AI & LLM Security
We assess AI applications where model behavior, tools and data boundaries create new authorization and abuse scenarios.
Discuss your security challengeChallenges we address
- 01
Prompt injection reaching privileged tools
- 02
Sensitive data crossing model boundaries
- 03
Agents acting beyond intended authorization
- 04
RAG pipelines exposing restricted content
Capabilities
- 01
AI application threat modeling
- 02
LLM application security assessment
- 03
Prompt injection risk assessment
- 04
Tool and function call security
- 05
Agent authorization analysis
- 06
RAG architecture and data boundary review
- 07
AI red team assessments
- 08
Secure AI development guidance
Expected outcomes
- Clear data and authorization boundaries
- Documented AI abuse scenarios
- Guardrails aligned with real risk
- Safer AI feature delivery
Build security into your product.
Tell us about your architecture, product or engineering challenge.