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EVENT / TOPICHistorical

Tamnoon Builds AI‑Powered Cloud Security Remediation Agent on Amazon Bedrock

1 reports1 sources10/14/2026 updated

Current overview (not historical)

AI overview

Tamnoon has created an AI agent called Tami on Amazon Bedrock that automates the entire cloud‑security workflow—from discovery to remediation. Tami employs four specialized agents that ingest findings from CNAPP and other cloud‑native sources, evaluate potential fixes, and execute them while ensuring safety. In a 90‑day pilot, the system reduced critical cloud exposure by over 90% and reported zero production incidents, demonstrating the effectiveness of AI‑driven remediation in a real‑world environment.

Written with AI from the reporting · updated 10/14/2026

Latest developmentOct 14, 21:53
Tamnoon builds AI-powered cloud security remediation orchestrator Tami on Amazon Bedrock
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  1. 1Unclassified fact stationOct 14, 00:00recorded Oct 14, 22:23single source

    Tamnoon在Amazon Bedrock上构建AI云安全修复代理

    Read original source ↗ AWS Machine Learning BlogReplay this moment in the explorer
    Evidence & revisions · 1 source records
    Subject：
    tamnoon
    Action：
    在Amazon Bedrock平台上构建名为Tami的AI代理，用于云安全修复
    Object：
    云安全修复平台
    Occurred (fact side)：
    Oct 14, 00:00
    AWS Machine Learning Blog ↗Report pageOriginal / first version
    Published (valid side)：
    Oct 14, 21:53
    First seen (known side)：
    Oct 14, 22:23
    Fact stationSingle source · one-sided claim

    Copy may have been revised later; time replay is bounded. Layer labels group reading only, not causation between layers.

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Oct 14
  1. AWS Machine Learning BlogFirst-party sourceRelated fact: single source
    Tamnoon builds AI-powered cloud security remediation orchestrator Tami on Amazon Bedrock

    Report first recorded Oct 14, 22:23

    Tamnoon developed Tami, an agentic cloud remediation orchestrator on Amazon Bedrock, to autonomously investigate findings from CNAPP and cloud-native sources and assess remediation safety. This approach resulted in over 90 percent reduction in critical cloud exposure within 90 days with zero production issues, supporting environments across AWS, Azure, and Google Cloud.

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