AI Agents Reshape Cyberattacks by Adapting to Failed Attempts

The shift toward adaptive AI agents represents a transition from static, scripted malware to dynamic threats that learn and evolve in real-time. This capability forces cybersecurity defenders to move beyond traditional pattern matching toward proactive, behavior-based threat hunting.