Artificial intelligence is fundamentally transforming business processes – from chatbots and LLM integrations to automated decision-making systems and AI agents with direct tool access. But new capabilities also create new attack surfaces that traditional security testing cannot cover.
Why AI Systems Require Dedicated Security Testing
Prompt injection, jailbreaking, adversarial attacks, or the manipulation of tool calls via MCP servers – AI-specific vulnerabilities differ fundamentally from conventional IT risks. A targeted AI pentest examines precisely these attack vectors before they can be exploited.
What We Test
Our AI pentests are based on the OWASP Top 10 for LLM Applications and current research in adversarial AI security. Key areas include:
- Prompt injection & jailbreaking (direct and indirect via embedded data sources)
- Data leaks from training data and system prompts
- Adversarial attacks on ML models and decision-making systems
- Model extraction and AI supply chain security
- Agentic AI & tool-use security (MCP servers, function calling, plugins)
EU AI Act: AI Security Becomes Mandatory
The EU AI Act requires providers and operators of high-risk AI systems to demonstrate verifiable security measures. Robustness against manipulation, transparency, and human oversight are becoming regulatory requirements. An AI pentest provides the evidence that your systems meet these standards.
Our Approach – In Seven Steps
From threat modeling and systematic prompt injection testing to robustness assessments, data leak analysis, and infrastructure review: you receive a detailed report covering all identified vulnerabilities, proof-of-concept attacks, and prioritized hardening recommendations.