{"id":236210,"date":"2026-06-24T03:35:08","date_gmt":"2026-06-24T07:35:08","guid":{"rendered":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/24\/from-assistive-to-agentic-the-ai-shift-thats-redefining-threat-management\/"},"modified":"2026-06-24T03:35:10","modified_gmt":"2026-06-24T07:35:10","slug":"from-assistive-to-agentic-the-ai-shift-thats-redefining-threat-management","status":"publish","type":"post","link":"https:\/\/testing.news-you-need.com\/index.php\/2026\/06\/24\/from-assistive-to-agentic-the-ai-shift-thats-redefining-threat-management\/","title":{"rendered":"From Assistive to Agentic: The AI Shift That’s Redefining Threat Management"},"content":{"rendered":"

From Assistive to Agentic: The AI Shift That’s Redefining Threat Management<\/a><\/p>\n

https:\/\/thehackernews.com\/2026\/06\/from-assistive-to-agentic-ai-shift.html<\/a><\/p>\n

Publish Date: 2026-06-19 07:58:00<\/a><\/p>\n

Source Domain: thehackernews.com<\/a><\/p>\n

A Unified Approach to Modernizing Security Operations<\/strong><\/p>\n

The article addresses the profound challenges faced by enterprise security teams today, which utilize numerous security tools, often in silos, leading to overlapping alerts and insufficient breach detection times currently standing at around 43 days. The primary issue isn’t the amount of effort put in but rather the outdated architecture of security programs, which were designed for a human-led, slower-moving threat landscape. The advent of rapid artificial intelligence advancements demands a shift towards more proactive security strategies that run continuously across different functions. The article emphasizes Gartner’s Continuous Threat Exposure Management (CTEM) framework, which emphasizes an iterative, continuous process over isolated, point-time assessments. However, operationalizing CTEM has been difficult due to the disconnect among various specialized security tools, leading to inefficiencies and bottlenecks. Agentic AI, which autonomously executes multi-step workflows at machine speed and continuously correlates and validates data, can fill this gap. Unlike assistive AI, which simply aids existing workflows, agentic AI closes the loop by enabling an end-to-end continuous workflow comprising operationalizing threat intelligence, continuously testing security postures, and mobilizing response actions. Implementing this requires a dedicated AI orchestration layer with interconnected agents, transforming CTEM from a theoretical framework into an operational reality. Organizations that adopt this approach will benefit from improved data, analysis, and better tuning of AI systems, giving them a structural advantage.<\/p>\n

Key Points:<\/strong><\/p>\n