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As of Oct 14, an AWS case study describes how cloud security company Tamnoon built Tami, an agentic remediation orchestrator on Amazon Bedrock that investigates findings from CNAPP and cloud-native sources, checks whether a fix is safe, and generates and orchestrates the change with guardrails.
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Tamnoon details Tami, its agent on Amazon Bedrock that investigates and remediates cloud security findings
AWS Machine Learning Blog published this on Oct 14, 2026 (source: aws.amazon.com).
An AWS case study describes how cloud security company Tamnoon built Tami, an agentic remediation orchestrator on Amazon Bedrock that investigates findings from CNAPP and cloud-native sources, checks whether a fix is safe, and generates and orchestrates the change with guardrails. Every Tami workload calls Anthropic Claude through Bedrock so customer data stays inside AWS. Tamnoon says the approach cut critical cloud exposure by over 90% within 90 days with zero production issues.
Source: AWS Machine Learning Blog
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