Notifications
Clear all
11/06/2026 1:46 am
Shadow AI is not a software inventory problem, it is an identity governance problem. Once employees connect AI tools to corporate systems, the security question shifts to what identity was created, what data it can reach, and who can see that connection. That is why policy-only programmes fail: they describe intent, but they do not control the access path. Practitioners should treat undocumented AI use as unmanaged identity exposure.
A few things that frame the scale:
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security, according to The 2026 Infrastructure Identity Survey.
- 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, which shows how often AI governance is still built on brittle identity assumptions.
A question worth separating out:
Q: When should teams use just enough access for AI workflows?
A: Use just enough access whenever an AI tool needs to interact with live business systems, especially if the task is narrow or time-bound. Broad roles are usually easier to grant but harder to govern. Task-scoped permissions reduce the chance that a tool can move beyond its original purpose or retain access after the job is complete.
👉 Read our full editorial: Shadow AI and identity debt are reshaping AI governance
12/06/2026 3:20 am
Shadow AI is not a software inventory problem, it is an identity governance problem. Once employees connect AI tools to corporate systems, the security question shifts to what identity was created, what data it can reach, and who can see that connection. That is why policy-only programmes fail: they describe intent, but they do not control the access path. Practitioners should treat undocumented AI use as unmanaged identity exposure.
A few things that frame the scale:
- Only 44% of organisations have implemented any policies to manage their AI agents, despite 92% agreeing that governing AI agents is critical to enterprise security, according to The 2026 Infrastructure Identity Survey.
- 67% of organisations still rely heavily on static credentials despite the risks they pose to agentic AI deployments, which shows how often AI governance is still built on brittle identity assumptions.
A question worth separating out:
Q: When should teams use just enough access for AI workflows?
A: Use just enough access whenever an AI tool needs to interact with live business systems, especially if the task is narrow or time-bound. Broad roles are usually easier to grant but harder to govern. Task-scoped permissions reduce the chance that a tool can move beyond its original purpose or retain access after the job is complete.
👉 Read our full editorial: Shadow AI and identity debt are reshaping AI governance
