Tamnoon Tami is a cloud security agent designed to automate remediation tasks for organizations using Cloud-Native Application Protection Platforms (CNAPP) or Cloud Detection and Response (CDR) solutions. The product consists of four specialized AI agents that work together: a Context Agent that orchestrates initiatives, an External MCP Agent that communicates with CNAPPs and CDRs using the MCP protocol, a Code Generation Agent that learns from expert playbooks, and an Automation Retriever Agent that selects or creates automation and analyzes results. The system uses multiple large language models with specific responsibilities, including a trained model based on over 2 million remediations and generic LLMs with guardrails. Human CloudPros verify the logic and safety of proposed solutions when required. Tami aggregates data from security tools, performs investigations, and generates remediation plans automatically. The agent creates provider-specific remediation steps for single-cloud, multi-cloud, and hybrid environments. It has been trained on playbooks written by specialists in major cloud providers, CNAPPs, and CDRs. The system generates detailed, contextual, and validated fixes for identified risks.