How Tamnoon built AI-powered cloud security remediation with Amazon Bedrock
Learn how Tamnoon built Tami, an agentic cloud remediation orchestrator on Amazon Bedrock that autonomously investigates and safely remediates cloud security findings from CNAPP and cloud-native sources. The approach drove a 90%+ reduction in critical cloud exposure in 90 days with zero production issues.
The issue of critical cloud exposures growing faster than security teams can address it is a major challenge. Cloud-native application protection platforms (CNAPP), cloud providers, and posture scanners generate a high volume of findings, far more than any team can handle. This results in critical exposures being left unresolved while risk accumulates over time.
Traditional investigation methods are manual, repetitive, and fear-driven, as teams hesitate to automate remediation due to concerns about production impact. To overcome these challenges, Tamnoon developed Tami, an agentic cloud remediation orchestrator powered by Amazon Bedrock. Tami autonomously investigates findings from CNAPP and cloud-native sources, assesses the safety of remediation, generates and orchestrates the fix, and ensures it doesn't impact production.
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