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From Assistive to Agentic: The AI Shift That's Redefining Threat Management

Enterprise security teams are adopting agentic AI to bridge gaps between siloed tools, enabling continuous threat exposure management and faster, autonomous responses to modern, machine-speed cyber threats.

Key Points

  • Enterprise security teams currently manage over 40 disparate tools, leading to fragmented data and average breach dwell times of approximately 43 days.
  • Gartner’s Continuous Threat Exposure Management (CTEM) framework aims to replace reactive, point-in-time assessments with a continuous cycle of discovery, validation, and mobilization.
  • Unlike assistive AI that summarizes data, agentic AI autonomously executes multi-step workflows across security systems to close the gap between threat intelligence and remediation.
  • Effective CTEM requires an orchestration layer that integrates threat intelligence, security posture validation, and automated response into a single, closed-loop operational model.
  • Filigran is hosting a webinar to demonstrate how security teams can implement agentic AI to eliminate manual handoffs and improve overall threat response speed.

Why it Matters

Transitioning to an agentic security architecture allows organizations to move beyond manual, human-coordinated responses that are increasingly ineffective against fast-moving, AI-driven adversaries. By automating the "white space" between security tools, companies can reduce analyst burnout and achieve a sustainable, proactive defense posture.
Internet Published by info@thehackernews.com (The Hacker News)
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