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25/06/2026 10:29 pm
TL;DR: Privileged access is becoming a governance problem as AI enters operational workflows, according to Imprivata, but the source page provides only a high-level event and product context rather than technical depth. The practical issue is that privileged access controls now have to account for machine identities, delegation chains, and human access in the same programme.
NHIMG editorial — here’s why we think this discussion matters
Questions worth separating out
Q: How should teams govern privileged access when AI is part of the workflow?
A: Treat privileged access as a cross-identity control problem.
Q: Why do AI-assisted access workflows make accountability harder?
A: They can separate request, approval, and execution across different actors.
Practitioner guidance
- Inventory all privileged paths that intersect AI workflows Identify where AI-assisted requests, automations, or delegated actions can reach elevated permissions, then map the human owner, machine identity, and approval point for each path.
- Separate initiation from execution in privileged workflows Record which identity asked for access and which identity actually performed the privileged action, especially where service accounts or tokens execute behind the scenes.
- Review standing privilege across human and machine identities Find accounts, tokens, and certificates that can still perform high-risk actions without fresh justification, then prioritise the broadest entitlements first.
What to expect at the briefing
Imprivata's full article covers the operational detail this post intentionally leaves for the source:
- The specific privileged access themes highlighted in the age of AI, including how the vendor frames the changing access landscape.
- The product and platform context behind Imprivata Connect and its adjacent privileged access messaging.
- The source article's own framing of identity and access challenges, which may help practitioners compare strategic messaging with their internal priorities.
- Any event or product positioning detail that is useful after the analysis stage if you are evaluating vendor narratives.
👉 Read Imprivata's perspective on privileged access in the age of AI →
Privileged access in the age of AI: what changes for teams?
Explore further
25/06/2026 11:02 pm
Privileged access is becoming a multi-identity governance problem, not a single-user control problem. The source topic points to a world where elevated access is no longer confined to one person at one console. Human operators, service identities, and AI-assisted workflows can all participate in the same privileged action chain, which makes accountability a governance design issue rather than a login issue. Practitioners should treat privileged access as a cross-actor control plane, not a narrow PAM feature set.
A few things that frame the scale:
- The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, which helps explain why access hygiene breaks down even when teams believe controls are mature.
A question worth separating out:
Q: How do organisations know whether privileged access controls are keeping up with AI-driven change?
A: Look for evidence that privileged actions are tied to named owners, that machine identities are included in access reviews, and that revocation happens when the business need ends. If any of those are missing, the programme is preserving access more than governing it.
👉 Read our full editorial: The next generation of privileged access in the age of AI
