Automated AI Security Audit
Automate security audits for AI inputs. Detect prompt injections, bias, and vulnerabilities, then generate a comprehensive compliance report sent via email.
Security AuditAI ComplianceBias DetectionAutomated Reporting
AI Security Audit and Compliance Workflow Documentation
This automated workflow performs comprehensive AI security audits, combining multiple evaluation dimensions including OWASP compliance, injection detection, bias assessment, and CVE monitoring.
Workflow Nodes
| Node | Action | Description |
|---|---|---|
| 1 | Trigger | Initiates the workflow run. |
| 2 | Process Security Resources | Scans sample inputs with regex for SQL injection, command injection, code execution, jailbreaks, and prompt injection. |
| 3 | AI Bias Evaluator | Evaluates each resource in parallel using an AI agent for bias, harmful intent, and safety risks, returning structured JSON. |
| 4 | Generate Security Report | Aggregates all evaluations into one consolidated report with metrics. |
| 5 | Format Report Email | Uses an AI agent to write a professional email with an executive summary, per-resource findings, and recommended actions. |
| 6 | Send Security Report | Sends the finalized report via Gmail with a dated subject line. |
Real-World Data Sources
In a production environment, you can replace the initial code node with real connectors pulling from various sources:
- SIEM and Log aggregators (Splunk, Elastic SIEM, Microsoft Sentinel) for recent suspicious events.
- WAF logs (Cloudflare, AWS WAF) for flagged requests hitting your APIs.
- API Gateway logs for raw user payloads.
- Database audit logs for recent SQL queries.
- Email security gateways for flagged messages.
- Code repository webhooks (GitHub, GitLab) for secret scanning.
- Customer support tickets (Zendesk) for potentially malicious user-submitted content.
- Meeting transcripts for accidental sensitive data disclosure.
- Endpoint Detection and Response alerts (CrowdStrike, SentinelOne).
- Cloud security alerts (AWS GuardDuty, Azure Defender).
Evaluation Dimensions
- OWASP ASI05 Compliance: Verifies server protection, confirms runtime isolation, validates tool restrictions, ensures credential best practices, and protects against memory manipulation.
- Prompt Injection Detection: Identifies direct injections (instruction overrides, jailbreaks), indirect injections (XSS, template injection), encoding evasion (URL or hex encoding), and contextual manipulation.
- Bias Evaluation: Scans for demographic, occupational, cultural, and socioeconomic bias.
- CVE Monitoring: Tracks AI-specific vulnerabilities, scores severity, identifies affected systems, and classifies attack vectors.
Risk Assessment Methodology
| Risk Level | Criteria | Response |
|---|---|---|
| CRITICAL | OWASP score < 50 OR Critical injection OR Bias > 80% | Immediate remediation required |
| HIGH | OWASP score 50 to 69 OR High injection OR Bias 60 to 79% | Priority attention needed |
| MEDIUM | OWASP score 70 to 89 OR Medium injection OR Bias 40 to 59% | Monitor and plan remediation |
| LOW | OWASP score >= 90 OR Low injection OR Bias < 40% | Continue monitoring |
Security Features
- Zero-Trust Evaluation: Validates and scores all inputs independently.
- Automated Compliance: Continually validates against OWASP standards.
- Multi-Vector Analysis: Combines injection, bias, and CVE detection.
- Historical Trending: Enables trend analysis through historical metrics.
- Automated Remediation: Creates follow-up tasks via issue tracking integrations.
- Report Retention: Cleans up automatically after the retention period.
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