

The Truth About Agentic AI in the SOC: Reality vs. Hype
Aug 7, 2025
Edward Wu, the innovative founder and CEO of Dropzone AI, shares insights on the practical integration of AI in Security Operations Centers (SOCs). He discusses how AI acts as a supportive tool for analysts rather than a replacement, debunking myths of full automation. The conversation covers AI's role in swiftly investigating alerts, the importance of transparency, and the challenges of AI hallucinations. Wu also predicts an evolution in SOC roles as AI takes on repetitive tasks, encouraging a balanced approach to technology in cybersecurity.
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AI Agents Support, Not Replace
- AI agents in SOC act as foot soldiers supporting human analysts, not replacing them.
- Fully autonomous SOCs are not yet feasible due to complexity and need for human oversight.
Complexity of AI Alert Investigation
- Alert investigation by AI requires over 100 distinct large language model calls per alert.
- Managing this complexity and integrating organizational context is a major challenge for DIY SOC AI.
AI Improves SOC Efficiency and Coverage
- AI agents drastically reduce Mean Time To Resolution (MTTR) by investigating alerts in parallel.
- This increase in efficiency and coverage allows SOC teams to handle more alerts effectively.