Amazon's New AI Fixes Cloud Security Flaws Automatically

Cloud security teams are overwhelmed by thousands of alerts about misconfigurations and vulnerabilities. Most findings never get fixed because investigating each one takes hours, and fixing them risks breaking live systems. Tamnoon, a security company, built an AI assistant called Tami that works with existing security tools to automatically investigate, prioritize, and fix these issues. Tami uses four specialized AI agents on Amazon Bedrock to handle different parts of the remediation process, from deep analysis to quick validation.

The AI works by first ingesting findings from security scanners, then enriching them with context about the affected assets. It assesses whether a fix is safe to apply without disrupting production. If safe, it generates and executes the fix with guardrails. This all happens before anything touches the live environment, making automated remediation trustworthy. In a test, Tami reduced critical cloud exposures by over 90% in 90 days with zero production issues.

Tamnoon chose Amazon Bedrock because it allows each AI agent to use the best foundation model for its task—some need deep reasoning, others need speed and low cost. Bedrock also handles scaling automatically and keeps sensitive customer data within Tamnoon's secure AWS environment. This means businesses can fix cloud security gaps faster and cheaper, without hiring more security engineers. The AI doesn't replace humans but handles the repetitive work, letting experts focus on complex threats.

For everyday people, this means the cloud services they use—from banking to social media—could become more secure. Companies can respond to vulnerabilities quicker, reducing the risk of data breaches that expose personal information. While the AI is designed for cloud security, it shows how AI can automate tedious, high-stakes tasks in other industries too.