---
type: "raw_signal"
id: "how-tamnoon-built-ai-powered-cloud-security-remediation-515be0"
slug: "how-tamnoon-built-ai-powered-cloud-security-remediation-515be0"
title: "How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock"
description: "AWS describes Tamnoon’s Tami, an agentic cloud-remediation orchestrator built on Amazon Bedrock."
retrieval_nugget: "AWS describes Tamnoon’s Tami, an agentic cloud-remediation orchestrator built on Amazon Bedrock."
observed_at: "2026-10-14"
record_date: "2026-10-14"
date_kind: "observed_at"
why_it_matters: "AWS describes Tamnoon’s Tami, an agentic cloud-remediation orchestrator built on Amazon Bedrock. It ingests findings from CNAPP and cloud-native sources, enriches and prioritizes them, then delegates remediation stages to specialized agents. AWS reports a reduction of more than 90% in critical cloud exposure over 90 days, with zero production issues. These are case-study claims; the supplied sourc"
novelty: "notable"
verification_level: "source-linked"
signal_type: "update"
source_platform: "aws.amazon.com"
topics: []
entities: ["Tamnoon","Tami","Amazon Bedrock","AWS"]
related_patterns: ["agent-security-moves-to-runtime-boundaries"]
source_url: "https://aws.amazon.com/blogs/machine-learning/how-tamnoon-built-ai-powered-cloud-security-remediation-with-amazon-bedrock"
source_urls: ["https://aws.amazon.com/blogs/machine-learning/how-tamnoon-built-ai-powered-cloud-security-remediation-with-amazon-bedrock"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:how-tamnoon-built-ai-powered-cloud-security-remediation-515be0"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/how-tamnoon-built-ai-powered-cloud-security-remediation-515be0/","markdown":"https://newruntime.com/signals/how-tamnoon-built-ai-powered-cloud-security-remediation-515be0.md","json":"https://newruntime.com/signals/how-tamnoon-built-ai-powered-cloud-security-remediation-515be0.json"}
---

# How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock

## Retrieval answer

AWS describes Tamnoon’s Tami, an agentic cloud-remediation orchestrator built on Amazon Bedrock.

AWS describes Tamnoon’s Tami, an agentic cloud-remediation orchestrator built on Amazon Bedrock. It ingests findings from CNAPP and cloud-native sources, enriches and prioritizes them, then delegates remediation stages to specialized agents. AWS reports a reduction of more than 90% in critical cloud exposure over 90 days, with zero production issues. These are case-study claims; the supplied source does not provide independent validation or detailed measurement methodology.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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