AI Security Architecture Review
A specialized security review for systems integrating AI models, LLMs and AI APIs. The focus is on identifying AI-specific attack surfaces and architectural weaknesses in AI-powered SaaS platforms, RAG architectures and agent-based systems.
Why It Matters
Why AI architecture security matters
AI systems introduce new trust boundaries, prompt-based attack paths and data exposure risks that are not covered by traditional application reviews. Reviewing these risks at the architecture level helps reduce abuse scenarios before AI features reach production.
When To Engage
When to engage this service
- Before launching AI features into production
- When integrating LLM APIs or building RAG workflows
- When sensitive data may enter AI prompts or context
- When building AI copilots, assistants or agent-based systems
- When teams need an AI threat model
Typical duration: 5-8 days depending on system complexity.
Scope
- AI architecture analysis
- Model integration review
- Prompt injection risk analysis
- Data leakage scenarios
- Model access control
- API security review
- AI abuse scenarios
Deliverables
- AI threat model
- Attack scenario analysis
- Security recommendations
- Architectural improvements for AI systems
Example Engagement
What a typical engagement looks like
A product team was preparing to launch AI-powered features that processed customer data through LLM APIs. They needed to understand the new attack surface before going to production.
What we reviewed
- Prompt injection and output manipulation risks
- Model access control and API key management
- Sensitive data flows through AI pipelines
- RAG architecture and context injection security
Result
The review produced an AI-specific threat model covering prompt injection, data leakage and model abuse scenarios. Architectural changes were recommended to isolate sensitive data from AI context and restrict model access, reducing the attack surface before launch.
Know where your security architecture stands before it becomes a blocker
A 30-minute call is enough to understand your system, identify the highest-risk areas, and decide whether a focused review would help.
Book a call