Forensic Evidence for Financial AI Agents
SEC, FINRA, MiFID II, EU AI Act — regulators arrived with teeth. AI Identity gives every agent decision a cryptographic, tamper-evident audit trail that your examiner can verify offline with an open-source CLI. No vendor trust required.
The Challenge
In finance, what you can't prove didn't happen. Regulators demand receipts.
Regulatory Mandates
SEC, FINRA, MiFID II, and the EU AI Act require documented oversight of automated decision-making. Manual processes can't keep up.
Tamper Risk
Standard logging can be modified after the fact. Regulators need proof that records haven't been altered — not just a promise.
Compliance Gaps
Your AI agents make thousands of decisions daily. You need to prove each one followed policy — retroactively, on demand, under audit.
How AI Identity Solves This
Cryptographic proof of every agent action, built for regulated industries.
HMAC-Chained Audit Logs
Every agent action is cryptographically chained. Any tampering breaks the chain and is immediately detectable — provable in court.
Automated Compliance Assessments
Run your agent fleet against NIST AI RMF, SOC 2, EU AI Act, and ISO 42001 frameworks. Get a score and remediation steps.
Forensic Export
One-click evidence packages for regulators. Timeline reconstruction, policy verification, and integrity proofs — audit-ready.
Real-Time Monitoring
Flag policy violations as they happen, not weeks later during an audit. Fail-closed enforcement means violations are blocked, not just logged.
See It in Action
Verify audit integrity and pull compliance data in a few lines.
from ai_identity import AIIdentityClient
async with AIIdentityClient(api_key="aid_sk_...") as client:
# Verify the audit chain hasn't been tampered with
verification = await client.audit.verify_chain(
agent_id="agent_8f3a..."
)
print(f"Chain valid: {verification.valid}")
print(f"Records checked: {verification.entries_verified}")
# Pull audit stats for compliance reporting
stats = await client.audit.stats(agent_id="agent_8f3a...")
print(f"Total events: {stats.total_events}")
print(f"Denied requests: {stats.denied_count}")
# Pull full audit logs for regulatory export
logs = await client.audit.list(
agent_id="agent_8f3a...",
limit=1000,
)
print(f"Total auditable actions: {logs.total}")Ready for examiner-proof AI agents?
We're onboarding design partners in regulated finance. Get hands-on with the forensic audit chain, shape the v1.0 spec, lock in preferred pricing.