How should organisations strengthen password and identity hygiene before AI tools become part of daily workflows?

Why This Matters for Security Teams

AI tools do not create a new password problem, but they do accelerate an old one. Once chat interfaces, copilots, and automation agents can reach mail, code, ticketing, or cloud APIs, any weak password, reused secret, or over-permissioned account becomes easier to abuse at scale. NHI Management Group research shows that 79% of organisations have experienced secrets leaks and 97% of NHIs carry excessive privileges, which turns routine hygiene into a control gap rather than a housekeeping task. The NIST Cybersecurity Framework 2.0 reinforces the need to identify, protect, detect, and respond across identity assets, not just endpoints.

Practitioners should think of AI readiness as preemptive identity hardening. That includes strong MFA, removal of shared logins, reducing standing access, and finding where credentials sit in code, config files, and logs before AI assistants begin indexing them. The Ultimate Guide to NHIs and Top 10 NHI Issues both show that poor visibility and slow rotation are common failure points. In practice, many security teams encounter credential abuse only after AI-connected workflows have already broadened the blast radius.

How It Works in Practice

The strongest approach is to clean up human and non-human identity foundations before AI is allowed into daily work. Start by inventorying all interactive accounts, service accounts, API keys, tokens, and certificates, then remove anything that is shared, stale, or not tied to an owner. For human users, enforce phishing-resistant MFA where possible and require password managers to eliminate reuse. For NHIs, shorten credential lifetimes and move toward just-in-time access so secrets are issued for a task and revoked when the task ends.

That matters because AI workflows tend to multiply where credentials can travel. Prompts may copy data into logs, assistants may call tools across systems, and automation may chain privileges in ways that were never intended. The NHI Management Group LLMjacking article highlights how exposed AWS credentials can be targeted within minutes, which is why rotation and revocation speed matter more when AI is in the loop. Current guidance suggests pairing identity hygiene with policy controls such as NIST Cybersecurity Framework 2.0 and runtime access limits that only expose the minimum tool set needed for each workflow.

• Eliminate shared passwords and shared API keys wherever an individual or workload owner can be assigned.
• Rotate exposed secrets quickly, then verify that old values are no longer accepted anywhere.
• Move privileged actions behind step-up approval or time-bound access windows.
• Audit prompts, repos, tickets, and logs for accidental secret disclosure before AI tools ingest them.

These controls tend to break down when legacy systems still depend on static credentials that cannot be scoped, rotated, or centrally monitored.

Common Variations and Edge Cases

Tighter identity controls often increase operational overhead, requiring organisations to balance faster AI adoption against friction for developers, administrators, and automation owners. That tradeoff is real, especially in environments with older service accounts, vendor integrations, or hard-coded credentials that cannot be replaced overnight. Best practice is evolving, but there is no universal standard for when every secret must become ephemeral; the practical goal is to remove the highest-risk credentials first and then reduce standing access over time.

Some edge cases need extra care. Shared break-glass accounts may still exist for resilience, but they should be monitored, vaulted, and used only under documented emergency conditions. Third-party tools that cannot support modern MFA or scoped tokens should be isolated until they can be replaced or wrapped with compensating controls. The 52 NHI Breaches Analysis and DeepSeek breach illustrate how quickly secrets exposure can cascade when visibility is weak. Organisations should treat any AI pilot as a forcing function to retire weak password practices before they become embedded in daily workflows.

Related resources from NHI Mgmt Group

• How should organisations enforce identity governance across multi-cloud and AI-driven workflows?
• Why do privileged identity controls become more important as organisations add cloud, SaaS, and AI workloads?
• Why do identity governance and privileged access controls matter when organisations add AI-driven security workflows?
• How should organisations handle password reset workflows in identity systems with legacy access management dependencies?