The Problem
AI is shipping faster than security can keep up. Teams are deploying LLMs, building RAG pipelines, and integrating third-party AI APIs without a clear picture of the risks: data leakage, prompt injection, model poisoning, compliance gaps, and uncontrolled access to sensitive information. Most security consultants do not understand AI systems. Most AI engineers do not think about security. You need someone who operates at the intersection.
What You Get
- A full AI security audit: data flows, model access controls, API exposure, and prompt/response handling.
- RAG pipeline privacy review: what data goes in, what comes out, and who can access what.
- LLM risk assessment: prompt injection, jailbreaking, data exfiltration, hallucination risks, and output filtering.
- AI governance framework: policies, access controls, audit trails, and incident response for AI-specific failures.
- Compliance mapping: GDPR, AI Act, SOC2 considerations for AI-powered products.
Our Approach
We treat AI systems like any other attack surface — but with specific threat models for machine learning pipelines. We review data ingestion, model training or fine-tuning processes, inference APIs, and output handling. For RAG systems, we audit the entire retrieval chain: document ingestion, embedding storage, retrieval logic, and response generation. We build governance frameworks proportionate to your stage.
Deliverables
- AI system threat model and risk register
- RAG security audit report (if applicable)
- LLM safety assessment with specific vulnerability findings
- AI governance policy templates
- Compliance gap analysis for relevant regulations
- Remediation roadmap with priorities
Timeline
AI security engagements typically run 2–4 weeks. A focused LLM safety review can be completed in 1–2 weeks. Governance framework development may extend to 4–6 weeks for larger organisations.
Frequently Asked Questions
We use third-party AI APIs (OpenAI, Anthropic). Do we still need this?
Especially if you use third-party APIs. The risks shift but do not disappear: data sent to external models, response handling, prompt injection through user inputs, and compliance obligations all need review.
We are an early-stage startup. Is AI governance overkill?
No — but the scope should match your stage. We build lightweight, proportionate frameworks that grow with you. Getting foundations right now is far cheaper than retrofitting later.
Can you help with AI Act compliance?
Yes. We map your AI system against the EU AI Act risk categories and help you understand your obligations. For high-risk applications, we help build the required documentation and governance structures.
Shipping AI features? Make sure your security keeps pace.