AI Agent Compliance Reporting: What Auditors Need
Compliance reporting for AI agents requires demonstrable evidence that every agent action was evaluated against a defined policy, that decisions were logged immutably, and that denied actions were actually blocked — not just flagged. SafeClaw by Authensor produces hash-chained audit logs that satisfy these requirements out of the box, giving auditors a verifiable record of every allow and deny decision with timestamps, action details, matched policy rules, and cryptographic integrity proof.
Quick Start
npx @authensor/safeclaw
What Auditors Look For
External auditors and internal compliance teams need answers to five questions:
- What can the agent do? — The active policy file documents allowed actions
- What did the agent actually do? — Audit logs record every action request and outcome
- Were unauthorized actions blocked? — Deny entries prove enforcement, not just monitoring
- Can the logs be tampered with? — Hash-chained entries make tampering detectable
- How long are logs retained? — Configurable retention satisfies regulatory timelines
Generating Compliance Reports
Export audit logs in structured formats:
# JSON export for automated processing
npx @authensor/safeclaw audit export --format json --since "30 days" > report.json
CSV export for spreadsheet review
npx @authensor/safeclaw audit export --format csv --since "30 days" > report.csv
Filtered export for specific action types
npx @authensor/safeclaw audit export --filter action=shell.execute --format json
Each log entry contains:
{
"timestamp": "2026-02-13T14:32:01.447Z",
"action": "file.write",
"target": "/app/src/config.ts",
"effect": "allow",
"matchedRule": "rule-003",
"policy": "team-backend.yaml",
"provider": "claude",
"hash": "a1b2c3d4...",
"previousHash": "e5f6g7h8...",
"sessionId": "sess_abc123"
}
Mapping to Compliance Frameworks
SOC 2
SafeClaw audit logs map directly to SOC 2 Trust Service Criteria:
| SOC 2 Criterion | SafeClaw Evidence |
|---|---|
| CC6.1 — Logical access controls | Policy files defining permitted actions |
| CC6.3 — Role-based access | Per-role policy configurations |
| CC7.2 — System monitoring | Real-time audit log of all decisions |
| CC8.1 — Change management | Version-controlled policy files in Git |
GDPR
For GDPR Article 30 compliance, filter logs to data-processing actions:
npx @authensor/safeclaw audit export \
--filter action=file.read,file.write \
--filter path="/user-data/" \
--format json
Internal Audit
Generate a summary report showing policy effectiveness:
npx @authensor/safeclaw audit summary --since "quarter"
Output includes: total actions evaluated, allow/deny ratio, most-triggered rules, and policy coverage metrics.
Policy Documentation as Evidence
Auditors need the policy itself as an artifact. SafeClaw policies are plain YAML committed to version control, which means:
- Version history shows when rules were added, changed, or removed
- Code review on policy changes demonstrates approval workflows
- Branch protection prevents unauthorized policy modifications
version: "1.0"
description: "Production policy — auditor-reviewed Q1 2026"
lastReviewed: "2026-01-15"
reviewedBy: "security-team"
rules:
- action: file.read
path: "src/**"
effect: allow
reason: "Read source for code generation"
- action: "*"
effect: deny
reason: "Deny by default — baseline enforcement"
Hash Chain Verification
Auditors can independently verify log integrity:
npx @authensor/safeclaw audit verify --since "90 days"
This recomputes the SHA-256 hash chain and reports any breaks, confirming no entries were inserted, deleted, or modified after the fact.
Why SafeClaw
- 446 tests ensure audit log correctness and hash chain integrity
- Deny-by-default gives auditors confidence that unapproved actions are blocked
- Sub-millisecond evaluation means compliance enforcement does not degrade performance
- Hash-chained audit trail satisfies tamper-evidence requirements across frameworks
- Works with Claude AND OpenAI — unified reporting across LLM providers
- MIT licensed — no vendor-specific compliance entanglements
See Also
- SOC 2 Compliance for AI Agent Deployments
- GDPR Compliance When Using AI Agents
- Audit Trail Requirements for AI Agents in Regulated Industries
- Hash-Chained Audit Logs for AI Agents
Try SafeClaw
Action-level gating for AI agents. Set it up in your browser in 60 seconds.
$ npx @authensor/safeclaw