The Next AI Race: Fix Weaknesses in Time

The Next AI Race: Fix Weaknesses in Time

AI has shortened the time between the discovery and exploitation of vulnerabilities, but most remediation processes are not keeping pace.

Because cyber incidents can cripple operations, companies need continuous, engineering-driven remediation workflows instead of reactive security.

AI accelerates vulnerability discovery and the analysis of attack vectors – for both attackers and defenders. Remediation, however, often still follows the old pattern: findings are collected, prioritized, and passed on across multiple teams. While tickets sit in the backlog, the window of opportunity for effective risk mitigation shrinks. Because an incident can now disrupt business-critical operations, cybersecurity is a matter of business continuity. Remediation must therefore evolve from an isolated, reactive security task to a continuous process jointly managed by security, engineering, and operations teams.

When the remediation window shrinks

A security finding cannot be prioritized solely based on its severity. Whether it becomes an acute risk also depends on accessibility, permissions, and other vulnerabilities along the same attack path. AI helps attackers chain multiple low-risk vulnerabilities into high-impact attack paths. Even a seemingly minor flaw can become relevant before it even reaches the backlog. Where exploitation approaches faster than a fix, lengthy coordination processes and rigid prioritization lists themselves become a risk.

Read the full article here. Article published in German.

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