AI Red Teaming & Security Testing is the offensive counterpart to the defensive categories in our taxonomy. These companies help organizations proactively discover vulnerabilities in their AI systems through automated adversarial testing, prompt injection simulation, jailbreak detection, and comprehensive AI penetration testing.
The category has experienced a renaissance in 2026, driven by both regulatory requirements (the EU AI Act mandates adversarial testing for high-risk AI systems) and a series of high-profile AI exploits that demonstrated the fragility of production LLM applications. Companies like Haize Labs, NVIDIA Garak, and Mindgard are pioneering automated red teaming at scale — the ability to continuously test AI systems against evolving attack techniques without requiring specialized ML security expertise on staff.
The prompt injection testing sub-segment has become particularly critical. As LLM-powered applications handle sensitive enterprise data and take real-world actions (executing code, sending emails, querying databases), the consequences of successful prompt injection extend far beyond chatbot jailbreaks. Lakera (now part of Check Point), Prompt Security (now part of SentinelOne), and Rebuff AI developed specialized defenses, while companies like CalypsoAI, Lasso Security, and Adversa AI provide comprehensive testing suites that simulate these attacks.
The intersection of AI red teaming and traditional penetration testing is creating a new professional discipline. Bug bounty platforms are adapting to AI-specific vulnerabilities, and a growing ecosystem of AI security researchers is publishing novel attack techniques at an accelerating pace. For enterprises deploying AI at scale, continuous adversarial testing is shifting from a periodic assessment to an always-on security capability — much like how traditional application security evolved from annual penetration tests to continuous DAST/SAST scanning.