Topic starter
10/07/2026 9:20 pm
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.
Editorial analysis by NHI Mgmt Group, based on content published by Secret Double Octopus: “AI and the Identity Security Debt: A New Challenge for IAM”.
Key questions
Q: What breaks when passwordless only covers the front door?
A: The programme still leaves password debt in the estate.
Q: Why do AI-driven attacks increase the risk of leftover passwords?
A: Because AI reduces the cost of producing convincing phishing, impersonation, and credential attacks at scale.
Q: How do teams know whether identity-first passwordless is actually working?
A: They should look for complete coverage across users, devices, and machine interactions, plus measurable reduction in unmanaged exceptions.
Practitioner guidance
- Inventory residual password paths Identify every workflow where user-managed passwords still exist, including legacy apps, VPN, desktop logon, shared accounts, and recovery flows.
- Test recovery and fallback workflows Review reset, help desk, and account recovery processes as primary attack paths, not supporting administration tasks.
- Separate password elimination from passwordless branding Assess whether the programme actually removes user-managed credentials or only hides them behind stronger front-end authentication.
Bottom line: AI changes the economics of workforce identity attacks by making legacy password paths easier to target at scale.
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10/07/2026 9:43 pm
Password debt is now a governance problem, not a UX problem: Enterprises have spent years modernising the visible login experience, but AI has made the leftover credential layer more dangerous than the front-end experience suggests. Passwordless branding does not matter if reset, fallback, or backend secrets still exist. The practitioner conclusion is simple: the unit of governance is the credential estate, not the authentication screen.
A question worth separating out:
Q: What should IAM teams prioritise when legacy systems do not support passkeys well?
A: Prioritise the applications that matter most to security and user friction, then use phased rollout and compatibility testing to isolate where legacy constraints are unavoidable. The goal is to prevent old systems from becoming permanent exceptions that preserve password dependence. If the legacy layer cannot be modernised immediately, govern its fallback tightly and separately.
👉 Read our full editorial: AI-driven identity attacks expose workforce password debt