SERVICES / AI SECURITY
Your AI shipped faster than your security did.
Companies are wiring language models into products and workflows faster than anyone is testing them. We test AI systems the way attackers actually use them — through the prompts, the data, and the tools you connected to them.
Engagement details
What we test
- LLM applications.Prompt injection, direct and indirect. Jailbreaks. System-prompt extraction. Unsafe handling of model output that turns a chat reply into stored XSS or worse.
- RAG pipelines.Whether retrieval leaks data across users and tenants, whether your knowledge base can be poisoned, and whether access control survives being embedded.
- Agents and tools.The question that matters most: what can a hijacked model actually do? We map the blast radius of every function, API, and browsing capability you handed it.
- Integration and keys.API key handling, rate and cost abuse, prompt logs that quietly collect PII.
- Models and pipelines.The supply chain behind the model: poisoned datasets, tampered checkpoints and serialized artifacts, exposed MLOps consoles and registries, and who can actually touch the weights.
Beyond the assessment
- AI-driven social engineering.Phishing and voice-clone simulations built with the same AI tooling attackers now use, so your people rehearse against what's actually coming — not last decade's template email.
- Shadow AI discovery.An inventory of the AI already inside your company: unsanctioned tools, secrets pasted into chatbots, API keys sitting in repos, data leaving through prompts — and a usage policy that works without banning everything.
- Guardrails and detection.We design and tune the defensive layer for your AI features: input and output filtering, tool permissioning, abuse monitoring and alerting — then attack it ourselves to prove it holds.
- AI governance readiness.Controls and documentation mapped to ISO/IEC 42001 and the AI regulation now reaching the region, folded into the compliance work we already do for ISO 27001 and PCI-DSS.
What you get
- Findings with full reproduction transcripts — the exact conversations and payloads, replayable by your team.
- Severity ranked by blast radius: a leaked system prompt is not the same as an agent that can move money.
- Fix guidance that goes beyond "add a guardrail": output handling, tool permissioning, retrieval access control, and where a human belongs in the loop.
- Optional: a hands-on session with your dev team — the same workshop we run at universities, adapted to your stack.
Common questions
- We just call OpenAI or Azure APIs. Isn't security their job?
They secure the model. The injection lives in your prompts, your retrieval data, and the tools you connected — and that part ships under your name. That's the part we test.
- Is prompt injection actually dangerous, or just embarrassing?
It depends entirely on what the model can reach. A chatbot with no tools leaks its instructions — embarrassing. An agent with access to email, databases, or payments follows the attacker's instructions instead of yours. We rank findings by that difference.
- Do you test the model itself or our integration?
Integration first — that's where your risk concentrates and where you can actually fix things. We'll flag model-level weaknesses when they matter to your use case.
- Can you find out what AI our employees are already using?
Yes — that's the shadow AI discovery. Most companies find more AI in use than they approved, and more data leaving through prompts than they'd like. You get the inventory and a policy people can actually follow.
- Can you train our team instead?
Yes. The workshop we run for universities and conferences adapts to your stack and your engineers — testing and building safer AI features, hands-on.
Prompt injection, agent blast radius, model supply chain, shadow AI, guardrails. The full AI attack surface.
Ship AI without the incident.
Tell us what you've wired the model into — we'll scope an assessment.
Request a briefing