Tamnoon
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- Tamnoon builds Tami, an agentic cloud remediation orchestrator on Amazon Bedrock
An AWS Machine Learning Blog post describes how Tamnoon built Tami, an agentic cloud remediation orchestrator, on Amazon Bedrock. Tami ingests findings from CNAPP and cloud-native tools such as Wiz, CrowdStrike and AWS Security Hub, then uses four specialized agents — investigation, safety scoring, remediation and code generation — to produce fixes rated SAFE, RISKY or AWAITING DATA, with Bedrock Guardrails, a generate-and-review loop and human approval gating execution. Tamnoon says the approach cut critical cloud exposure by more than 90% in 90 days with zero production issues; those figures are the vendor's own and have not been independently verified.
AWS Machine Learning Blog · 🔥 0
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