Tami

About Tami

Tami is an AI-based cloud security agent at the core of Tamnoon's security solutions. Its main functionality is to aggregate data, conduct deep investigations, and generate remediation to aid cloud security engineers in focusing on safe remediation. Categorized as a context-aware AI, Tami provides support for companies using a CNAPP or CDR by handling everyday security tasks. It consists of four different agents working in tandem to orchestrate and execute remediation plans. These include the 'Context Agent', 'External MCP Agent', 'Code Generation Agent', and 'Automation Retriever Agent'. Tami uses multiple Language Models (LLMs) selected for specific tasks and utilises a human CloudPros verification process for the logic and safety of proposed solutions. Tami also tackles the challenge of response formulation in the cloud security industry by automatically creating validated fixes for any risk it encounters. It's been trained on Tamnoon's playbooks, which allows it to learn from best practices and create innovative approaches to unique scenarios. It works proficiently, whether the context is single-cloud, multi-cloud, or hybrid, generating comprehensive, provider-specific remediation steps. Finally, Tami collaborates closely with expert supervision to deliver agent-led remediation scaled with AI to help teams achieve safe remediation and enhance cloud security.