See how P0 governs what AI agents, humans and workloads can do with one policy layer and just-in-time access to sensitive systems.
AI agents
Learn how P0 preserves originator and agent identity, authorizes tool calls at runtime and limits access to exactly what each task requires.
See how standing privilege, an unmanaged credential and missing runtime controls turn an agent action into a production outage in nine seconds.
8 min
Agent provenance is a useful stress test for whether your agent security stack can actually deliver accountability. It requires more than discovery or observability. You need an immutable chain of events, blended human-agent identity, runtime policy enforcement, and enough context to determine whether an agent’s actions stayed within the originator’s intent.
4 mins
Developers must restrict agent access, mandate human code reviews, and sanitize inputs to mitigate unauthorized repo takeovers.
In this fly-through, you'll see how agents start with zero standing privilege and operate under runtime guardrails enforced by the P0 Agent Controller, enabling secure just-in-time access.
4 mins
If you are running agents in evaluation, production, or anywhere in between, do not only ask whether the model will stay inside its sandbox. Ask whether your identity and authorization controls can stop the model after it finds a way out.
3 mins
Logging can tell you something happened. But none of that alone determines whether the action should be allowed, given the full chain of authority behind it.
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