Begin at the End: How to Enable Agentic Remediation
Article discusses enabling agentic AI for automated vulnerability remediation in cybersecurity.
The article advocates for 'Shift Zero' by enabling agentic AI for automated vulnerability remediation, moving beyond traditional Continuous Threat Exposure Management (CTEM) which often stalls at the manual mobilization phase. By inverting the CTEM framework to focus on automating the final step of mobilization, organizations can close the loop on exposure management and eliminate vulnerability backlogs.
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The lesson from this incident
Full lessonTraditional Continuous Threat Exposure Management (CTEM) frameworks frequently stall at the mobilization phase, leaving organizations with growing vulnerability backlogs despite having identified the risks. The root cause is an over-reliance on manual remediation processes that cannot scale to match the speed and volume of modern threat discovery. Agentic AI offers a paradigm shift — the 'Shift Zero' approach — by automating the final and most critical step: actually fixing the vulnerabilities. Without closing this loop, identification without remediation creates a false sense of security. Organizations that fail to automate remediation workflows remain exposed even when their scanning and prioritization tools are mature.
What helps against this
How we list vendors- Vulnerability scanning and prioritisation
You know which systems are vulnerable, and which ones to fix first.
- SOC automation and AI analysts
Alerts arrive faster than the team can investigate them, so real attacks wait in the queue or are closed unread.