Tamnoon Enhances AI for Autonomous Cloud Security Management

On May 26, 2026, Tamnoon announced the expansion of its AI engine, Tami, into a skill-based orchestrator designed to autonomously generate tailored remediation for cloud security risks. This upgrade includes the introduction of a Remediation Confidence Score and a Safe Vulnerability Patching Simulator, both aimed at improving the speed and safety of cloud defense. The platform is trained on over six million real-world cloud remediations, addressing the growing disparity between the rapid emergence of AI-driven threats and the slow response of traditional security operations. Current industry data indicates that the average time to remediate critical cloud alerts has reached 128 days, with only 18% of security teams able to keep pace with code releases. Analysts emphasize the need for automated solutions to manage the increasing volume of vulnerabilities effectively. Tamnoon's new capabilities represent a strategic response to the challenges posed by the 'Frontier AI' era, which has significantly expanded the cloud attack surface.

Key Points: • Tamnoon's AI engine, Tami, now features a skill-based orchestrator for cloud security. • The platform introduces two new capabilities: Remediation Confidence Score and Safe Vulnerability Patching Simulator. • The average remediation time for critical cloud alerts has reached 128 days, highlighting the urgent need for automation.