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Industry · AI

Security for AI companies.

AI products face new scrutiny and a new attack surface. Enterprise buyers want to know your models and data are secure. We test for the risks that come with AI and help you prove you've handled them.

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Why it's different for AI

AI adds risks that traditional testing misses: prompt injection, data leakage through models, insecure integrations, and training-data exposure. At the same time, enterprise buyers are asking AI vendors harder security questions than ever, and want a SOC 2 or ISO 27001 to back the answers.

Real Threats

The actual risks.

AI and machine learning applications introduce entirely new attack vectors. Prominent threats include prompt injection (both direct override and indirect injection via scraped web content), training data extraction, model theft, and insecure API integrations that allow LLM agents to execute unintended actions. Traditional scanners fail to detect these logic-based flaws, leaving AI companies exposed to data leaks and model manipulation.

Compliance Drivers

What forces audits.

The regulatory landscape is shifting quickly with the enactment of the EU AI Act, FTC guidelines on algorithmic fairness and data retention, and international frameworks like the NIST AI Risk Management Framework. Furthermore, enterprise procurers require AI vendors to certify that client data will not be used to train models and that multi-tenant data pipelines are strictly partitioned.

Buyer Scenario

Why security buys.

An AI startup has built a customer service agent that integrates with enterprise CRMs to handle user inquiries. Before a multinational client will authorize access to their database, they demand an external security assessment of the LLM pipeline, verification that personal data is sanitized before ingestion, and a SOC 2 report to verify data protection controls. The AI vendor needs specialized penetration testing to satisfy these enterprise trust requirements.

Frameworks that matter

What buyers in AI expect.

How we help

One team across the work.

FAQ

AI: common questions

Do you test for prompt injection and model risks?

Yes. We test the AI-specific surface, including prompt injection, data leakage and insecure integrations, alongside standard application and API testing.

Our buyers are asking hard AI security questions. Can you help us answer them?

Yes. We help you test, fix and document, so you can answer with evidence rather than assurances.

Derisk. Build Trust.

Prove your security to AI buyers.

Tell us what's prompting this, whether a questionnaire, an audit deadline or an investor ask. We reply within four business hours.

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