AI & Application Security
Secure LLM and application architectures end to end.
A complementary practice covering LLM application architecture, prompt-injection and sensitive-data risks, RAG security, agent permissions, tool-execution risks, API security, and AI supply-chain exposure.
What you receive
- LLM application architecture review
- Prompt-injection and sensitive-data risk assessment
- RAG and retrieval security review
- Agent permission and tool-execution assessment
- API security review
- AI supply-chain exposure review
- Secure deployment guidance
How we deliver
- 1Map the LLM and application architecture
- 2Assess injection, data, and permission risks
- 3Review RAG, agents, and tool execution
- 4Evaluate API and supply-chain exposure
- 5Recommend secure deployment practices