Passkeys, Not Passcodes: A Practical Enterprise Guide to Moving Beyond Passwords

There is a small terminology problem in the identity world right now, and it matters more than it looks.

passcode or PIN is usually a local unlock secret. It unlocks a phone, a laptop, Windows Hello, an authenticator app, or a hardware security key. A passkey is different. A passkey is the standards-based replacement for passwords, built on FIDO2/WebAuthn. The user unlocks the passkey locally with a fingerprint, face scan, device PIN, pattern, or security key, but the website or application receives cryptographic proof — not a reusable password. FIDO defines passkeys as FIDO authentication credentials based on FIDO standards, tied to an account, and used with the same process the user already uses to unlock a device. 

That distinction is not pedantry. It is the difference between a local unlock method and a replacement for one of the most abused controls in the history of computing.

Passwords have had a long run. They also have had a long list of failures: reuse, phishing, spraying, stuffing, database theft, weak reset workflows, help desk abuse, and user fatigue. We have spent decades trying to compensate for those failures with complexity rules, expiration schedules, password managers, SMS codes, mobile push prompts, training campaigns, and detective controls.

Some of those helped. Some just moved the pain around.

Passkeys change the model.

They are not merely “better passwords.” They are a different authentication architecture.

A hacker is seated in front of a computer fingers poised over the keyboard They are ready to break into a system and gain access to sensitive information 6466041

The Problem: Passwords Are Shared Secrets in a World Built to Steal Them

A password proves identity by revealing a secret. That is the root of the problem.

When users type passwords into websites, there is always a chance they will type them into the wrong website. When companies store password material, there is always a chance attackers will steal it. When people reuse passwords, a breach in one place becomes an entry point somewhere else. When attackers automate guessing, weak and reused passwords become an industrial-scale attack surface.

Microsoft’s 2025 Digital Defense Report says 97% of identity attacks were password spray attacks, which is a pretty direct reminder that attackers still love the boring stuff that works. Verizon’s 2026 DBIR highlights that breaches continue to involve the human element, phishing, stolen credentials, ransomware, and software vulnerability exploitation — and also reports that 31% of breaches now start with software vulnerabilities, beating stolen passwords as the top initial entry point in that dataset. 

That combination matters. It tells us two things at once.

First, passwords remain a major identity risk. Second, replacing passwords is not the whole security program.

That is the right mental model for passkeys: they are a major improvement in authentication, not a magic shield around the enterprise.

What a Passkey Does Differently

A password is something the user knows and types.

A passkey is a cryptographic credential. When the user registers a passkey for a site or application, the device creates a unique public/private key pair. The private key stays with the authenticator or passkey provider. The public key is registered with the service. At sign-in, the service sends a fresh challenge. The authenticator signs the challenge with the private key. The service verifies the response with the public key.

No reusable password crosses the wire.

No password database needs to be protected in the same way.

No user has to remember whether the login page looks slightly wrong.

The protocol carries a lot of the security burden that we previously dumped on the user.

That is the real breakthrough.

FIDO describes passkeys as password replacement technology that uses cryptographic key pairs for phishing-resistant sign-in. It also notes that passkeys can be synced across devices or bound to a particular device. Microsoft Entra describes the same basic model: the private key is stored on the user device, the public key is stored with the app or website, and both unique keys are needed to sign in. 

The user experience is simple: unlock the device.

The security model is not simple — and that is a good thing.

The Plain-English Explanation for Users

For users, do not start with asymmetric cryptography. Start with what changes for them.

“A passkey is a safer way to sign in without typing a password. Instead of remembering and entering a password, you unlock your phone, laptop, or security key. The website gets proof that your device has the right key, but it never gets a password. That means there is no password for you to forget, reuse, mistype, or accidentally give to a fake website.”

That is enough for most end users.

Then answer the question they are really asking:

Does the website get my fingerprint or face scan?

No. The biometric check happens locally. FIDO states that biometric information and processing remain on the device and are not sent to a remote server; the server receives assurance that the biometric check succeeded. 

Is my device PIN now my corporate password?

No. NIST distinguishes centrally verified passwords from local activation secrets. A device PIN or unlock secret used locally to access an authenticator is not sent to the verifier the way a website password is. 

That is an important communication point. Users often hear “PIN” and think “weak password.” In a passkey model, the PIN is usually a local unlock mechanism protecting the private key, not the secret being verified by the website.

Why Passkeys Reduce Risk

Passkeys reduce several common attack paths:

Risk How passkeys help
Phishing The user does not type a reusable password, and the passkey is scoped to the legitimate relying party. A fake site should not be able to obtain a valid assertion for the real site.
Credential stuffing There is no shared password to reuse from another breach.
Password spraying Attackers cannot guess a password that is no longer accepted for that workflow.
Password database theft The service stores public key material rather than reusable passwords.
Weak MFA interception Passkeys can replace password plus SMS OTP, password plus TOTP, or password plus push approval in many use cases.
User fatigue Users approve sign-in with a familiar local unlock gesture rather than remembering and typing complex passwords.

FIDO states that passkeys are resistant to phishing, designed without shared secrets, and can replace legacy MFA flows such as password plus SMS OTP. FIDO also notes that common second factors such as OTPs and phone approvals remain phishable. NIST is similarly direct: passwords are not phishing-resistant, and authenticator outputs manually entered into an impostor verifier — such as OTP-style flows — are not considered phishing-resistant because they can be relayed. 

That last point is key.

A lot of organizations believe they solved phishing because they deployed MFA. In many cases, they deployed phishable MFA. That is better than passwords alone, but it is not the same as phishing-resistant authentication.

What Actually Happens Under the Hood

There are two ceremonies that matter: registration and authentication.

Registration

When a user creates a passkey:

  1. The user starts registration through an approved enrollment path.
  2. The relying party sends registration options to the browser or application.
  3. The browser or app calls the WebAuthn API.
  4. The authenticator creates a new public/private key pair scoped to that relying party.
  5. The private key stays in the authenticator or passkey provider.
  6. The public key, credential ID, user handle, flags, and optional attestation data are returned.
  7. The relying party stores the credential record with the user account.

W3C WebAuthn describes a model where the public key is returned to the relying party during registration, while the private key is bound to the authenticator and is expected not to be exposed. It also describes the credential record that the relying party stores for later authentication ceremonies. 

Authentication

When the user signs in later:

  1. The relying party generates a fresh random challenge.
  2. The browser or app sends the challenge and relying-party information to the authenticator.
  3. The authenticator checks whether it has a credential scoped to that relying party.
  4. The user performs local verification, such as biometric, PIN, device unlock, or security-key touch.
  5. The authenticator signs the challenge and relevant context.
  6. The relying party verifies the signature using the stored public key.
  7. The relying party checks the challenge, origin, RP ID, user verification flags, and policy requirements before granting access.

WebAuthn depends on randomized challenges to prevent replay attacks, and the relying party must generate those challenges in a trusted environment and verify that the returned challenge matches. 

This is why passkeys are different from passwords. A password login proves identity by disclosing a shared secret. A passkey login proves possession of a private key without disclosing it.

Why Phishing Resistance Works

The important concept is origin binding or relying party binding.

A passkey created for one legitimate service is not supposed to work for an attacker’s lookalike domain. A fake site may fool the human eye, but it should not be able to get a valid passkey assertion for the real service’s relying party ID.

W3C WebAuthn notes that credentials are scoped to a specific relying party and that only that relying party, identified by its RP ID, can use the credential in authentication ceremonies. It also warns relying parties not to accept unexpected origins, because origin validation is an additional layer of protection. 

That is the practical security gain.

The protocol stops relying solely on user vigilance.

We should still train users. We should still harden browsers. We should still detect malicious domains. But the highest-value control is to prevent the stolen credential from existing in the first place.

User Presence vs. User Verification

Two terms get mixed together too often:

Concept Plain-English meaning Why it matters
User presence The user touched the key, approved the prompt, or was physically involved. Helps prove that authentication was not entirely silent.
User verification The authenticator locally verified the user with a PIN, biometric, or equivalent method. Provides stronger assurance that the right person, not merely the right device, approved the login.

WebAuthn authenticator data includes flags for User Present and User Verified. For enterprise deployments, user verification should be required for normal workforce access and especially for privileged access.

Do not settle for “the device was there” when the workflow needs “the authorized user unlocked the credential.”

Attestation: Knowing What Created the Key

Attestation answers a simple question:

What kind of authenticator created this credential, and do we trust that model for this use case?

For broad workforce adoption, strict attestation may not always be required. Many consumer passkey providers do not expose the same provenance details, and requiring attestation everywhere can create adoption friction.

For privileged users, administrators, financial approvers, developers, security staff, and high-risk workflows, attestation becomes much more important. In those cases, the organization may want to allow only approved hardware security keys, approved device-bound passkeys, or approved enterprise passkey providers.

Microsoft Entra allows attestation enforcement at the passkey profile level. When attestation is enabled, only device-bound passkeys are allowed and synced passkeys are excluded. 

That is the correct direction for high-risk access.

Use convenience where the risk allows it. Use hardware-backed assurance where the blast radius demands it.

Synced Passkeys vs. Device-Bound Passkeys

Not all passkeys carry the same operational risk.

Type What it means Good fit Risk notes
Synced passkey The credential can be synced across devices through a passkey provider, such as an OS/cloud keychain or password manager. Standard workforce, lower-risk SaaS, broad adoption, BYOD-friendly scenarios. Better usability and recovery, but introduces sync-fabric, sharing, restore, and account-recovery risks.
Device-bound passkey The private key remains tied to one device or authenticator. Admins, executives, finance, developers, security teams, regulated workflows. Stronger control and provenance, but higher support cost and lockout risk.
Hardware security key A roaming authenticator, often USB/NFC/BLE, with keys protected in dedicated hardware. Highest-risk users, break-glass accounts, privileged access, financial approvals. Requires inventory, backup keys, training, and lifecycle management.

NIST allows syncable authenticators in applications seeking up to AAL2, but AAL3 requires a phishing-resistant authenticator with a non-exportable key. NIST explicitly says syncable authenticators cannot be used at AAL3 because their private keys are inherently exportable. 

That gives us a clean enterprise rule:

Use synced passkeys where usability and broad risk reduction matter most. Use device-bound credentials or hardware security keys where privilege, regulation, or business impact requires stronger assurance.

The Big Deployment Mistake: Turning On Passkeys and Declaring Victory

The wrong strategy is simple:

“We enabled passkeys. We are passwordless now.”

No.

A passkey project is not just an IdP configuration change. It is an identity modernization project.

The common failures are predictable:

  1. Weak fallback methods remain enabled.
  2. Recovery workflows become the new attack path.
  3. Privileged users are treated the same as standard users.
  4. Legacy applications keep password paths alive.
  5. Enrollment is not monitored.
  6. Exceptions never expire.
  7. Help desk processes are not hardened.
  8. Service accounts are ignored.
  9. Token theft and session abuse are treated as unrelated problems.

Passkeys reduce credential compromise risk. They do not solve endpoint malware, stolen browser sessions, OAuth abuse, SaaS misconfiguration, vulnerable internet-facing systems, malicious insiders, or weak vendor access.

Identity security is a system. Passkeys are one of the strongest components we have, but they still have to be engineered into the system.

Enterprise Implementation Methodology

The enterprise goal should be stated plainly:

Move the organization from password-centric authentication to phishing-resistant authentication while reducing weak fallback methods, hardening recovery, and tiering controls by risk.

Phase 0: Define Scope, Risk Tiers, and Target State

Start with decisions, not tools.

Decide:

  • Which IdP or IdPs are authoritative?
  • Which users are highest risk?
  • Which applications can use SSO?
  • Which applications support native WebAuthn/FIDO2?
  • Which workflows require phishing-resistant authentication immediately?
  • Which users may use synced passkeys?
  • Which users must use device-bound passkeys or hardware keys?
  • What fallback methods are acceptable during transition?
  • What is the exception process?
  • What is the recovery process?
  • What logs must be collected?
  • What metrics will leadership see?

Then build a risk-tier model.

Tier Examples Recommended approach
Tier 0 / highest privilege Global admins, domain admins, IdP admins, cloud admins, PAM admins, break-glass accounts. Two approved device-bound credentials or hardware security keys; attestation required where possible; no SMS, TOTP, or push fallback.
Tier 1 / high risk Executives, finance, HR, developers, help desk, security team, wire/ACH approvers. Device-bound preferred; synced allowed only with managed device and strong conditional access; hardened recovery.
Tier 2 / standard workforce General staff using SaaS and productivity apps. Synced or platform passkeys allowed; user verification required; backup method required before enforcement.
Tier 3 / frontline/shared device Kiosks, shared workstations, shift users. Hardware keys, badge-integrated FIDO, named-user access, or carefully designed shared-device strategy.
Third parties Vendors, contractors, MSPs. Require phishing-resistant MFA for privileged or sensitive access; enforce federation and conditional access.
Service accounts Non-human accounts, integrations, automations. Do not use passkeys. Use managed identities, workload identity federation, certificates, scoped tokens, vaulting, and rotation.

The biggest lesson: do not flatten the organization. A payroll clerk, a warehouse kiosk user, a cloud administrator, and a break-glass account do not carry the same risk.

Phase 1: Inventory Authentication Surfaces

Before enforcement, inventory where authentication actually happens.

Minimum fields should include:

  • Application or system name
  • Business owner
  • Authentication path
  • IdP integration
  • Current MFA methods
  • WebAuthn/FIDO2 support
  • SSO capability
  • User population
  • Privilege level
  • Recovery path
  • Logging source
  • Legacy protocols
  • Exception owner
  • Exception expiration date

Pay special attention to legacy authentication. Basic auth, old VPN flows, app passwords, IMAP/POP/SMTP AUTH, ROPC, local admin portals, unmanaged SaaS accounts, and shadow IdPs can quietly preserve the password attack surface after leadership thinks the problem is fixed.

This is where many “passwordless” projects fail. The modern front door gets hardened, but the side doors stay open.

Phase 2: Choose the Enterprise Passkey Architecture

Most organizations will deploy passkeys through their primary identity provider.

Microsoft Entra ID

Microsoft Entra supports passkeys using FIDO2/WebAuthn concepts and describes both device-bound passkeys and synced passkeys. Microsoft also recommends FIDO2 security keys for highly regulated industries or users with elevated privileges, while describing synced passkeys as a convenient, lower-cost option for most users outside highly regulated or sensitive contexts. 

A good Entra pattern usually includes:

  • Separate passkey profiles for standard users and privileged users.
  • Device-bound/security-key requirements for administrators.
  • Attestation enforcement for high-risk profiles where feasible.
  • Conditional Access authentication strengths.
  • Managed device requirements for sensitive access.
  • At least two authenticators enrolled before enforcement.
  • Removal of SMS, voice, TOTP, and push fallback for privileged users.
  • Logging of registration, removal, sign-in, recovery, and policy changes.

Google Workspace

Google Workspace administrators can allow users to skip password sign-in challenges and use a passkey covering first and second-factor authentication. Google also notes that administrators can restrict passkeys to hardware security keys only and can monitor passkey enrollment and usage through the security investigation tool. 

A good Google Workspace pattern usually includes:

  • Enabling skip-password capability by organizational unit.
  • Restricting hardware security keys for privileged OUs where required.
  • Confirming users have enrolled backup methods before enforcement.
  • Monitoring passkey enrollment and successful passkey sign-ins.
  • Removing weaker fallback for high-risk users.
  • Aligning device management and account recovery policies.

Okta

Okta describes Passkeys/FIDO2 WebAuthn and Okta FastPass as phishing-resistant authenticators and supports app sign-in policies that require phishing-resistant possession factors. Okta also logs phishing-resistant authentication events, including declined phishing attempts. 

A good Okta pattern usually includes:

  • Enabling Passkeys/FIDO2 WebAuthn and/or Okta FastPass.
  • Creating authenticator enrollment policies by risk group.
  • Requiring phishing-resistant authenticators for sensitive apps.
  • Using app sign-in policies rather than broad, one-size-fits-all rules.
  • Integrating managed device posture where available.
  • Alerting on enrollment changes, recovery activity, and phishing-resistant authentication failures.

Phase 3: Pilot With the People Who Can Break the Program Safely

Pilot with IT, security, identity administrators, help desk, a small executive group, finance users, mobile users, and a few users who are likely to have edge cases.

Test:

  • New device enrollment
  • Lost device recovery
  • Hardware key enrollment
  • Mobile sign-in
  • Cross-device sign-in
  • VPN access
  • SaaS access
  • Admin portal access
  • Password reset flows
  • Help desk identity verification
  • Offboarding
  • Break-glass access
  • Legacy application behavior
  • Logging and SIEM correlation
  • User communications

The pilot is not just about whether passkeys work. It is about whether the organization can support them without creating a weaker recovery path than the password path it replaced.

Phase 4: Roll Out by Risk, Not by Org Chart

The rollout sequence should be boring and deliberate:

  1. Identity administrators and security team.
  2. Cloud administrators and PAM administrators.
  3. Break-glass accounts.
  4. Finance, payroll, HR, executives, and developers.
  5. Help desk and support teams.
  6. General workforce.
  7. Third parties with privileged or sensitive access.
  8. Remaining business applications through SSO modernization.

Do not start with “everyone by Friday.” Start with the users whose compromise would hurt the most and whose workflows you can monitor carefully.

Phase 5: Harden Recovery, Lifecycle, and Monitoring

Attackers follow the path of least resistance.

If passkeys close the front door, attackers will look at recovery, registration, device replacement, and help desk exceptions.

Recovery controls should include:

  • Strong identity verification for authenticator reset.
  • Separate procedures for standard users and privileged users.
  • Two-person approval for privileged recovery.
  • Out-of-band callback using known-good contact information.
  • No recovery approval based solely on email access.
  • Logging and alerting for passkey addition, removal, reset, and recovery.
  • Time-bound temporary access.
  • Post-recovery review.
  • Executive reporting on recovery volume and exceptions.

NIST’s usability guidance explicitly calls out the need to provide users information about what to do if an authenticator is lost or stolen and to consider alternative authentication options for loss, damage, or availability issues. 

The enterprise interpretation is simple: do not enforce passkeys until recovery is engineered.

Policy Baseline Language

Here is a practical policy statement to adapt:

The organization will transition workforce authentication from password-centric methods to phishing-resistant authentication using passkeys based on FIDO2/WebAuthn. Standard users may use approved synced or device-bound passkeys. Privileged, administrative, financial, and other high-risk users must use approved device-bound passkeys or hardware security keys. Passwords, SMS OTP, voice OTP, email OTP, TOTP, and push approval may be used only as temporary transition or exception methods where explicitly risk-accepted. Account recovery, passkey registration, passkey removal, and fallback authentication are security-sensitive workflows and must be logged, monitored, and governed.

Minimum technical requirements:

Control Standard
User verification Required.
User presence Required where applicable.
Passkey count Minimum two approved authenticators per user before enforcement.
Admin authentication Device-bound FIDO2/security key; attestation preferred or required.
Standard workforce Synced or device-bound passkeys based on risk.
Shared accounts Prohibited where feasible; replace with named accounts and PAM.
Service accounts No passkeys; use workload identity or managed secrets.
Recovery Documented, verified, logged, and alert-generating.
Logging Registration, sign-in, failure, recovery, removal, device change, and admin changes.
Exceptions Time-bound, owner-assigned, and risk-accepted.

Enterprise Risk Register

Risk Probability Impact Mitigation
Weak fallback remains enabled High High Remove SMS/TOTP/push for admins first; enforce phishing-resistant authentication strength; maintain an exception register.
Help desk becomes the new attack path High High Require strong identity verification, callback procedures, two-person approval for privileged recovery, and recovery-event alerting.
Users lose access due to device loss Medium Medium Require two authenticators; issue backup keys for high-risk users; document recovery.
Synced passkeys are restored or shared to unmanaged devices Medium Medium/High Use managed profiles, MDM, device compliance, passkey provider controls, and device-bound keys for high-risk groups.
Legacy apps block enforcement High Medium/High Inventory apps, front with SSO, modernize authentication, isolate, or risk-accept temporarily.
Token theft bypasses authentication strength Medium High Use device compliance, session protection, continuous access evaluation, EDR, browser/session controls, and rapid revocation.
Attestation gaps create uncertainty Medium Medium Require attestation for privileged groups; use approved authenticator lists; allow non-attested only for lower-risk users.
BYOD creates inconsistent security posture Medium Medium Separate standard and high-risk use cases; require compliant devices for sensitive access.
Break-glass accounts remain password-only Medium High Use hardware keys, strong vaulting, monitoring, emergency access review, and tested procedures.
Users misunderstand biometrics Medium Low/Medium Explain that biometrics stay local and are not sent to the website, application, or employer.

A Practical 12-Month Roadmap

0–30 Days: Planning and Readiness

  • Define passkey policy and risk tiers.
  • Inventory applications and authentication paths.
  • Identify privileged and sensitive user groups.
  • Decide approved authenticator types.
  • Configure pilot policies in the IdP.
  • Draft help desk and recovery runbooks.
  • Prepare user communications.
  • Procure hardware security keys for administrators and high-risk users.

31–60 Days: Pilot

  • Enroll IT, security, and admin pilot users first.
  • Require at least two authenticators per pilot user.
  • Validate registration, sign-in, recovery, mobile, VPN, and legacy app behavior.
  • Run phishing-resistant authentication tests.
  • Tune SIEM alerts and help desk workflows.
  • Document blockers and exceptions.

61–90 Days: Privileged Enforcement

  • Require device-bound passkeys or hardware security keys for administrators.
  • Disable SMS, TOTP, and push fallback for admin accounts.
  • Require phishing-resistant authentication for IdP admin portals, cloud consoles, PAM, EDR, backup consoles, VPN admin access, finance approvals, and security tools.
  • Review break-glass accounts.
  • Begin executive and finance enrollment.

91–180 Days: Workforce Expansion

  • Enable passkey sign-in for all users.
  • Require two authenticators before enforcement.
  • Retire weak MFA for sensitive applications.
  • Move remaining password-based applications behind SSO where possible.
  • Track adoption metrics weekly.
  • Publish exceptions to leadership and security governance.

181–365 Days: Password Reduction and Optimization

  • Reduce password prompts.
  • Remove legacy authentication protocols.
  • Decommission app passwords and basic auth.
  • Expand phishing-resistant authentication to third parties.
  • Review account recovery events quarterly.
  • Run tabletop exercises and red-team simulations against recovery and fallback paths.
  • Add passkey support requirements to procurement and vendor risk management.

Metrics Leadership Should See

A passkey program needs measurement. Otherwise it becomes another “we turned it on” control.

Track:

  • Percent of users with at least one passkey.
  • Percent of users with at least two authenticators.
  • Percent of privileged users using device-bound credentials.
  • Password sign-ins by application.
  • Passkey sign-ins by application.
  • Failed passkey attempts.
  • Recovery events.
  • Passkey removals.
  • New authenticator registrations.
  • Weak MFA usage.
  • Exceptions by owner and expiration date.
  • Legacy authentication attempts.
  • High-risk users without compliant authentication.
  • Third-party users without phishing-resistant authentication.
  • Admin sign-ins that did not meet policy.

The dashboard should not be complicated. It should answer one question:

Are we actually reducing credential risk, or did we just add a new option?

What Passkeys Do Not Solve

This is the part vendors sometimes skip.

Passkeys do not fix:

  • Compromised endpoints.
  • Stolen session tokens.
  • Malware running in the user context.
  • OAuth consent abuse.
  • Overprivileged SaaS integrations.
  • Weak device management.
  • Poor logging.
  • Vulnerable internet-facing systems.
  • Help desk social engineering.
  • Weak account recovery.
  • Shared accounts.
  • Unmanaged vendor access.
  • Excessive privilege.
  • Poor offboarding.
  • Business process fraud.

That is not a criticism of passkeys. It is a reminder that identity security is layered.

Passkeys make it much harder to steal and replay credentials. That is a huge win. But attackers adapt. Once the password is gone, they will move toward recovery abuse, token theft, endpoint compromise, malicious OAuth grants, social engineering of support teams, and exploitation of systems that sit outside the modern IdP.

So build the rest of the program.

The Bottom Line

Passkeys are a major improvement because they remove the reusable password from the authentication ceremony.

They replace a shared secret with public-key cryptography, origin binding, local user verification, and challenge-response authentication. That is a structural improvement, not a cosmetic one.

But the right enterprise approach is not “turn on passkeys for everyone and declare victory.”

The right approach is:

  1. Use passkeys for broad workforce passwordless authentication.
  2. Use device-bound passkeys or hardware security keys for privileged and regulated users.
  3. Remove weak fallback methods.
  4. Harden recovery and lifecycle management.
  5. Measure adoption and residual risk.
  6. Tie identity hardening to endpoint security, session protection, vulnerability management, vendor access, and incident response.

Passkeys should be part of a rational identity security program.

Not hype.

Not magic.

Just better engineering.

More Information and Assistance

At MicroSolved, Inc., we help organizations move from security intentions to operational reality. Passkeys are a strong control, but the success of a passkey program depends on architecture, policy, implementation sequencing, recovery design, monitoring, and user communication.

MicroSolved can help your organization:

  • Assess your current authentication architecture.
  • Inventory password, MFA, SSO, and legacy authentication paths.
  • Build a passkey deployment roadmap.
  • Define risk tiers for standard, privileged, executive, financial, developer, and third-party users.
  • Design policy for synced passkeys, device-bound passkeys, and hardware security keys.
  • Harden account recovery and help desk workflows.
  • Configure SIEM monitoring and identity alerts.
  • Test fallback paths through tabletop exercises and adversarial simulations.
  • Build executive dashboards for identity risk reduction.
  • Integrate phishing-resistant authentication into broader security governance.

If you are planning a passkey rollout, struggling with legacy authentication, or unsure how to reduce password risk without creating new recovery risk, reach out to MicroSolved, Inc. We would be glad to help you think it through.

Contact MicroSolved at +1.614.351.1237 or info@microsolved.com.

Relax. We’re on watch.


References

  • FIDO Alliance — Passkeys and passwordless authentication. 
  • W3C — Web Authentication: An API for accessing Public Key Credentials, Level 3. 
  • NIST SP 800-63B — Authentication and Lifecycle Management. 
  • Microsoft Learn — Passkeys/FIDO2 authentication in Microsoft Entra ID. 
  • Google Workspace Admin Help — Allow users to skip passwords at sign-in. 
  • Okta Help — Phishing-resistant authentication. 
  • Microsoft Digital Defense Report 2025. 
  • Verizon 2026 Data Breach Investigations Report. 

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

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Worse, severity is a poor predictor of what is actually attacked. Only ~2% of published CVEs are ever exploited in the wild (768 of ~40k in 2024). CISA’s KEV catalog covers ~0.5% of all CVEs. So a severity-only program spends most of its effort on vulnerabilities no attacker will ever touch, while the handful that matter sit somewhere in the queue ranked by a number that doesn’t correlate with exploitation.

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The Evidence Supply Chain: How CISOs Build a Cyber Materiality Data Plane Before the Incident

A ransomware incident does not wait for the organization chart to catch up.

At 8:17 a.m., the SOC sees encryption activity on a file server. At 8:31, operations says the plant is still running. At 8:44, finance says revenue recognition may be affected if order processing stays down past noon. At 9:02, legal asks whether customer data was accessed. At 9:18, the forensic team says it is too early to tell. At 9:23, a vendor says the outage may have started in their environment. At 9:41, communications asks whether they should prepare a holding statement.

By hour two, everyone is working hard.

But they are not necessarily working from the same reality.

That is the problem.

Cyber materiality is often discussed as a decision problem. When does a cyber event become a board-level business event? When does it become reportable? When does it become material to investors, customers, regulators, lenders, or strategic partners?

Those are important questions. Public companies, for example, must disclose material cybersecurity incidents on Form 8-K within four business days after determining materiality, including the material aspects of the incident’s nature, scope, timing, and impact or reasonably likely impact.

But underneath that decision sits a deeper problem:

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Cyber Materiality Engineering: How CISOs Pre-Decide When Risk Becomes a Board Event

A ransomware incident does not stay technical for very long.

For about the first fifteen minutes, it may look like a security operations problem. A strange alert. A locked server. A suspicious authentication chain. A vendor portal behaving badly. A handful of systems no longer responding the way they should.

Then the blast radius starts to widen.

Operations wants to know whether they can keep running. Finance wants to know whether revenue recognition, cash movement, reserves, or forecasts are exposed. Legal wants to know whether notification clocks have started. The CEO wants to know what can be said, to whom, and when. The board wants to know whether this is “material.” Investors may eventually ask the same thing, only with less patience and more lawyers.

This is where many organizations discover that their cyber incident response plan is not really an enterprise decision plan. It tells people who to call. It tells the SOC how to preserve evidence. It may even have a communications tree and a sample press statement.

But it often does not answer the question that matters most in the first few hours:

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AI Agents Are Already Working for You. Who’s Managing Them?

AI Agents Are Not Applications. They Are Digital Workers.

Most organizations are adopting AI agents faster than they are learning how to govern them.

That is the problem.

A chatbot that answers questions is one thing. An AI agent that can access business data, use tools, trigger workflows, generate artifacts, make recommendations, or alter enterprise state is something else entirely.

At that point, the organization is no longer just deploying software.

It is introducing a new kind of operational actor.

That actor needs identity.

It needs boundaries.

It needs oversight.

It needs evidence.

It needs a human owner.

It needs a kill switch.

In other words, AI agents must be managed more like digital workers than ordinary applications.

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Why My AI Agents Needed CaneCorso as a Security Control Plane

AI agents are powerful because they can read, reason, summarize, decide, and act across a wide range of information sources.

That is also what makes them dangerous.

The more useful an agent becomes, the more likely it is to consume data I do not fully trust. Emails. Newsletters. RSS feeds. API responses. Documents sent as attachments. Social media. YouTube transcripts. Scraped search results. Web pages. Translated content. Random bits of text pulled from places where I do not control the author, the formatting, the intent, or the payload.

That is a very different security model than the one most of us are used to.

In traditional applications, we spend a lot of time separating code from data, users from administrators, trusted networks from untrusted networks, and internal systems from the internet. With LLMs and agents, all of those boundaries start to blur. Instructions, context, content, and intent all arrive in the same stream. The model has to reason over that stream, and the agent has to decide what to do with the result.

That is exactly why I wanted a security control plane in front of my own AI agents.

For me, that control plane became CaneCorso™.

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Cyber Risk Is Enterprise Value Risk : A Practical Portfolio Approach for VC and PE Firms

For venture capital and private equity executives, cyber security is no longer just an IT issue. It is a valuation issue, a governance issue, a revenue issue, and a portfolio resilience issue.

GenSec


There was a time when cyber security could be treated as a technical matter.

It lived with the IT team. It showed up in diligence as a paragraph buried deep in a report. It became important only when a customer asked a hard question, a regulator came knocking, or something on the network caught fire.

That time is over.

For venture capital and private equity firms, cyber risk has become enterprise value risk. It affects valuation. It affects revenue quality. It affects debt, insurance, customer trust, regulatory posture, exit readiness, and the ability of management teams to execute without being pulled into avoidable chaos.

More importantly, cyber risk is no longer limited to the portfolio company.

The investment firm itself is a high-value target.

Deal flow, confidential financials, legal strategy, investment committee material, banking relationships, limited partner communications, M&A plans, board materials, and executive correspondence all create a concentration of sensitive information. Attackers understand this. So do regulators, insurers, strategic buyers, enterprise customers, and increasingly, boards.

The uncomfortable truth is this:

Many investment firms still manage cyber risk as a fragmented collection of one-off assessments, inconsistent vendor reports, annual questionnaires, and “we’ll fix it after close” assumptions.

That approach does not scale. It does not give partners a clear view of exposure. It does not give operating teams a consistent way to prioritize improvement. And it certainly does not create the kind of defensible evidence that boards, buyers, customers, and limited partners expect when the questions get serious.

MicroSolved’s value proposition for VC and PE firms is simple:

Help reduce cyber risk, protect enterprise value, and improve portfolio resilience through practical, expert-led security assurance that scales from the fund to the portfolio.

That sounds like a mouthful, so let’s unpack it.

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CaneCorso™ and the Real Problems AI Is Creating for the Business

AI didn’t sneak into the enterprise.

It walked in through productivity.

Email triage. Document handling. Support workflows. Internal copilots. Retrieval systems. Early agentic use cases. All of it made sense at the time. All of it still does.

But something changed along the way.

We didn’t just adopt AI—we embedded it into workflows that can influence decisions, expose data, and take action.

That’s where the problem starts.

And it’s exactly where CaneCorso™ is designed to operate.

CaneCorsoAI


AI Risk Isn’t a Model Problem — It’s a Workflow Problem

There’s a persistent misunderstanding in the market right now.

Most conversations about AI security still center on the model—what it knows, how it behaves, whether it can be tricked.

That’s not where the real risk lives.

The real risk shows up when:

  • Untrusted content enters a workflow
  • That workflow uses AI to interpret or transform it
  • And the output influences business operations

That content might come from:

  • Email
  • Documents
  • OCR pipelines
  • Retrieved knowledge (RAG)
  • Support tickets
  • External data sources

Once it’s in the workflow, it’s no longer just data.

It’s influence.

CaneCorso™ exists to control that influence—before it becomes an operational problem.

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Introducing CaneCorso: An AI Application Firewall Built for Real Workflows

AI has officially crossed the line from experiment to infrastructure.

Email flows into copilots. Documents feed RAG pipelines. Support tickets trigger agents that can take action. The convenience is real—and so is the risk.

What hasn’t caught up is security.

Most security models were built for a world where inputs were predictable and trust boundaries were well-defined. That world doesn’t exist anymore. Today, untrusted content flows directly into systems that can reason, decide, and act.

That’s exactly where things get interesting—and dangerous.


When Good Data Carries Bad Instructions

One of the biggest misconceptions about AI security is that it’s a model problem. It’s not. It’s a workflow problem.

Attackers don’t need to break in anymore. They ride along with legitimate data—emails, PDFs, tickets, knowledge base entries—and inject instructions that your AI system may interpret as truth.

Think about what that means in practice:

  • A support ticket that contains hidden instructions
  • A PDF with embedded prompt injection
  • A knowledge base entry that poisons RAG outputs
  • An approval workflow manipulated through summarization

Layer in human behavior—blind trust, over-privileged access, weak validation—and you’ve got a system primed to fail in ways that traditional controls simply won’t catch.

CaneCorsoAI


A More Rational Approach to AI Security

CaneCorso™ takes a different path.

Instead of trying to block everything suspicious (and breaking workflows in the process), it follows what’s described in the Rational AI Security model —security that behaves more like an immune system than a wall.

That means:

  • Detecting and isolating threats without stopping the system
  • Treating all inbound content as untrusted by default
  • Preserving business continuity while reducing risk
  • Producing measurable, auditable outcomes

This isn’t theoretical. It’s a direct response to how AI systems actually behave in production.


One Control Plane for AI Workflows

At its core, CaneCorso gives you a shared AI Application Firewall—a single control plane that sits between your workflows and your models.

Instead of every team building its own brittle filters, you get consistent, reusable protection across:

  • Email triage and analysis
  • RAG pipelines and knowledge systems
  • Document AI and OCR ingestion
  • Support and ticketing workflows
  • Agent-driven automation

The platform delivers:

  • Runtime decisions: allow, sanitize, tokenize, or block
  • Privacy controls: redact or tokenize sensitive data before model exposure
  • Audit-ready logs: reasons, scores, and evidence you can actually use
  • Adversarial validation: Injection Scanner proves controls before and after deployment

This isn’t just about stopping attacks—it’s about making security operationally usable.

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