AI accelerates attacks, making real-time application security essential
AI drastically shortens the time between the discovery of a vulnerability and actual exploitation: from an average of 771 days in 2018 to potentially just 4 hours by 2026.
Traditional patch cycles can no longer keep up with this pace; organizations must therefore transition from periodic security to continuous risk management.
An up-to-date inventory of applications, APIs, and AI components, combined with continuous vulnerability scanning, threat intelligence, and faster patching, is becoming essential.
Runtime security must provide protection at the application, API, and AI/LLM levels, including the detection of new attacks that do not yet have known signatures.
With the rise of Agentic AI, organizations must also be able to continuously monitor what AI agents are doing and prevent autonomous agents from exploiting applications, data, and APIs.
Read the Securityweek article for more information.

