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Outpost24 helps organizations uncover weaknesses in LLMs, AI-powered applications, and agentic systems through expert-led adversarial testing.
As organizations embed AI into customer-facing applications, internal workflows, and agentic systems, they create a new AI attack surface that requires dedicated adversarial testing.
Our experts map your AI environment, including models, prompts, RAG pipelines, agents, APIs, and connected systems.
Performed by our certified penetration testers, we simulate real-world attacks against prompts, workflows, permissions, integrations, and data access paths.
Receive prioritized findings aligned to the OWASP Top 10 for LLMs, remediation guidance tailored to AI architectures, and audit-ready reporting.
Simplify your compliance and audit efforts. Outpost24 AI Penetration Testing Services supports organizations preparing for the EU AI Act and NIST AI RMF.
Our AI pentesting services test the model layer, prompt layer, RAG pipelines, agent workflows, and supporting APIs. Our penetration testing service for AI systems focuses on how AI behaves in production and how it can be manipulated through real-world attack paths. We do not test the underlying model provider’s infrastructure or review training data and model weights.
Yes. Testing before launch helps identify vulnerabilities earlier, when they are typically faster and less costly to fix. It also gives your team more confidence before go-live and helps demonstrate security due diligence from day one.
Partially. Our web application assessments include testing of AI-integrated functionality within the application scope. However, they do not cover AI-specific risks at a deeper level, including those related to the underlying model and infrastructure. A dedicated AI/LLM pentest is recommended when AI is a core part of the product. If unsure, bring it up at scoping and the team will advise on the right approach.
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