Tamnoon Enhances AI for Autonomous Cloud Security Management

• •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.

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.