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

This article describes how Tamnoon built Tami, an agentic cloud remediation orchestrator on Amazon Bedrock, to autonomously investigate security findings and safely execute fixes across cloud environments.

• Four specialized AI agents handle investigation, safety scoring, remediation planning, and code generation with guardrails
• Amazon Bedrock enables matching each task to the optimal foundation model through a single API
• Bedrock Cross-Region inference automatically routes requests while keeping data within AWS trust boundary
• Defense-in-depth safety architecture includes read-only investigation, backup/verify/rollback steps, and human approval workflows
• Amazon Bedrock Guardrails mask PII, prevent prompt injection, and enforce security policies at the model layer
• Least-privilege IAM roles limit each function to only required permissions and resources
• Achieved 90% reduction in critical cloud exposure within 90 days with zero production issues
• Analyzed 14 million cloud alerts across customer base with 13,000+ hours saved per week

Tamnoon demonstrates how agentic AI with strong safety boundaries can automate complex cloud security remediation at scale without production risk.