Provenant is the AI control plane built on guarantees.
You can’t list every way it goes wrong.
Catches the obvious, misses the novel.
The list never ends. AI phrases each call differently.
Too narrow for utility, or too open for safety.
Apply it to any MCP server or in the agent harness. It shapes what the model sees at each step.
The tools and data each agent is offered follow its context. Earlier results decide what’s next.
Isolate context for any step in one line of policy, so each step sees only what it needs.
Read everything an agent can reach before you ship it. Prove what it can never do.
Every decision signed and tied to the policy version that made it.
Offer your tools over MCP with limits your customers can check.
Put agents on real systems without handing them the keys.
180 tasks on a public benchmark, each with a hijacking attempt hidden in the content the agent reads.
more tasks completed than the same model on its own
lower cost per completed task
actions taken that the policy ruled out
A small model under Provenant finished twice as many tasks as GPT-5.1 on its own, at one-ninth the cost per task.
Every published detection-based defense finished fewer tasks than no defense at all.
Pick one workflow that matters. We’ll write the policy with you and point a real agent at it.