Tamnoon released Tami, an AI-powered cloud remediation orchestrator, on Amazon Bedrock, saying it autonomously investigates and fixes cloud security findings. It is the company's first cloud security remediation update since its initial platform launch.
Tamnoon reported a 90% reduction in critical cloud exposure in 90 days, measured on a security remediation effectiveness benchmark. That compares with previous manual remediation methods that failed to address exposures at scale.
Tami is built on Amazon Bedrock and targets cloud security remediation for AWS, Azure, and Google Cloud environments. Availability begins with a public preview, initially for enterprise customers.
"Tami autonomously investigates findings ingested from CNAPP and cloud-native sources and assesses whether remediation is safe," said Tamnoon's lead engineer. The approach drove an over 90 percent reduction in critical cloud exposure in 90 days with zero production issues.
The announcement follows a growing demand for automated cloud security tools. Tamnoon did not say how the platform handles complex multi-cloud environments, and it raised the question of how to scale remediation across different cloud providers.
The company said it will continue to refine the platform based on user feedback.
Source: awsml
