Organizations are rapidly adopting AI-driven auto remediation for cybersecurity, with 88% already using AI-driven remediation in some form. Survey data from Omdia shows significant efficiency gains in mean time to detect (77% significant improvement) and mean time to remediate (65% significant improvement) when using agentic AI. Top automated remediation areas include cloud infrastructure configuration, network access controls, and identity/permission changes. Key barriers to broader adoption include trust in AI decision-making (49%), security risks of AI itself like prompt injection (48%), integration complexity (41%), and skill gaps (38%). The piece argues that as AI expands attack surfaces through productivity gains, security teams must embrace agentic AI to scale defenses and keep pace with evolving threats.
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