing outcomes similar to human-crafted attacks but at a significantly reduced cost. As a result, a notable increase in sophisticated phishing incidents has been observed, impacting numerous organizations globally in recent years.

Transition to Vishing (Voice Phishing)

Emerging as a novel threat, vishing or voice phishing employs AI to enhance the traditional scams, enabling wider and more efficient campaigns with minimal manual input. This method intensifies the effectiveness and sophistication of attacks, as AI-driven vishing can dynamically adjust to the defenses of targets. Unlike traditional, static cyber attacks, AI-enhanced vishing scams modify their tactics on-the-fly by monitoring defenses in real-time, making them harder to identify and mitigate. As this threat continues to evolve, businesses must employ proactive AI-driven defenses that can anticipate and neutralize potential vishing threats before they inflict damage. The incorporation of AI-driven security systems becomes vital in predicting and countering these evolving cyber threats.

Exploiting Zero-Day Vulnerabilities

AI-enabled tools are revolutionizing vulnerability detection by quickly scanning extensive codebases to identify zero-day vulnerabilities, which pose significant risks due to their unpatched nature. These vulnerabilities provide an open door for exploit that threat actors can use, often generating automated exploits to take advantage of these weaknesses rapidly. Concerns are growing that the progression of AI technologies will allow malicious actors to discover zero-day vulnerabilities with the same proficiency as cybersecurity professionals. This development underscores the importance of programs like Microsoft’s Zero Day Quest bug bounty, aiming to resolve high-impact vulnerabilities in cloud and AI environments. The rapid escalation of AI-driven zero-day phishing attacks means that defenders have a narrower window to react, necessitating robust response systems to address cybersecurity challenges effectively.

Targeting Cloud Environments

Cloud environments are becoming increasingly susceptible to AI-driven cyberattacks, which employ machine learning to circumvent standard protections and breach cloud systems. The sophistication of AI-powered impersonation necessitates enhanced identity verification to safeguard digital identities. Organizations must therefore integrate AI-driven defenses capable of identifying and neutralizing malicious activities in real-time. AI-assisted detection and threat hunting are instrumental in recognizing AI-generated threats targeting these environments, such as synthetic phishing and deepfake threats. With cloud infrastructures being integral to modern operations, adopting proactive AI-aware cybersecurity frameworks becomes essential to anticipate and thwart potential AI-driven intrusions before they cause irreparable harm.

Threats in 5G Networks

The expansion of IoT devices within 5G networks significantly enlarges the attack surface, presenting numerous unsecured entry points for cyber threats. Unauthorized AI usage could exploit these new attack vectors, compromising vital data security. In this context, AI-powered systems will play a crucial role in 2025 by utilizing predictive analytics to identify and preempt potential threats in real-time within 5G infrastructures. Agentic AI technologies offer tremendous potential for improving threat detection and neutralization, securing 5G networks against increasingly sophisticated cyber threats. As the threat landscape continues to evolve, targeting these networks could result in a global cost burden potentially reaching $13.82 trillion by 2032, necessitating vigilant and innovative cybersecurity measures.

Countermeasuring AI Threats with AI

As the cyber threat landscape evolves, organizations need a robust defense mechanism to safeguard against increasingly sophisticated AI-driven threats. With malicious actors utilizing artificial intelligence to launch more complex and targeted cyberattacks, traditional security measures are becoming less effective. To counter these AI-driven threats, organizations must leverage AI-enabled tools to automate security-related tasks, including monitoring, analysis, and patching. The use of such advanced technologies is paramount in identifying and remediating AI-generated threats. The weaponization of AI models, evident in dark web creations like FraudGPT and WormGPT, underscores the necessity for AI-aware cybersecurity frameworks. These frameworks, combined with AI-native solutions, are crucial for dissecting vast datasets and enhancing threat detection capabilities. By adopting AI-assisted detection and threat-hunting tools, businesses can better handle synthesized phishing content, deepfakes, and other AI-generated risks. The integration of AI-powered identity verification tools also plays a vital role in maintaining trust in digital identities amidst AI-driven impersonation threats.

AI in Cyber Defense

AI is revolutionizing the cybersecurity industry by enabling real-time threat detection and automated responses to evolving threats. By analyzing large volumes of data, AI-powered systems can identify anomalies and potential threats, providing a significant advantage over traditional methods. Malicious actors may exploit vulnerabilities in existing threat detection frameworks by using AI agents, but the same AI technologies can also strengthen defense systems. Agentic AI enhances cybersecurity operations by automating threat detection and response processes while retaining necessary human oversight. Moreover, implementing advanced identity verification that includes multi-layered checks is crucial to counter AI-powered impersonation, ensuring the authenticity of digital communications.

Biometric Encryption Innovations

Biometric encryption is emerging as a formidable asset in enhancing user authentication, particularly as cyber threats become more sophisticated. This technology leverages unique physical characteristics—such as fingerprints, facial recognition, and iris scans—to provide an alternative to traditional password-based authentication. By reducing reliance on static passwords, biometric encryption not only strengthens user authentication protocols but also mitigates the risk of identity theft and impersonation. As a result, businesses are increasingly integrating biometric encryption into their cybersecurity frameworks to safeguard against the dynamic landscape of cyber threats, minimizing potential vulnerabilities and ensuring more secure interactions.

Advances in Machine Learning for Cybersecurity

Machine learning, a subset of AI, is instrumental in transforming cybersecurity strategies, enabling rapid threat detection and predictive analytics. Advanced machine learning algorithms simulate attack scenarios to improve incident response strategies, providing cybersecurity professionals with enhanced tools to face AI-driven threats. While AI holds the potential to exploit vulnerabilities in threat detection models, it also enhances the efficacy of security teams by automating operations and reducing the attack surface. Investments in AI-enhanced cybersecurity solutions reflect a strong demand for robust, machine-learning-driven techniques, empowering organizations to detect threats efficiently and respond effectively in real time.

Identity and Access Management (IAM) Improvements

The integration of AI-powered security tools into Identity and Access Management (IAM) systems significantly bolsters authentication risk visibility and threat identification. These systems, critical in a digitized security landscape, enhance the foundation of cyber resilience by tackling authentication and access control issues. Modern IAM approaches include multilayered identity checks to combat AI-driven impersonations across text, voice, and video—recognizing traditional digital identity trust as increasingly unreliable. Role-based access controls and dynamic policy enforcement are pivotal in ensuring users only have essential access, preserving the integrity and security of sensitive systems. As AI-driven threats continue to advance, embracing AI capabilities within IAM systems remains vital to maintaining cybersecurity.

Implementing Zero-Trust Architectures

Zero-Trust Architecture represents a paradigm shift in cybersecurity by emphasizing least-privilege access and continuous verification. This model operates on the principle of never trusting, always verifying, where users and devices’ identities and integrity are continually assessed before access is granted. Such a dynamic approach ensures real-time security policy adaptation based on emerging threats and user behaviors. Transitioning to Zero-Trust minimizes the impact of breaches by compartmentalizing network resources, ensuring that access is granted only as necessary. This proactive strategy stresses the importance of continuous monitoring and data-driven analytics, effectively moving the focus from reactive measures to a more preemptive security posture, in anticipation of future AI-driven threats.

Preparing for AI-Enabled Cyber Threats

As we near 2025, the landscape of cyber threats is becoming increasingly complex, driven by advances in artificial intelligence. AI-enabled threats have the sophisticated ability to identify system vulnerabilities, deploy widespread campaigns, and establish undetected backdoors within infrastructures, posing a significant risk to data integrity and security. Cybersecurity professionals are finding these AI-driven threats challenging, as threat actors can exploit weaknesses in AI models, leading to novel forms of cybercrime. The critical need for real-time AI-driven defenses becomes apparent as businesses strive to recognize and neutralize malicious activities as they occur. Organizations must prioritize preparing for AI-powered cyberattacks to maintain resilience against these evolving threats. Traditional security measures are becoming outdated in the face of AI-powered cyberattacks, thus compelling security teams to adopt advanced technologies that focus on early threat detection and response.

Developing AI Resilience Strategies

The development of AI resilience strategies is essential as organizations prepare to counter AI-driven cyber threats. Robust data management practices, including data validation and sanitization, play a crucial role in maintaining data integrity and security. By leveraging AI’s power to monitor networks continuously, security teams gain enhanced visibility, allowing for the early detection of potential cyber threats. Preparing AI models by exposing them to various attack scenarios during training significantly increases their resilience against real-world adversarial threats. In this evolving threat landscape, integrating AI into cybersecurity strategies provides a notable advantage, enabling preemptive counteraction against emerging risks. AI-enabled agentic cybersecurity holds the promise of automating threat detection and response, thus reducing response time and alleviating the workload on security analysts.

Importance of Cross-Sector Collaborations

Cross-sector collaborations have become vital in adapting to the rapidly evolving AI-driven cyber threat landscape. Public-private partnerships and regional interventions provide a foundation for effective intelligence sharing and identifying new threats. These collaborations between tech companies, cybersecurity vendors, universities, and government agencies enhance cyber resilience and develop best practices. The collective efforts extend beyond individual organizational capabilities, leveraging a diverse expertise pool to tackle systemic cybersecurity challenges strategically. By fostering strong public-private cooperation, sectors can combat cybercrime through unified action, demonstrating the importance of cybersecurity as a strategic priority. Initiatives like the Centres’ collaboration with over 50 partners exemplify the power of alliances in combating AI-driven threats and fortifying cyber defenses.

Upgrading Security Infrastructures

The evolution of AI-driven threats necessitates a comprehensive upgrade of security infrastructures. Organizations must align their IT, security, procurement, and compliance teams to ensure effective modernization of their security measures. Strengthening identity security is paramount and involves deploying centralized Identity and Access Management (IAM), adaptive multi-factor authentication (MFA), and real-time behavioral monitoring. Implementing AI-powered solutions is essential for automating critical security tasks, such as monitoring, analysis, patching, prevention, and remediation. AI-native cybersecurity systems excel in leveraging vast datasets to identify patterns and automate responses, enhancing an organization’s defensive capabilities. As communication modes become more complex, multi-layered identity checks must account for AI-powered impersonation to ensure that verification processes remain secure and robust.

The Role of Continuous Monitoring and Response

Continuous monitoring and response are core components of modern cybersecurity strategies, particularly in the face of sophisticated AI-powered cyberattacks. AI-driven security systems significantly enhance this process by analyzing behavioral patterns to detect anomalies in real time. Automated incident response systems, using AI, can contain breaches much quicker than traditional human-led responses, allowing for more efficient mitigation of threats. The AI algorithms in these systems are designed to learn and evolve, adapting their strategies to effectively bypass static security defenses. As the complexity of attack vectors increases, the need for continuous monitoring becomes critical in adapting quickly to new threats. Advanced AI tools automate vulnerability scanning and exploitation, identifying zero-day and n-day vulnerabilities rapidly, thereby bolstering an organization’s ability to preempt and respond to cyber risks proactively.

The Future of AI in Cybersecurity

Artificial Intelligence (AI) is revolutionizing the field of cybersecurity, playing a pivotal role in enabling real-time threat detection, providing predictive analytics, and automating responses to the ever-evolving landscape of cyber threats. By 2025, the sophistication and scale of AI-driven cyberattacks are anticipated to significantly escalate, pressing organizations to deploy robust, AI-powered defense systems. The global market for AI in cybersecurity is on a path of remarkable growth, expanding from $15 billion in 2021 to a projected $135 billion by 2030. AI technologies are transforming the cybersecurity industry by allowing businesses to pinpoint vulnerabilities far more efficiently than traditional security measures. In this battleground of cybersecurity, AI is not only a tool for defenders but also a weapon for attackers, as both sides leverage AI to enhance their strategies and respond to emerging threats.

Predictions for 2025 and Beyond

The integration of AI into cybersecurity is predicted to greatly enhance threat detection and mitigation abilities by processing extensive data in real-time, enabling swift responses to potential threats. The financial burden of global cybercrime is expected to rise drastically, from an estimated $8.15 trillion in 2023 to $11.45 trillion by 2026, potentially reaching $13.82 trillion by 2027. The increasing impact of AI-powered cyber threats is acknowledged by 78% of Chief Information Security Officers, who report its significant influence on their organizations. To counteract these threats, it’s critical for organizations to cultivate a security-first culture by 2025, incorporating AI-specific cybersecurity training and incident response drills. The accelerating sophistication of AI-driven cyberattacks is reshaping the cybersecurity landscape, creating an imperative for proactive, AI-driven defense strategies. This evolution demands that cybersecurity professionals remain vigilant and adaptive to stay ahead of malicious actors who are constantly innovating their attack methods.

Ethical Implications and Challenges

As AI becomes broadly available, it presents both exciting opportunities and significant risks within the cybersecurity domain. The potential for AI-driven methods to be manipulated by threat actors introduces new vulnerabilities that must be meticulously managed. Balancing the implementation of AI-driven security measures with the ethical necessity for human oversight is crucial in preventing the unauthorized exploitation of AI capabilities. As these technologies advance, ethical challenges emerge, particularly in the context of detecting zero-day vulnerabilities, which can be used exploitatively by both defenders and attackers. Effective mitigation of AI-driven cyberattacks requires an equilibrium between technological innovation and ethical policy development, ensuring that AI is not misused in cybersecurity operations. The expanding application of AI in this field underscores the ethical obligation to pursue continuous monitoring and secure system development, acknowledging that AI’s powerful capabilities can serve both defensive purposes and malicious ends.

More Info and Help from MicroSolved

For organizations looking to fortify their defenses against AI-driven cyber threats, MicroSolved offers expert assistance in AI threat modeling and integrating AI into information security and risk management processes. With the growing complexity of cyber threats, especially those leveraging artificial intelligence, traditional security measures often prove inadequate.

MicroSolved’s team can help your business stay ahead of the threat landscape by providing comprehensive solutions tailored to your needs. Whether you’re dealing with ransomware attacks, phishing emails, or AI-driven attacks on critical infrastructures, they are equipped to handle the modern challenges faced by security teams.

Key Services Offered by MicroSolved:

AI Threat Modeling
Integration of AI in Cybersecurity Practices
Comprehensive Risk Management

For expert guidance or to initiate a consultation, contact MicroSolved at:

Email: info@microsolved.com
Phone: +1.614.351.1237

By partnering with MicroSolved, you can enhance your organization’s ability to detect and respond to AI-powered cyberattacks in real time, ultimately protecting your digital assets and ensuring cybersecurity resilience in 2025 and beyond.

* AI tools were used as a research assistant for this content, but human moderation and writing are also included. The included images are AI-generated.

Preparing Your Infosec Program for Quantum Computing

Posted on June 25, 2024 by Brent Huston

Imagine a world where encryption, the bedrock of our current cybersecurity measures, can be unraveled in mere moments. This reality is not just conceivable; it’s on the horizon with the advent of quantum computing. A groundbreaking leap from traditional binary computing, quantum computing has the potential to redefine what we deem secure.

Delving into the peculiar realm of quantum mechanics unleashes power that eclipses the might of our current supercomputers. To truly grasp how this will reshape information security, one must understand qubits and the unfathomable processing capabilities they present. The security protocols we depend on today are poised for a seismic shift as quantum computers become more prevalent.

In this article, we embark on a journey through the landscape of quantum computing and its impending collision with the world of cybersecurity. From exploring quantum-resistant cryptography to pondering the role of agencies in securing data in a post-quantum Era, we will prepare your infosec program to stand firm in the face of this computational tidal wave.

Understanding the Basics of Quantum Computing

Quantum computing signifies a revolutionary leap from classical computers, fundamentally altering the landscape of data processing. The core of this transformation lies in the utilization of quantum bits or qubits. Unlike standard bits, which are confined to a binary state of either 0 or 1, qubits harness the peculiar properties of quantum mechanics. These particles can exist in a state of superposition, being both 0 and 1 simultaneously, which greatly expands their computational capacity.

To maintain their complex states, qubits require an environment that isolates them from any external interference. Achieving this usually involves extreme measures such as cooling systems that approach absolute zero temperatures. This delicate balance is essential to prevent the decoherence and degradation of the qubit’s information.

Another hallmark of quantum computing is entanglement, a phenomenon where qubits become so deeply linked that the state of one will instantaneously influence its entangled partner, regardless of the distance separating them. This interconnection paves the way for unprecedented speed and efficiency in computing processes.

Given the immense computing power quantum machines are expected to yield, they pose a critical concern for information security. Current cryptographic protocols, which rely on the computational difficulty of certain mathematical problems, might become easily solvable in a fraction of the time currently required. Therefore, in anticipation of this quantum threat, governments and institutions like the National Institute of Standards and Technology (NIST) are proactively working on developing and standardizing quantum-resistant cryptographic mechanisms. These intensified efforts aim to buttress our cybersecurity infrastructure against the potential onslaught of quantum attacks that could exploit the vulnerabilities of classical cryptographic systems.

Explaining Quantum Computers

Quantum Computers

Feature	Description
Qubits	Utilize qubits instead of bits, allowing for simultaneous representation of 0 and 1 through superposition.
Entanglement	A property where qubits are interconnected so that the state of one can instantaneously impact another.
Encryption Threat	Pose danger to current encryption methods due to their ability to solve complex cryptographic problems rapidly.

Quantum computers diverge entirely from the operational framework of classical computers. While traditional machines process data linearly, quantum computers leverage the dual state capability of qubits through superposition, allowing them to perform multiple calculations concurrently.

The intrinsic feature of entanglement in quantum computers enables a linked state among qubits, enabling immediate and correlated changes across them. This feature dramatically accelerates complex problem-solving and data analysis processes.

The exponential speed and power of quantum machines offer promising advancements but simultaneously challenge the integrity of cryptographic algorithms, including those protecting internet infrastructure. As quantum computers excel at calculating large numbers efficiently, they could potentially decipher encryption swiftly, rendering many of the security protocols we currently rely on ineffective. This quantum leap requires a reevaluation and reinforcement of encryption to secure data against the potential intrusion by these powerful computing entities.

Discussing Quantum Bits (Qubits)

Quantum bits – or qubits – are the quintessential building blocks of quantum computers. By being able to embody multiple states at once through superposition, they bypass the limitations of classical bits. This property permits an exponential increase in computing power, as each qubit added to the system essentially doubles its capacity.

Entanglement compounds this capability, fostering a network of qubits that synchronize changes over any distance. This drastically enhances efficiency, enabling rapid complex calculations and high-level problem-solving far beyond the scope of traditional computing.

The manipulation of qubits through quantum algorithms, exploiting both superposition and entanglement, allows quantum computers to perform functions in mere moments that would take classical computers years. However, it’s key to note that this power to swiftly navigate through vast computational possibilities not only offers solutions but also necessitates the evolution of cybersecurity measures.

Exploring Quantum Mechanics and Its Relation to Computing

Quantum Mechanics Principles in Computing

Superposition: Facilitates qubits to be both 0 and 1 concurrently, enabling parallel calculation capabilities.
Entanglement: Connects qubits, allowing information sharing instantaneously regardless of distance.
Acceleration: Propels computing processes at an unprecedented pace, opening new possibilities for industries.

Quantum mechanics and computing are intertwined, with the former offering an analytical lens for the latter. By viewing computing through the principles of quantum physics, a vast new computational paradigm emerges. The spoils of quantum mechanics, such as superposition and entanglement, permit the functionality of quantum bits, or qubits, fundamentally differentiating quantum computers from their classical counterparts.

These quantum properties allow for parallel calculations to be conducted simultaneously, something utterly impossible for classical computing architecture. With the formidable capability to expedite solutions and answer monumental questions across varied industries, quantum computing is expected to drive significant progress in the next decade.

However, the same properties that endow quantum computers with their power also render current encryption models, like RSA, profoundly vulnerable. Quantum computers can decipher complex numerical problems in a fraction of the time expected by traditional systems, therefore outpacing and potentially compromising existing cybersecurity measures. Consequently, acknowledging and preparing for quantum impacts on encryption is paramount, ensuring a secure transition into the impending post-quantum world.

The Implications of Quantum Computing on Cybersecurity

Quantum computing heralds a double-edged sword for the digital world; on one side, it promises unprecedented computational breakthroughs, and on the other, it poses a seismic threat to cybersecurity. The very nature of quantum computing, with its ability to solve complex problems that are intractable for classical computers, could undermine encryption methods that protect everything from daily financial transactions to state secrets. Data meant to be safeguarded for an extended period is at risk, as current encryption could eventually be rendered obsolete by quantum techniques.

Recognizing this, efforts to create quantum-resistant encryption are gaining momentum. NIST, among other institutions, is actively seeking post-quantum solutions, having sifted through 69 potential cryptographic methods. The road ahead is a paradigm shift in cybersecurity strategy: to adopt a multi-layered, quantum-safe defense and build an infrastructure resilient to the quantum age. Such a transition demands identifying and protecting critical data assets with diversified cryptographic solutions and contemplating novel, quantum-robust algorithms for enduring security.

As quantum technology advances, organizations must remain vigilant, continuously adapting to new cybersecurity regulations and principles like zero-trust architecture to fortify themselves against future quantum exploits.

Identifying the Quantum Threat to Cryptographic Algorithms

The Cloud Security Alliance forecasts a worrisome horizon for cryptographic algorithms such as RSA, Diffie-Hellman, and Elliptic-Curve Cryptography, indicating their susceptibility to quantum attacks possibly by April 2030. Such a development exposes organizations to ‘harvest now, decrypt later’ scenarios, where adversaries collect encrypted information, waiting to unlock it with mature quantum capabilities.

Notably, over half of the participants in a Deloitte Poll acknowledged this risk, attesting to the widespread concern regarding quantum computing’s impact on cryptography. The crux of this threat is the superior ability of qubits, the core units of quantum computing, to tackle multifaceted problems rapidly. Hence, the urgency to innovate quantum security measures is fundamental, demanding a robust cybersecurity edifice that can withstand advanced future threats.

Assessing the Impact of Powerful Quantum Computers on Current Security Measures

Contemporary cybersecurity rests on encryption algorithms like RSA, which powerful quantum computers could nullify. Post-quantum cryptography (PQC) seeks to mitigate this threat, ensuring our safety protocols are compatible with a quantum future.

The U.S. National Institute of Standards and Technology (NIST) is at the Knowledge cutoff: forefront, assessing 69 methods for such cryptography. Moreover, the ‘harvest now, decrypt later’ dynamic looms as a direct consequence of powerful quantum computing, prompting the necessity for quantum-safe countermeasures, without which industries face considerable security risks.

Recognizing the Challenges of Key Distribution in a Post-Quantum World

With the prospect of quantum computing, the secure distribution of cryptographic keys becomes ever more crucial, yet challenging. The landscape beyond the coming decade needs to account for quantum threats; organizations must ensure continued data safety while raising awareness among leaders and stakeholders.

Strategies like crypto agility are crucial, providing the flexibility necessary to transition between algorithms in response to emerging vulnerabilities or quantum threats. Additionally, the integration of traditional and quantum-driven security methods or technologies like Quantum Key Distribution could bolster our cryptographic defenses in this new computational era.

Analyzing the Implications for Crypto Agility in the Face of Quantum Attacks

The ascent of quantum computing casts a foreboding shadow over established encryption methods such as RSA and ECC. Algorithms conceived for quantum machines, like Shor’s and Grover’s, are primed to factorize large numbers expeditiously, undermining the foundations of conventional cryptographic security.

Post-quantum cryptography is the beacon of hope, looking at alternatives like lattice-based cryptography founded on the intricacies of lattice mathematics for quantum-resistant encryption methods. With 50.2% of respondents in a Deloitte Poll voicing concern over ‘harvest now, decrypt later’ threats, the imperative for crypto agility has never been clearer. Making a preemptive pivot towards quantum-resistant solutions is both a strategic and necessary stance to counter the coming quantum onslaught.

Quantum Technologies and their Potential Impact on Infosec Programs

Quantum computing represents a transformative force across sectors, boasting the ability to accelerate problem-solving capabilities to levels unattainable by classical systems. Within the sphere of cybersecurity, this computing paradigm foreshadows profound repercussions. Existing security protocols could falter as advanced computational techniques emerge, rendering them inadequate against quantum-powered attacks.

To hedge against this prospective quantum revolution, organizations are hastily directing focus toward post-quantum cryptography (PQC). This advanced subset of cryptographic algorithms is designed to be quantum-resistant, ensuring the protection of sensitive data even against adversaries wielding quantum tools. In a proactive move, NIST has earmarked four quantum-resistant encryption methods, setting the stage for a fortified cybersecurity infrastructure in the impending era of quantum computing.

Another trailblazing quantum technology is Quantum Key Distribution (QKD). QKD exemplifies a formidable approach to escalated security, exploiting the quirks of quantum physics to enable impenetrable key distribution, safeguarding against even the most sophisticated eavesdropping endeavors. As such, the confluence of PQC and QKD marks a pivotal junction in the roadmap for future infosec programs that need to anticipate the universal challenges posed by quantum technologies.

Examining the Role of Quantum Computing in Artificial Intelligence and Machine Learning

The symbiosis of quantum computing and artificial intelligence (AI) promises an era where data is dissected with unparalleled precision. Quantum machine-learning could significantly enhance AI algorithms, sharpening the detection of evolving cyber threats. Thanks to the deftness of quantum computers in sifting through extensive datasets, quantum advantage could lead to more astute and efficient pattern recognition, empowering real-time threat detection, and proactive response systems.

Furthermore, the nascent realm of quantum computing stands to revolutionize network security through its prowess in dissecting complex networks, uncovering latent vulnerabilities, and buttressing cybersecurity frameworks against imminent threats. The precipitous growth of quantum-informed algorithms suggests a future where AI and machine learning not only accelerate but also achieve greater energy efficiency in warding off novel cyber risks.

One cannot ignore, however, the demands such developments place on human capital. Quantum computing necessitates a cadre of skilled professionals, ushering in an educational imperative to train and cultivate expertise in this avant-garde technology.

Exploring the Integration of Quantum Technologies into Traditional Computers

In the advent of a hybridized technology ecosystem, quantum computers are poised to take on the mantle of specialized co-processors, alongside their classical counterparts. Such arrangements would enable classical systems to offload computationally intense tasks, particularly those well-suited to quantum’s nuanced problem-solving capabilities. Yet, this marriage of digital methodologies is not without its pitfalls.

Integrating quantum and classical systems may inadvertently create conduits for established cybersecurity threats to infiltrate quantum realms. The anticipated arrival of standardized quantum algorithms within the next several years provides some assurance, although the perpetual evolution of quantum computing techniques may challenge such uniformity.

Taking center stage in the convergence of quantum and traditional computing is the Quantum Key Distribution (QKD), an encryption method that leverages quantum physics to deliver keys with guaranteed secrecy. Despite these innovative strides, vulnerabilities highlighted by quantum factorization methods, like Peter Shor’s notorious algorithm, forecast potential threats, especially to cornerstone encryption protocols such as RSA.

Evaluating the Processing Power of Quantum Computers and its Effect on Cybersecurity

Quantum computing’s extraordinary processing power is derived from quantum bits, or qubits, which operate in a rich tapestry of states beyond the binary confines of classical bits. This quantum capability enables the performance of calculations at a pace and complexity that is exponential compared to traditional computing power. The crux of the matter for cybersecurity is the implications this has on encryption, as quantum computers can potentially break encryptions that classical computers would never feasibly solve.

The burgeoning presence of quantum computing introduces a myriad of challenges, not least the financial and accessibility barriers for smaller organizations. As advancements in quantum computing gain momentum, the cybersecurity landscape will need to adapt to an ever-evolving set of challenges, requiring vigilant monitoring and nimble responses.

To keep apace with the dynamic growth of quantum computing, a collaborative trinity of industry, academia, and government is imperative. Together, these stakeholders are the keystone in the archway leading to new cryptographic defenses, ensuring the enduring confidentiality and integrity of private information amidst the quantum computing revolution.

Strategies for Adapting Infosec Programs to the Quantum Computing Era

As quantum computing continues to develop, its potential impact on cybersecurity grows exponentially. Infosec programs, therefore, must evolve with the emerging quantum threat. Here are key strategies for ensuring that security frameworks remain robust and agile in the face of quantum advancements:

Evaluating Post-Quantum Cryptography (PQC): Proactively assess and integrate NIST-approved PQC algorithms into existing security protocols to ensure data remains secure against quantum computers.
Employing Quantum Key Distribution (QKD): Consider the practicality and benefits of QKD for safeguarding critical communications against quantum spying techniques.
Practicing Quantum-Secure Governance: Develop and instill governance principles that specifically address the unique considerations of quantum technologies to establish trust and mitigate risks.
Prioritizing Data Protection: Identify and categorize the sensitivity of organizational data to strategize encryption overlays and safeguard valuable assets.
Implementing Crypto Agility: Embrace a comprehensive risk assessment approach that prioritizes the swift adoption of quantum-resistant mechanisms and allows for quick adaptation to new cryptographic standards.

Developing Quantum-Resistant Cryptographic Algorithms

In anticipation of quantum computing’s potential to disrupt current cryptographic models, the development of quantum-resistant algorithms is critical. Lattice-based, code-based, multivariate, hash-based, and isogeny-based cryptography exemplify such pioneering approaches. These algorithms aim to withstand the computational supremacy of quantum mechanics. However, this futuristic cryptography frontier presents unique challenges, including the steep curve in development, adoption, and the required coordination among global stakeholders to achieve homogeneity in protection measures.

Implementing Quantum-Safe Key Distribution Mechanisms

The secure exchange of encryption keys is fundamental to confidential communication. Quantum key distribution (QKD) emerges as a cutting-edge mechanism, utilizing quantum states to thwart eavesdropping attempts detectably. Integrating QKD entails specialized infrastructure, such as high-quality fiber optics, and embodies the principle of forward secrecy. By leveraging the peculiar characteristics of photons during transmission, QKD introduces an inherently secure method of key exchange, bolstering defenses against both current and potential future quantum interceptions.

Enhancing Post-Quantum Crypto Agility

Crypto agility is paramount for organizations navigating the transition to post-quantum cryptography (PQC). Forward-thinking entities are recognizing the necessity of adopting NIST’s identified PQC algorithms as part of their cyber-defense arsenal. With an estimated 5 to 10-year window for full implementation, the race is on to redesign infrastructure with quantum-resistant measures. Achieving this elastic state of post-quantum crypto agility will ensure that organizations can seamlessly evolve alongside emerging cryptographic standards, mitigating quantum-related threats.

Leveraging Quantum Technologies for Enhanced Security Measures

The integration of quantum technologies offers a vanguard in security measures. Utilizing quantum random number generators lays the foundation for constructing encryption keys grounded in the incontrovertibility of physical laws, delivering unprecedented guarantees. Innovations such as the Quantum Origin platform are fostering stronger cryptographic resilience. Major tech players—eyeing the transformative trajectory of quantum computing—are already providing quantum capabilities through cloud services, underscoring the urgency for organizations to harness these emerging technologies to fortify their cybersecurity posture against quantum-scale threats.

Summary

Quantum Mechanics Leap: Quantum computers leverage quantum mechanics, outperforming traditional computers in certain tasks.
Superior Processing: They offer unprecedented computational power, solving complex problems efficiently.
Cryptographic Algorithms Crisis: Current cryptographic algorithms may become vulnerable to quantum attacks.
Quantify the Quantum Threat: Assessing the quantum threat is essential for future-proof cybersecurity strategies.
Post-Quantum Cryptography Need: Development of quantum-resistant encryption methods is crucial.
Quantum Bits Revolution: Utilizing quantum bits (qubits) fundamentally changes data processing and security.
Crypto Agility is Paramount: Organizations must adapt to crypto agility to respond to quantum threats swiftly.
Key Distribution Redefined: Quantum key distribution promises enhanced security in the quantum era.
National Security Implications: Government agencies are deeply invested due to implications for national security.
Global Race for Quantum Supremacy: Powers vie for control over quantum computing’s immense potential.

Implication Aspect	Traditional computing	Quantum Computing
Computational Speed	Limited processing power	Exponential capabilities
Encryption	Currently secure	Potentially vulnerable
Security Focus	Crypto stability	Crypto agility
National Security	Important concern	Top priority

In summary, the rise of quantum computing presents both an opportunity and a formidable challenge for cybersecurity, necessitating the development of robust post-quantum cryptography and strategic adaptation across global industries.

* AI tools were used as a research assistant for this content.

MicroSolved’s vCISO Services: A Smart Way to Boost Your Cybersecurity

Posted on June 5, 2024 by Brent Huston

Cybersecurity is always changing. Organizations need more than just security tools. They also need expert advice to deal with complex threats and weaknesses. This is where MSI’s vCISO services can help. MSI has a long history of being great at information security. Their vCISO services are made just for your organization to make your cybersecurity better and keep you safe from new threats.

Why MSI’s vCISO Services are a Good Choice:

Expert Advice: MSI’s vCISO services provide high-level guidance, helping align your cybersecurity plans with your business goals. MSI’s team has many years of experience, making sure your security policies follow industry standards and actually work against real threats.
Custom Risk Management: Every organization has different risks and needs. MSI customizes its vCISO services to fit your exact situation. Their services cover risk reviews, policy making, and compliance.
Proactive Threat Intelligence: MSI has advanced threat intelligence tools, like its HoneyPoint™ Security Server. vCISO services use real-time threat data in your security operations, helping you find, respond to, and reduce attacks.
Full Incident Response: If a security incident occurs, MSI’s vCISO services ensure that you respond quickly and effectively. They help plan incident response, hunt threats, and conduct practice exercises. This prepares your team for potential breaches and limits disruption to your work.
Long-term Partnership: MSI wants to build long relationships with clients. vCISO services are made to change as your organization changes. They provide constant improvement and adapt to new security challenges. MSI is committed to helping your security team do well over time.

Take Action

MSI’s vCISO services can improve your organization’s cybersecurity. You can get expert advice, proactive threat intelligence, and full risk management tailored to your needs.

Email info@microsolved.com to get started.

Using MSI’s vCISO services, you strengthen your cybersecurity and get a strategic partner to help you succeed long-term in the always-changing digital world. Reach out today and let MSI help guide your cybersecurity journey with confidence.

* AI tools were used as a research assistant for this content.

How to Craft Effective Prompts for Threat Detection and Log Analysis

Posted on April 22, 2024 by Brent Huston

Introduction

As cybersecurity professionals, log analysis is one of our most powerful tools in the fight against threats. By sifting through the vast troves of data generated by our systems, we can uncover the telltale signs of malicious activity. But with so much information to process, where do we even begin?

The key is to arm ourselves with well-crafted prompts that guide our investigations and help us zero in on the threats that matter most. In this post, we’ll explore three sample prompts you can use to supercharge your threat detection and log analysis efforts. So grab your magnifying glass, and let’s dive in!

Prompt 1: Detecting Unusual Login Activity

One common indicator of potential compromise is unusual login activity. Attackers frequently attempt to brute force their way into accounts or use stolen credentials. To spot this, try a prompt like:

Show me all failed login attempts from IP addresses that have not previously authenticated successfully to this system within the past 30 days. Include the source IP, account name, and timestamp.

This will bubble up login attempts coming from new and unfamiliar locations, which could represent an attacker trying to gain a foothold. You can further refine this by looking for excessive failed attempts to a single account or many failed attempts across numerous accounts from the same IP.

Prompt 2: Identifying Suspicious Process Execution

Attackers will often attempt to run malicious tools or scripts after compromising a system. You can find evidence of this by analyzing process execution logs with a prompt such as:

Show me all processes launched from temporary directories or user profile AppData directories. Include the process name, associated username, full command line, and timestamp.

Legitimate programs rarely run from these locations, so this can quickly spotlight suspicious activity. Pay special attention to scripting engines like PowerShell or command line utilities like PsExec being launched from unusual paths. Examine the full command line to understand what the process was attempting to do.

Prompt 3: Spotting Anomalous Network Traffic

Compromised systems frequently communicate with external command and control (C2) servers to receive instructions or exfiltrate data. To detect this, try running the following prompt against network connection logs:

Show me all outbound network connections to IP addresses outside of our organization’s controlled address space. Exclude known good IPs like software update servers. Include source and destination IPs, destination port, connection duration, and total bytes transferred.

Look for long-duration connections or large data transfers to previously unseen IP addresses, especially on non-standard ports. Correlating this with the associated process can help determine if the traffic is malicious or benign.

Conclusion

Effective prompts like these are the key to unlocking the full potential of your log data for threat detection. You can quickly identify the needle in the haystack by thoughtfully constructing queries that target common attack behaviors.

But this is just the beginning. As you dig into your findings, let each answer guide you to the next question. Pivot from one data point to the next to paint a complete picture and scope the full extent of any potential compromise.

Mastering the art of prompt crafting takes practice, but the effort pays dividends. Over time, you’ll develop a robust library of questions that can be reused and adapted to fit evolving needs. So stay curious, keep honing your skills, and happy hunting!

More Help?

Ready to take your threat detection and log analysis skills to the next level? The experts at MicroSolved are here to help. With decades of experience on the front lines of cybersecurity, we can work with you to develop custom prompts tailored to your unique environment and risk profile. We’ll also show you how to integrate these prompts into a comprehensive threat-hunting program that proactively identifies and mitigates risks before they impact your business. Be sure to start asking the right questions before an attack succeeds. Contact us today at info@microsolved.com to schedule a consultation and build your defenses for tomorrow’s threats.

* AI tools were used as a research assistant for this content.

Keeping Track of Your Attack Surfaces

Posted on October 24, 2023 by Brent Huston

In the modern, digitally connected realm, the phrase “out of sight, out of mind” could have calamitous implications for organizations. As cyber adversaries incessantly evolve in their nefarious techniques, staying ahead in the cybersecurity arms race is imperative. One robust strategy that has emerged on the horizon is Continuous Threat Exposure Management (CTEM) programs. These programs are pivotal in enabling organizations to meticulously understand and manage their attack surface, thus forming a resilient shield against malicious onslaughts such as ransomware attacks.

A deeper dive into CTEM unveils its essence: it’s an ongoing vigilance protocol rather than a one-off checklist. CTEM programs provide a lucid view of the potential vulnerabilities and exposures that adversaries could exploit by continuously scanning, analyzing, and evaluating the organization’s digital footprint. This proactive approach transcends the conventional reactive models, paving the way for a fortified cybersecurity posture.

Linking the dots between CTEM and ransomware mitigation reveals a compelling narrative. Ransomware attacks have metamorphosed into a menace that spares no industry. The grim repercussions of these attacks underscore the urgency for proactive threat management. As elucidated in our previous blog post on preventing and mitigating ransomware attacks, a proactive stance is worth its weight in digital gold. Continuous Threat Exposure Management acts as a linchpin in this endeavor by offering a dynamic, real-time insight into the organization’s attack surface, enabling timely identification and remediation of vulnerabilities.

MicroSolved (MSI) stands at the forefront in championing the cause of proactive cybersecurity through its avant-garde CTEM solutions. Our offerings are meticulously crafted to provide a panoramic view of your attack surface, ensuring no stone is left unturned in identifying and mitigating potential threats. The amalgamation of cutting-edge technology with seasoned expertise empowers organizations to stay several strides ahead of cyber adversaries.

As cyber threats loom larger, embracing Continuous Threat Exposure Management is not just an option but a quintessential necessity. The journey towards a robust cybersecurity posture begins with a single step: understanding your attack surface through a lens of continuous vigilance.

We invite you to contact MicroSolved (MSI) to explore how our CTEM solutions can be the cornerstone in your quest for cyber resilience. Our adept team is poised to guide you through a tailored roadmap that aligns with your unique organizational needs and objectives. The digital realm is fraught with peril, but with MicroSolved by your side, you can navigate through it with confidence and assurance.

Contact us today and embark on a journey towards transcending the conventional boundaries of cybersecurity, ensuring a safe and secure digital sojourn for your organization.

* Just to let you know, we used some AI tools to gather the information for this article, and we polished it up with Grammarly to make sure it reads just right!

The Biggest Challenges to Firms using Cyber Threat Intelligence

Posted on January 10, 2022 by Brent Huston

Cyber threat intelligence is one of the hottest topics in cybersecurity today. Many firms are investing heavily in developing and deploying solutions to identify and respond to cyber threats. But despite the hype surrounding cyber threat intelligence, many firms still struggle to make sense of the data they collect.

Why are firms struggling to make sense of their data, and how they can overcome this challenge? We asked around. It looks like three key challenges emerged, and here they are:

1. Data quality – How do we know if our data is accurate?

2. Data volume – How much data do we need to store?

3. Data integration – How do we combine multiple sources of data?

We’re working on ideas around these 3 most common problems. We’re working with firms of all sizes to help solve them. When we get to firm, across-the-board answers, we’ll post them. In the meantime, knowing the most common issues firms are facing in the threat intelligence arena gives us all a good place to start.

Got workarounds or solutions to these issues? Drop me a line on Twitter (@lbhuston) and let me know how you’re doing it. We’ll share the great ideas as they are proven out.

Saved By Ransomware Presentation Now Available

Posted on November 5, 2020 by Brent Huston

I recently spoke at ISSA Charlotte, and had a great crowd via Zoom.

Here is the presentation deck and MP3 of the event. In it, I shared a story about an incident I worked around the start of Covid, where a client was literally saved from significant data breach and lateral spread from a simple compromise. What saved them, you might ask? Ransomware.

That’s right. In this case, ransomware rescued the customer organization from significant damage and a potential loss of human life.

Check out the story. I think you’ll find it very interesting.

Let me know if you have questions – hit me up the social networks as @lbhuston.

Thanks for reading and listening!

Deck: https://media.microsolved.com/SavedByRansomware.pdf

MP3: https://media.microsolved.com/SavedByRansomware.mp3

PS – I miss telling you folks stories, in person, so I hope you enjoy this virtual format as much as I did creating it!

3 Threats We Are Modeling for Clients These Days

Posted on January 20, 2020 by Brent Huston

Just a quick post today to discuss three threat scenarios we are modeling frequently with clients these days. #ThreatModeling

1) Ransomeware or other malware infection sourced from managed service providers – this scenario is become a very common issue, so common that DHS and several other organizations have released advisories. Attacker campaigns against managed services providers have been identified and many have yielded some high value breaches. The most common threat is spear phishing into a MSP, with the attackers eventually gaining access to the capability to push software to the clients. They then push a command and control malware or a ransomware infection down the pipe. Often, it is quite some time before the source of the event is traced back to the MSP. The defenses here are somewhat limited, but the scenario definitely should be practiced at the tabletop level. Often, these MSPs have successfully passed a SOC audit, but have very little security maturity beyond the baselines.

2) Successful credential stuffing attacks against Office 365 implementations leading to wire/ACH/AP fraud – This is another very common scenario, not just for banks and credit unions, but a lot of small and mid-size organizations have fallen victim to it as well via account payable attacks. In the scenario, either a user is phished into giving up credentials, or a leaked set of credentials is leveraged to gain access to the Office 365 mail and chat system. The attackers then leverage this capability to perform their fraud, appearing to come from internal email accounts and chats. They often make use of stored forms and phish their way to other internal users in the approval chain to get the money to actually move. Once they have their cash, they often use these email accounts to spread malware and ransomware to other victims inside the organization or in business partners – continuing the chain over and over again. The defenses here are to MFA, limited access to the O365 environment to require VPN or other IP-specifc filtering, hardening the O365 environment and enabling many of the detection and prevention controls that are off by default.

3) Voicemail hacking and dial-system fraud – I know, I know, it’s 2020… But, this remains an incredibly impactful attack, especially against key management employees or employees who traffic in highly confidential data. Often this is accessed and then either used for profit via trading (think M&A info) or as ransom/blackmail types of social engineering. Just like above, the attackers often hack one account and then use social engineering to get other users to follow instructions around fraud or change their voicemail password to a given number, etc. Larger corporations where social familiarity of employees and management is low are a common attack target. Dial system fraud for outbound long distance remains pretty common, especially over long weekends and holidays. Basically, the attackers hack an account and use call forwarding to send calls to a foreign number – then sell access to the hacked voicemail line, changing the destination number for each caller. Outbound dial tone is also highly regarded here and quite valuable on the underground markets. Often the fraud goes undetected for 60-90 days until the audit process kicks in, leaving the victim several thousand dollars in debt from the illicit activity. The defenses here are voicemail and phone system auditing, configuration reviews, hardening and lowering lockout thresholds on password attempts.

We can help with all of these issues and defenses, but we love to help organizations with threat scenario generation, threat modeling and attack surface mapping. If you need some insights into outside the box attacks and fraud potential, give us a call. Our engagements in this space are informative, useful and affordable.

Thanks for reading, and until next time, stay safe out there!

Introducing ClawBack :: Data Leak Detection Powered By MicroSolved

Posted on November 1, 2019 by Brent Huston

Cb 10 We’ve worked with our clients and partners to put together a world-class data leak detection platform that is so easy to use that most security teams have it up and running in less than five minutes. No hardware appliance or software agent to deploy, no console to manage and, best of all, affordable for organizations of any size.

In short, ClawBack is data leak detection done right.

There’s a lot more to the story, and that’s why we put together this short (3 minute) video to describe ClawBack, its capabilities and why we created it. Once you check it out, we think you’ll see just how ClawBack fits the mission of MSI to make the online world safer for all of us.

View the video here.

You can also learn a lot more about ClawBack, its use cases and some of the ways we hope it can help you here. On that page, you can also find pricing for three different levels of service, more videos walking you through how to sign up and a video demo of the platform.

Lastly, if you’d like to just get started, you can visit the ClawBack Portal, and select Register to sign up and put ClawBack to work immediately on providing detection for your leaked data.

In the coming weeks, we’ll be talking more about what drove us to develop ClawBack, the success stories we’ve had just while building and testing the platform, and provide some more specifics about how to make the most of ClawBack’s capabilities. In the meantime, thanks for reading, check it out and if you have any questions, drop us a line.

Are You Seeing This? Join a Threat Sharing Group!

Posted on November 15, 2017 by Brent Huston

Just a quick note today about threat sharing groups.

I am talking to more and more companies and organizations that are putting together local, regional or vertical market threat sharing groups. These are often adhoc and usually driven by security practitioners, who are helping each other with cooperative defenses and sharing of new tactics and threat patterns (think TTPs (tactics, techniques & procedures)) or indicators of compromise (IOCs). Many times, these are informal email lists or RSS feeds that the technicians subscribe to and share what they are seeing in the trenches.

A few folks have tried to commercialize them, but in most cases, these days, the sharing is simply free and open.

If you get a chance to participate in one or more of these open source networks, you might want to check it out. Many of our clients are saying great things about the data they get via the networks and often they have helped contain incidents and breaches in a rapid fashion.

If you want to discuss your network, or if you have one that you’d like me to help promote, hit me up on Twitter (@lbhuston). If you are looking for one to join, check Twitter and I’ll share as folks allow, or I’ll make private connections as possible.

As always, thanks for reading, and until next time, stay safe out there!