Tamnoon Builds AI Cloud Security Remediation Agent on Amazon Bedrock
What happened
FAQ
What is Tamnoon's Tami platform?
It is an agentic cloud remediation platform built on Amazon Bedrock that investigates security findings from CNAPP tools and cloud-native sources, then executes safe remediation actions automatically instead of relying entirely on manual work.
What results did Tamnoon report?
According to the source, the approach drove a 90%+ reduction in critical cloud exposure within 90 days, with zero production issues reported.
Is this relevant to security teams in the Middle East?
Yes. The approach addresses a shared problem for regional enterprises and governments: alert overload and a shortage of specialized security staff. Adoption still requires tight permissions, human review of sensitive actions, and compliance with local data protection rules.
How does agentic remediation differ from traditional automation?
Traditional automation runs fixed pre-defined rules, while an agent examines context, prioritizes, and proposes or executes remediation steps suited to each case — closer to an always-on security investigation assistant.
Source: AWS Machine Learning
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