08/26/2026
Your company's AI agent can send an email, approve a payment, or delete a file. When something goes wrong, the first question is not what happened. It's who did it.
AI agents are now approving invoices, drafting contracts, responding to customers, and touching production systems, often under a human employee's login credentials because that is the fastest way to deploy them. That shortcut creates a problem few organizations have budgeted for: standard access logs cannot always tell you whether a person or an autonomous agent took a given action.
This is not a hypothetical. Security researchers tracking agentic AI deployments have flagged identity fluidity as one of the defining risks of 2026: agents operating under shared or borrowed credentials, actions that hide behind a human's name in the audit trail, and a single compromised agent capable of cascading through every system it touches. A breach investigation that used to start with "who logged in" now has to start with "was that login even a person."
For businesses, investigators, and corporate legal teams, this changes what incident response actually requires. Reconstructing what happened means examining agent logs, API call chains, and system-level activity alongside human access records, not instead of them, in a way that will hold up if the incident ends up in litigation or in front of a regulator.
If your organization is deploying AI agents, the time to think about forensic readiness is before an incident, not after. We can help you understand what you would need to prove, and whether you could prove it today.