05/06/2026
AI agents are becoming the most overprivileged “employees” in the company.
97% of enterprise leaders expect a major AI agent security incident within 12 months — yet only 6% of security budgets are allocated to this risk.
We’re onboarding agents faster than any human, then issuing them way more access than any human would ever get on day one: service accounts, API tokens, and application identities that connect to tools, data, endpoints, and cloud resources. They execute with elevated permissions.
And like any overprivileged insider, the risk isn’t really intent. It’s blast radius.
When an agent is compromised, it doesn’t need to “look suspicious.” It executes legitimate actions with legitimate credentials at machine speed - far faster than any human-driven incident response.
That’s why 87% of enterprise leaders agree that agents operating with valid credentials pose a greater insider threat risk than human employees: the activity looks like normal system behaviour, and traditional anomaly detection struggles to distinguish “compromised” from “functioning.”
So it’s time to take back control:
- Draw boundaries (what it can access, when, and why)
- Reduce privileges (least privilege, short-lived tokens, scoped roles)
- Add a hardware-rooted security layer (visibility and guardrails below the OS - outside the agent’s software attack surface)
- Monitor ex*****on, not just prompts
That’s why X-PHY starts at the hardware layer. Firmware-level visibility catches anomalies below the software stack - where agents connect to data, models, and infrastructure, and where “agent activity” becomes real operations.