ATF
Govern agent trust, autonomy and runtime control.
Gamut applies ATF concepts to help teams record agent identity, monitor behavior, control data access, segment tools and environments, and prepare incident response evidence before agents create operational risk.
Discuss agentic assuranceATF dimensions in Gamut
Identity
Define the agent, its owner, purpose, lifecycle state, authorization and accountable decision makers.
Behavioral monitoring
Track what the agent is doing, which actions require approval, and how exceptions are escalated.
Data governance
Record data classes, boundaries, sensitive access, retrieval context and evidence of permitted use.
Segmentation
Limit where agents can go, which tools they can call, and which systems are reachable.
Incident response
Prepare stop, rollback, escalation, investigation and remediation evidence for agentic failures.
Autonomy levels
Use autonomy levels and promotion gates to decide when stronger controls, tests and approvals are needed.
How Gamut operationalizes ATF
Agent register
Maintain each agent's owner, purpose, autonomy, data access, tools, approvals, tests and incidents.
Gateway enforcement
Use ATF-aware records to support runtime decisions, tool permissions, data boundaries and approval gates.
Claw execution evidence
Connect bounded task execution, journal records and runtime outputs back to the assurance record.
Reviewable outputs
Produce evidence packs for audit, security, legal, buyers, boards and internal AI governance teams.
Acknowledgement
Gamut's ATF implementation acknowledges the Agentic Trust Framework as an open specification published through the Cloud Security Alliance and associated with Josh Woodruff / MassiveScale.AI. Gamut uses ATF concepts for product workflow, assessment and runtime governance support; this page is not an endorsement by the framework authors or Cloud Security Alliance.