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![]() Title:Powering Cybersecurity with Gen-AI and Intelligents Agents Authors:Harsh Verma Tags:Agent Observability, Agentic AI, AI Agent Orchestration, AI-Driven Defense, Autonomous Cybersecurity, Autonomous Decision-Making, Autonomous Security Operations (SecOps), Breach Cost Mitigation, Foundation Models, Graceful Degradation / Graceful Failure, Hierarchy of Needs for AI Agents, Incident Response Automation, Rule-Based Automation vs. Agentic Systems, Self-Healing Systems, Startup Infrastructure, Threat Surface Management and Transparent Reasoning (Explainable AI) Abstract: The cybersecurity landscape is at a breaking point, with a new attack occurring every 39 seconds and an average breach cost of $4.35M. Traditional rule-based automation is no longer enough; it is too rigid and reactive. The solution lies in Agentic AI autonomous systems that don't just follow rules but observe, decide, and act with minimal human intervention. For startups, the "Hierarchy of Needs" for these agents starts with robust infrastructure and foundation models, moving up through orchestration and observability, and peaking at full Agentic Systems capable of self-healing and independent defense. The goal is to build agents that reason transparently and fail gracefully, ensuring they remain an asset rather than a liability in complex workflows. Powering Cybersecurity with Gen-AI and Intelligents Agents ![]() Powering Cybersecurity with Gen-AI and Intelligents Agents | ||||
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