AI Security Audit
Protect LLM applications, APIs and AI infrastructure from attack and misuse.
- LLM Security
- Prompt Injection
- Jailbreak Testing
- AI API Security
- RAG Security
- Data Leakage
- AI Infrastructure Security
AI Audit Platform
Audit your AI before your customers, regulators or attackers do
One platform to audit every part of your AI: security, agents, behaviour, governance, models, data and operations. 7 audit domains and 44 focus areas, each with clear Yes/No checks, evidence requests and an AI-analysed report.
7audit domains
44focus areas
220ready-made checks
Audit domains
Everything that can go wrong with AI, covered
Run one domain, or combine them into a full AI audit. Every focus area has its own checks and evidence requests you can use as they are or adapt.
AI Agent Audit
Keep autonomous agents within their permissions, tools and human control.
- Agent Security
- Agent Permissions
- Tool-Use Audit
- Agent Misconduct
- Agent Memory
- Multi-Agent Security
- Human Oversight
AI Safety & Behavior Audit
Measure hallucination, bias, toxicity and harmful behaviour before your users find it.
View the AI Safety & Behavior AuditAI Governance & Compliance
Show who is accountable for AI, how risk is managed, and how you meet standards and regulation.
- AI Governance
- AI Risk Management
- ISO 42001 Assessment
- NIST AI RMF Assessment
- Regulatory Compliance
- AI Documentation
AI Model Audit
Verify model performance, training data, robustness and explainability with evidence.
View the AI Model AuditAI Data & Privacy Audit
Control personal and confidential data across prompts, training, memory and logs.
View the AI Data & Privacy AuditAI Operations Audit
Run AI in production with controlled deployment, monitoring, change and incident response.
View the AI Operations AuditHow an AI audit works
Structured checks, real evidence, clear findings
- 01
Choose the scope
Pick the AI systems and audit domains, from a single prompt-injection review to a full AI audit.
- 02
Assign the owners
Send secure links to engineering, security, data and compliance owners, or the AI vendor you're assessing.
- 03
Collect answers & evidence
Each check is answered Yes or No, with a reason and evidence: test results, policies, logs and configurations.
- 04
Get the AI risk report
Scores per domain, prioritised findings, framework mapping and recommended actions, ready for your board or customers.
Frameworks
Mapped to the frameworks your stakeholders ask about
Checks reference widely used AI frameworks and regulations, so you can show how your AI practices line up with them.
Mappings are indicative and help you organise evidence. They are not certifications or legal advice.
OWASP Top 10 for LLM Applications
NIST AI RMF
ISO/IEC 42001
EU AI Act
MITRE ATLAS
ISO/IEC 23894
ISO/IEC 27001
GDPR
Before launch, and on a schedule
Check AI products and internal assistants before release, then re-audit after major changes. Track scores over time and show progress to leadership.
Before you trust their AI with your data
Send AI vendors a secure link to complete the relevant domains with evidence. Compare vendors on the same checks before you sign.
See an AI audit on your own systems
Tell us which AI systems you run. We'll walk you through the domains that matter most.