Tamnoon launches skill-based AI orchestration for autonomous cloud security
▼ Summary
– Tamnoon expanded its AI engine, Tami, into a skill-based orchestrator that generates customer-specific remediation skills trained on over 6 million real cloud fixes.
– Two new skills are available: the Remediation Confidence Score, which classifies fixes as SAFE, RISKY, or UNSAFE, and the Safe Vulnerability Patching Simulator for previewing patch impact.
– AI is accelerating cloud attack surfaces and vulnerabilities, but defense lags with a 128-day average mean-time-to-remediate for critical alerts and only 18% of teams remediating at code-release speed.
– Tami’s architecture coordinates specialized skills across 1,200 cloud security problem clusters, routing high-risk paths to human experts for oversight.
– The platform achieves 97% exposure reduction in 90 days, a 142:1 efficiency ratio, and zero production incidents across 10 million workloads.
Tamnoon has upgraded its AI engine, Tami, into a skill-based orchestrator designed to generate custom remediation capabilities tailored to each enterprise’s unique cloud environment. Drawing on a dataset of more than 6 million verified cloud fixes across over 800 accounts, Tami now coordinates specialized AI skills to autonomously and safely address the full spectrum of cloud risks. The update introduces two new features: the Remediation Confidence Score and the Safe Vulnerability Patching Simulator.
The rapid evolution of frontier AI is dramatically expanding the cloud attack surface. AI systems now deploy vulnerable code around the clock, autonomous agents hold deeper access to enterprise networks, and AI-powered attacks can reach any organization with unprecedented speed and minimal expertise. Defenses, however, have not kept up. The average mean-time-to-remediate for critical cloud alerts now stands at 128 days, and only 18% of security teams can fix vulnerabilities as quickly as they release code. Generic playbooks and single-purpose agents are no longer sufficient to close this gap.
Industry analysts are taking note. 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 encompasses roughly 1,200 distinct problem clusters, each requiring its own remediation flow, specialized expertise, and safety controls. Tami’s expanded architecture coordinates specialized skills across this broad surface, routing high-risk paths to Tamnoon’s expert CloudPros for human oversight. The platform now delivers:
- Remediation Confidence Score: Before any fix reaches a developer, Tami evaluates its real operational impact in the customer’s environment, scoring it as SAFE, RISKY, or UNSAFE. This transforms production safety from a leap of faith into a measurable, data-driven score.
- Safe Vulnerability Patching Simulator (Beta): Engineers can preview the impact of a patch,including version compatibility, dependencies, and runtime behavior,in a sandbox environment before promoting it to production. This makes vulnerability remediation a same-day workflow.
- Customer-Specific Skills: Tami generates remediation flows tailored to each organization’s cloud, accounting for differences in dependencies, ownership, and blast radius. These flows are built from 6 million real fixes, not synthetic data or scraped documentation. An open orchestration layer also allows enterprises and partners to integrate their own remediation skills into Tami’s safety, validation, and execution pipeline.Across more than 10 million workloads, the platform has achieved a 97% exposure reduction within 90 days, a 142:1 efficiency ratio, and zero production incidents.“Tami isn’t one agent, it’s an orchestrator,” said Idan Perez, CTO of Tamnoon. “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.”