AI Security
Security review for AI features before they reach real users.
We assess LLM-powered workflows, AI-generated code paths, prompt handling, sensitive data exposure, and production guardrails using practical OWASP LLM Top 10 testing.
What We Review
AI security needs product context, application security thinking, and careful testing of real user workflows.
Prompt Injection
- Instruction override tests
- Jailbreak attempts
- Tool-use abuse paths
- Prompt boundary checks
Data Protection
- Sensitive data exposure
- Context leakage
- PII handling
- Tenant isolation review
Application Security
- Auth and permissions
- API abuse cases
- Logging risks
- Dependency review
AI Guardrails
- Output validation
- Human approval flows
- Rate limits
- Fallback behavior
Threat Modeling
- Misuse scenarios
- Trust boundaries
- Risk scoring
- Control recommendations
Remediation
- Prioritized findings
- Fix roadmap
- Retest support
- Production readiness notes
Need Confidence in an AI Feature?
Schedule an appointment. We'll review the workflow, identify risks, and suggest practical controls.
Schedule Appointment › No commitment required