What is AI penetration testing?
Security Boulevard, Friday, May 15th, 2026
As organisations continue integrating AI capabilities into customer-facing applications, internal tooling, and operational workflows, the security implications of these systems are becoming increasingly important.
Large Language Models (LLMs), AI assistants, and automated decision-making features are now appearing across SaaS platforms, support systems, and enterprise applications, often connected directly to sensitive data and business processes.
This shift is introducing new attack surfaces that are not always addressed through traditional testing approaches alone. While many of the underlying security principles remain familiar, AI-enabled systems introduce additional behaviours, trust boundaries, and interaction models that require more specialised assessment.