Tamnoon Expands Cloud Security Platform with Skill-Based Remediation

Tamnoon has expanded its AI engine, Tami, into a skill based orchestrator that generates customer specific remediation skills for enterprise cloud environments, announced in a press release. The new system is trained on over six million real cloud fixes across more than eight hundred accounts and is designed to coordinate specialized AI skills for closing cloud security risks autonomously.

Two new capabilities were introduced as part of the update. The Remediation Confidence Score evaluates each fix as safe, risky, or unsafe before reaching developers, while the Safe Vulnerability Patching Simulator allows engineers to preview the impact of patches in a sandbox environment before deployment. These tools aim to make vulnerability remediation a same day process.

Tami’s architecture now enables enterprises and partners to integrate their own remediation skills into the platform’s validation and execution pipeline. According to the company, the system currently protects over ten million workloads with a reported ninety seven percent exposure reduction within ninety days and no production incidents.

CTO and Co Founder Idan Perez stated that Tami functions as an orchestrator coordinating remediation skills across different classes of cloud risk, with human oversight provided by Tamnoon’s CloudPros for high risk cases.