AI Security · AI/ML

AI Security for AI/ML

If AI is your product, the model layer is your attack surface. We threat-model your LLM, RAG, and agent systems and test them against the OWASP LLM Top 10.

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Why AI/ML companies need AI Security

  • Prompt injection is the top risk in the OWASP LLM Top 10 and affects nearly every LLM application.
  • RAG systems can leak source data through the model; agents can be manipulated into unintended tool calls.
  • AI companies face emerging governance expectations, such as the EU AI Act, on top of technical security.
  • Enterprise buyers increasingly send AI-specific security questions your standard controls don't answer.

More context on this sector on our AI/ML industry page.

What our AI Security engagement covers

Tailored to AI/ML, delivered by a Toronto security and compliance team led by a published CVE researcher, with our partner Lorikeet Security where offensive testing is involved.

  • Agent tool-call abuse and memory-poisoning testing
  • Guidance on emerging AI-governance obligations relevant to your product
  • Threat model across LLM, RAG, and agent surfaces
  • Prompt-injection testing (direct, indirect, multi-turn, tool-call abuse) mapped to the OWASP LLM Top 10
  • RAG and data-layer leakage testing
  • Shadow-AI inventory and a prioritized remediation roadmap

See the full AI Security service page, or productized pricing for fixed-scope engagements.

Related pages

AI Security for AI/ML: common questions

What is prompt injection?

An attack where crafted input overrides the model's intended instructions, potentially exfiltrating data or triggering unintended actions. It is the number-one item in the OWASP LLM Top 10.

How is AI security testing different from a normal pentest?

A normal pentest targets infrastructure and app logic; AI security testing targets the model layer — prompts, RAG data flows, and agent behavior. We do both, and co-deliver adversarial testing with Lorikeet Security.

Do we need this if we just use a third-party model?

Yes — the risks live in how your application wires up prompts, data, and tools around the model, not just the model itself.

AI Security for AI/ML, on your timeline

Book a free 30-minute discovery call. We will tell you whether this engagement fits, what it would cost, and when we could start.

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