Agentic AI, characterized by its autonomous decision-making and adaptive learning capabilities, is transforming cybersecurity and incident response by enabling faster threat detection, automated mitigation and predictive defense. Enterprises are leveraging agentic AI for automated threat hunting, behavioral anomaly detection and incident containment, significantly reducing response times and minimizing damage from cyberattacks. However, the rise of agentic AI also introduces challenges, such as ensuring ethical decision-making, preventing adversarial exploitation and maintaining human oversight in critical security operations.

The session will cover:

• Leveraging agentic AI for deception technology and threat simulation;
• Risks of AI bias and the adversarial manipulation of AI-driven security models;
• Balancing human intuition with AI-driven automation for better decision-making.