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AI & LLM Security Assessment
Security assessment of generative AI systems using threat-driven testing for prompt injection, excessive agency, sensitive data exposure, unsafe tool use, and RAG trust boundaries.
Coverage
What we test
- Prompt injection
- Indirect injection
- Agent/tool abuse
- RAG poisoning
- Data leakage
- Excessive agency
- Output handling
- Model denial of service
Outcomes
What you gain
- Understand AI-specific attack paths
- Validate guardrails
- Reduce unsafe agent actions
- Protect sensitive information
Deliverables
What you receive
- AI threat model
- Adversarial test results
- Attack scenarios
- Guardrail gaps
- Mitigation plan
- Retest evidence
Engagement
Designed around your scope
The final test plan, timing, access model, constraints, and retesting approach are agreed before execution.
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