Put federal agent actions on the record.
Start with the agency action that creates review risk: a case update, benefits workflow, procurement record, CUI export, or outbound message. Veto checks that action before execution and records the policy, verdict, actor, reviewer, and timestamp for FedRAMP evidence work.
Update a case
Approve a benefits workflow
Change a procurement record
Export CUI
Send an agency message
Last updated: May 23, 2026
Start with the agency action, not the whole AI program.
Federal buyers do not need another AI governance promise. They need to know which action can run, which action waits, which action is blocked, and what record remains for assessment and continuous monitoring.
Tool path
Name the exact federal workflow step the agent can trigger before it reaches the system of record.
Policy decision
Return allow, review, or deny from policy before the governed tool call executes.
Human review
Route actions that need judgment to the agency or contractor reviewer before impact.
Evidence export
Keep actor, tenant, tool, policy, verdict, reviewer, and timestamp in one decision record.
What is FedRAMP?
The Federal Risk and Authorization Management Program (FedRAMP) is the U.S. federal program for standardized security assessment and review of cloud products and services. Established by OMB Memorandum M-11-29 in December 2011 and made permanent by the FedRAMP Authorization Act (Public Law 117-263) on December 23, 2022, FedRAMP defines baselines and certification paths that agencies can use when making authorization decisions. FedRAMP does not grant an agency Authority to Operate; agencies grant ATOs for their own systems and use FedRAMP package data as evidence.
Why it applies to AI agents
Cloud services used by federal agencies generally need FedRAMP-recognized assessment evidence or an agency authorization path. An AI agent inside that service inherits applicable controls from the chosen baseline or certification class. Moderate often applies to workloads handling CUI; High applies when loss of confidentiality, integrity, or availability would have severe or catastrophic impact.
The hard part is ongoing evidence. FedRAMP continuous monitoring needs records of control effectiveness, not a one-time slide. For agents that make many decisions per day, reviewers need structured decision records they can sample. Veto provides those records on the governed tool path so teams can map them into OSCAL-oriented evidence work.
Control mapping: FedRAMP baselines to Veto features
The table maps controls in FedRAMP Moderate and High baselines that govern AI agent activity. Moderate-only controls and Moderate+High shared controls are noted in the Baseline column.
| Control | Baseline | Veto feature |
|---|---|---|
| AC-2 | M, H | Per-agent API key issuance, rotation, and revocation with decision records |
| AC-3 | M, H | Deny-by-default authorization at each governed tool call; allow only what policy explicitly permits |
| AC-4 | M, H | Information flow enforcement: per-tool argument validation limits cross-boundary data movement |
| AC-6(9) | M, H | Privileged function logging with sensitive-tool flags in policy YAML |
| AU-2 | M, H | Authorization decisions logged continuously; categories configurable per tool |
| AU-3(1) | M, H | Additional audit information: arguments, policy version, reviewer comments |
| AU-6(1) | M, H | Automated process integration: webhook export to SIEM for AU-6 audit review automation |
| CA-7 | M, H | Continuous monitoring evidence: monthly decision record exports, decision outcome trend reports |
| CM-3 | M, H | Configuration change control: policy diffs trigger reviewer approval and CI validation |
| CM-3(2) | H | Testing changes: offline policy tests before promotion to production where configured |
| IR-4 | M, H | Incident handling: kill-switch policy commit; forensic timeline from decision records |
| SI-4(2) | M, H | System monitoring with automated tools: alerts on policy violations and unusual patterns |
Evidence Veto provides
A 3PAO performing a FedRAMP assessment needs evidence packages that map to each control description in the System Security Plan. Continuous monitoring requires that those evidence packages stay current, not annual-only.
SSP narratives
Policy-as-code YAML provides structured source material for SSP control descriptions on AC, AU, and CM families. Inheritance from CSP-provided controls can be documented in policy comments.
Continuous monitoring artifacts
Monthly decision record exports, decision outcome trend reports, and policy change history can feed the CA-7 continuous monitoring evidence package.
POA&M support
Decision record anomalies and approval rejections supply structured evidence for Plan of Action and Milestones remediation tracking.
OSCAL alignment
Structured JSON exports can be mapped to OSCAL component definitions, control implementations, and assessment results as FedRAMP expands machine-readable certification and authorization packages.
Implementation timeline
Frequently asked questions
What is FedRAMP and how does it cover AI agents?
Which FedRAMP baseline applies to AI agent systems?
What does FedRAMP continuous monitoring require for AI agents?
How does FedRAMP 20x affect AI deployments?
Related evidence resources
Continuous monitoring needs continuous evidence. Decision records deliver it.