AI Audit Trail
Centralized logging of all AI operations. Track who used which model, what prompt was sent, what code was generated, was it reviewed, and was it deployed.
When a security incident or compliance audit asks 'who used AI to generate this code and was it reviewed?', most companies can't answer. AI Audit Trail creates a centralized, tamper-resistant log of all AI interactions: every LLM call, every agent action, every code generation event. Connects the chain from prompt to generated output to code review to deployment. Configurable retention from 30 days to 7 years.
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"Senior engineers who actually deliver what they promise. Rare."
Thomas K., IT Manager · Austria
What You Get
- Centralized log of all AI interactions (LLM calls, agent actions)
- Event chain linking: prompt → generated code → review → deployment
- Tamper-resistant audit log storage
- Compliance-ready reports for auditors and regulators
- Dashboard for management, security, and compliance teams
- Risk reduction metrics and trend analysis
- Configurable retention policies (30 days to 7 years)
Who Needs This
- Companies required to demonstrate AI usage controls for SOC 2 or ISO 27001 audits
- Organizations subject to EU AI Act transparency requirements
- Security teams that need to investigate incidents involving AI-generated code
- Compliance officers who need documented evidence of AI oversight processes
- Companies where multiple teams use AI tools with no central visibility
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Not Sure What Else to Fix?
Our AI Code Security Audit ($149) gives you a complete picture of vulnerabilities in your AI-generated code — the fastest way to understand your full risk surface.
Get AI Code Audit — $149Frequently Asked Questions
Which AI tools and platforms can be tracked?
ChatGPT, Claude, GitHub Copilot, Gemini, Cursor, Windsurf, custom LLM APIs, LangChain/CrewAI agents, and n8n AI workflows. Tracking is implemented via API logging, IDE plugin, or network-level proxy.
Is the audit log tamper-resistant?
Yes. Logs are stored with cryptographic integrity verification. Any modification is detectable. For highest assurance, logs can be written to immutable cloud storage (AWS S3 Object Lock, Azure Immutable Blob).
Can this satisfy GDPR requirements for AI transparency?
The audit trail provides the evidence base for GDPR Article 22 compliance (automated decision-making transparency) and EU AI Act transparency requirements.
How much storage does the audit trail require?
Approximately 1–5 GB per month for a team of 50 developers with active AI usage. Compression and retention policies keep storage costs manageable.
What Our Clients Say
"Senior engineers who actually deliver what they promise. Fixed price, fixed timeline, thorough documentation. Rare combination."
"Worked with 4 agencies before finding Optimum Web. First team that delivered exactly what the scope said, on time."
"The 14-day warranty is real. Had a small follow-up question and it was handled same day, no extra charge."
Ready to Secure Your AI-Powered Development?
$590 fixed price · 7 business days · 14-day warranty