AI in Cybersecurity: Securing the Agentic SOC Future

Artificial intelligence is rapidly changing both offensive and defensive cybersecurity. Attackers use AI to speed up vulnerability discovery and phishing campaigns, while defenders rely on AI to keep up with these faster attacks. Here's the thing: The future of security operations centers, or SOCs, involves an "agentic SOC." This means AI handles repetitive investigative work, while human analysts remain responsible for critical decisions. AI has accelerated attacker operations, invalidating the idea of simply adding more human staff to the problem. What's interesting is the growing risk from "shadow AI." These unauthorized tools create new attack surfaces across various systems. CrowdStrike foresees AI agents handling tasks like alert enrichment, triage, and incident documentation. Human analysts will then validate conclusions and approve responses. The success of this model depends on high-quality data across all systems. The bottom line: AI adoption should happen incrementally through "bounded autonomy," gradually expanding AI's responsibilities as trust grows. This approach helps organizations secure their systems more effectively in the face of evolving threats.