Tamnoon AI: Cloud Security Remediation & Frontier AI Defense

Tamnoon has expanded its cloud security platform with new skill-based remediation capabilities. Its AI engine, Tami, now acts as a skill-based orchestrator, creating custom remediation skills for each enterprise. What's interesting is Tami was trained on over 6 million real cloud fixes across more than 800 accounts. It now coordinates specialized AI skills to autonomously close cloud risks. Two new skills are launching: Remediation Confidence Score and Safe Vulnerability Patching Simulator. The company states Frontier AI is rapidly changing the cloud attack surface. AI-powered attacks are becoming faster and more accessible. Yet, defense has not kept pace, with critical cloud alerts taking an average of 128 days to remediate. The new Remediation Confidence Score evaluates fixes as safe, risky, or unsafe before they reach a developer. The Safe Vulnerability Patching Simulator, currently in beta, allows engineers to preview the impact of a patch in a sandbox. The bottom line is that these advancements aim to provide faster, more precise, and automated fixes for cloud security gaps.