Engineering situation

Make an intelligent or agentic system reliable and secure

Define what it can do, test it, observe it, audit it and put its actions under control.

What we examine

Agentic Assurance is the discipline of establishing that an agentic system is sufficiently reliable, secure, governed and controlled to operate within a defined scope, and of detecting, containing, explaining and correcting deviations during operation.

Possible interventions

Discover our approach

We apply least privilege, agent identity, tool restrictions, secret management, segmentation, input/output validation, policy enforcement, human approvals where needed, logging, protection against prompt injection and tool misuse, and supply chain controls.
We distinguish deterministic tests from probabilistic evals: scenarios, regression suites, response quality, trajectories, tool calls, policy tests, permissions, adversarial tests, costs, latency, robustness and replay.

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