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Make AI trustworthy with verifiable controls and auditable outcomes. Policy‑backed guardrails and accountable decisions let you scale with confidence.
Our approach: Harden prompts and retrieval, scope agent permissions precisely, and instrument plan‑ and step‑level decisions for accountability. Supply‑chain attestations and runtime signals drive evaluations and kill‑switches so features scale with confidence and clear evidence.
Profile behavior and apply plan‑aware policies—approve, block, or require review—backed by granular authorization.
Secure retrieval pipelines with source trust, PII redaction, and access controls to prevent data leakage.
Enforce least‑privilege tool access for agents with policy decisions at each call and full audit trails.
Detect and block risky steps with behavior profiling, policy checks, and human‑in‑the‑loop approvals.
Authorize agents and LLMs at tool, record, and field level using roles, attributes, and relationships.
Provides immutable decision logs, plan traces, and compliance evidence—explaining what the agent did, on whose behalf, and why.