2026-01-21 · Authensor

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:

  1. What can the agent do? — The active policy file documents allowed actions
  2. What did the agent actually do? — Audit logs record every action request and outcome
  3. Were unauthorized actions blocked? — Deny entries prove enforcement, not just monitoring
  4. Can the logs be tampered with? — Hash-chained entries make tampering detectable
  5. 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: "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

See Also

Try SafeClaw

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$ npx @authensor/safeclaw