As organizations increasingly deploy generative AI and autonomous agents into business-critical workflows, traditional application security practices are no longer sufficient. AI systems introduce new classes of risk including prompt injection, model misuse, agent privilege escalation, data poisoning, hallucinations, and emergent behaviors that evolve continuously throughout the AI adoption lifecycle. Gen AI and Agentic Red Teaming provides a structured, lifecycle-wide approach to identifying, measuring, mitigating, and governing these risks through coordinated adversarial testing, defensive validation, and continuous feedback loops.
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AI Security Solutions Landscape For AI and Agentic Red Teaming Q2 2026
- April 9, 2026
