Tamnoon introduces skill-based AI orchestration for autonomous cloud defense

Tamnoon has expanded its AI engine, Tami, into a skill-based orchestrator that generates customer-specific remediation skills tailored to each enterprise environment. Trained on more than 6 million real cloud fixes across 800+ accounts, Tami coordinates specialized AI skills to safely and autonomously address every class of cloud risk. Two new skills are available, Remediation Confidence Score and Safe Vulnerability Patching Simulator.

Frontier AI is reshaping the cloud attack surface exponentially. AI ships vulnerable code 24/7, autonomous agents hold deeper access to enterprise systems, and AI-powered attacks reach any enterprise faster, with no expertise required. Yet defense has not kept pace: average mean-time-to-remediate for critical cloud alerts has reached 128 days, while only 18% of teams can remediate at the speed they release code. Generic playbooks and single-purpose agents cannot close the gap.

The shift is being recognized by industry analysts. According to Gartner, “reliance on manual triage will fail completely as AI-assisted development accelerates the volume of vulnerabilities beyond human capacity. Security and risk management leaders must adopt agentic remediation platforms that can prioritize, validate, and execute fixes with confidence at machine speed.”

Skill-based cloud defense

Cloud security spans roughly 1,200 distinct problem clusters each demanding its own remediation flow, expertise, and safety controls. Tami’s expanded architecture coordinates specialized skills across this surface, with high-risk paths routed to Tamnoon’s expert CloudPros for human oversight. The platform delivers:

• Remediation confidence score. Tami’s new skill scores every fix as SAFE, RISKY, or UNSAFE before it reaches a developer, evaluating real operational impact in the customer’s environment. Production-safety becomes a measurable score, not a leap of faith.
• Safe vulnerability patching simulator (Beta). Engineers preview the impact of a patch such as version compatibility, dependencies, runtime behavior in a sandbox before promoting to production. Vulnerability remediation becomes a same-day workflow.
• Customer-specific skills, trained on real fixes. Tami generates remediation flows tailored to each customer’s cloud such as different dependencies, ownership, and blast radius produce different fixes drawing on 6M+ real fixes, not synthetic data or scraped documentation. Tami’s open orchestration layer also lets enterprises and partners bring their own remediation skills into Tami’s safety, validation, and execution pipeline. Across 10M+ workloads, the platform delivers 97% exposure reduction in 90 days, a 142:1 efficiency ratio, and zero production incidents.

“Tami isn’t one agent, it’s an orchestrator. We’ve built the layer that coordinates remediation skills generated for each customer’s environment, with the safety controls to ship in production. The Confidence Score and Patching Simulator are the new skills. Soon, customers and partners will edit existing and add their own. Tami finishes the job, across every class of cloud risk,” said Idan Perez, CTO of Tamnoon.