NEWS · STARTUPS · #1961
Tamnoon builds Tami, an agentic cloud-remediation system on Amazon Bedrock
Tamnoon describes how it built Tami, an AI-powered, agentic cloud remediation orchestrator running on Amazon Bedrock and AWS serverless components that ingests CNAPP/CSPM findings, investigates context with LLM‑based validation, scores safety, and generates guarded fixes. Tamnoon reports the approach cut critical cloud exposure by over 90% in 90 days without production incidents and integrates with AWS, Azure, Google Cloud, and existing CNAPP tools.
KEY POINTS
- Tamnoon describes how it built Tami, an AI-powered, agentic cloud remediation orchestrator running on Amazon Bedrock and AWS serverless components that ingests CNAPP/CSPM findings, investigates context with LLM‑based validation, scores safety, and generates guarded fixes.
- Tamnoon reports the approach cut critical cloud exposure by over 90% in 90 days without production incidents and integrates with AWS, Azure, Google Cloud, and existing CNAPP tools.
- Automating investigation and guarded remediation with LLM-driven agents could materially reduce cloud exposure backlog while preserving production safety, changing how security teams handle CNAPP findings.
WHY IT MATTERS
Automating investigation and guarded remediation with LLM-driven agents could materially reduce cloud exposure backlog while preserving production safety, changing how security teams handle CNAPP findings.