John DiLullo, CEO of Deepwatch, emphasizes that Agentic AI tools significantly enhance cybersecurity by automating repetitive tasks traditionally handled by analysts. These agentic systems improve threat detection accuracy and reduce errors, ultimately boosting team productivity. Deepwatch has deployed six agentic solutions, which include narrative and ticket agents, and continuously trains its AI models using real-world analyst feedback. DiLullo envisions future applications of AI in insider risk analysis and dark web monitoring. He addressed concerns about AI “hallucinations” by highlighting that human analysts can also make errors. In a recent interview, he discussed the integration of AI into Managed Detection & Response (MDR) and how automation has led to a streamlined workforce. With a robust background in AI-driven technology, DiLullo’s leadership aims to future-proof Deepwatch in the evolving landscape of artificial intelligence and machine learning.
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