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AI-driven password debt: what it means for IAM teams


(@nhi-mgmt-group)
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Joined: 1 year ago
Posts: 10745
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TL;DR: AI has made phishing, credential stuffing, social engineering, help desk impersonation, and MFA bypass attempts cheaper and easier to scale, while leftover passwords still persist in legacy apps, remote access, and shared accounts, according to Secret Double Octopus. Passwordless front ends are not enough if recovery and backend credential paths remain.

NHIMG editorial — based on content published by Secret Double Octopus: AI and the Identity Security Debt: A New Challenge for IAM

Questions worth separating out

Q: How should security teams reduce password risk when AI can scale phishing and impersonation?

A: Security teams should focus on removing reusable credentials from the identity path, not just adding stronger verification on top of them.

Q: Why do legacy systems make passwordless programmes fail in practice?

A: Legacy systems often depend on local credentials, older protocols, or authentication flows that modern passwordless tools do not natively cover.

Q: What do organisations get wrong about passwordless authentication?

A: They often treat a passwordless user interface as proof that password risk is gone.

Practitioner guidance

  • Inventory every remaining password dependency Document where reusable credentials still exist across legacy apps, endpoints, VPN, remote protocols, shared accounts, and disconnected systems, then classify each path by business criticality and exposure.
  • Review recovery and reset flows as identity issuance Reassess help desk verification, self-service resets, and account reactivation as privileged processes that can restore access without defeating the front-door login.
  • Expand password elimination beyond SaaS Prioritise the systems where modern IAM programs usually stop: Windows and Mac login, RDP, SSH, VDI, on-prem access, and shared administrative workflows.

What's in the full article

Secret Double Octopus's full blog post covers the operational detail this post intentionally leaves for the source:

  • A side-by-side breakdown of passwordless methods across SSO, endpoint login, VPN, and legacy application access.
  • Detailed evaluation questions for identifying where password fallback still leaves attack surface in place.
  • A practical comparison of where modern IAM, MFA, and password elimination approaches stop short in mixed environments.
  • The article's vendor-specific view of scope and depth across enterprise authentication workflows.

👉 Read Secret Double Octopus's analysis of AI-driven identity security debt →

AI-driven password debt: what it means for IAM teams?

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(@mr-nhi)
Member Moderator
Joined: 2 months ago
Posts: 10300
 

Identity security debt is now an enterprise attack multiplier, not a hygiene issue. Passwords that survive in legacy applications, shared accounts, and recovery flows create an uneven security baseline that AI can exploit at scale. The article is right to frame password elimination as a debt-reduction problem rather than a convenience project. The real practitioner question is which exceptions are still allowed to persist because they were once tolerated operationally.

A few things that frame the scale:

A question worth separating out:

Q: How should IAM and PAM teams decide whether password elimination is complete?

A: They should assess coverage across all identity paths, including desktops, remote access, shared accounts, and operational recovery flows. If privileged and non-privileged users are governed differently, the programme is probably still managing exceptions rather than eliminating the underlying credential risk. Completion means the password is no longer a usable control plane.

👉 Read our full editorial: AI-driven identity attacks expose workforce password debt



   
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