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Stream.Security, the leading provider of real-time cloud detection and response solutions, has been recognized as a Cool Vendor in the Gartner® report, “Cool Vendors™ for the Modern Security Operations Center."

We are thrilled to announce that Stream Security has officially attained the Amazon Web Services (AWS) Security Competency status. This prestigious recognition validates our proven technology and expertise in aiding customers to fulfill their cloud security objectives.

Offering unparalleled protection for sensitive information. Discover and safeguard your data at scale, effortlessly manage human and non-human access permissions, and ensure compliance through real-time alerts and robust Data Access Policies.

AWS Config offers basic capabilities for change management in small AWS environments but has limitations when it comes to complex and dynamic environments. You can consider Stream Security as a more capable, scalable and cost-effective alternative to AWS Config. Stream Security saves your teams cycles with effective root-cause & impact analysis, prioritized & customizable rules and real-time capabilities with runtime events. You can gain these benefits in a predictable and cost-effective way.

Explore how Stream Security can help you gain control over existing cross account connections and design risk free configuration changes...

Service Control Policies (SCPs) in AWS offer a robust mechanism for preserving security standards, which is essential for compliance and averting security breaches.

Nobody likes surprise increases in their AWS bill. To help you avoid surprise bills, we just released our AWS cost anomaly detection capability. This capability is designed to help you stay on top of your evolving AWS costs, and alert you when there are anomalies compared to previous spend.With AWS cost anomaly detection, you can always remain in control of your cloud spending and can take action to optimize your resources whenever necessary.

Engineering teams are increasingly relying on Kubernetes for development and production workloads. When we combine Kubernetes with the cloud layers and all the inter and intra dependencies between, we get an extremely complex set of infrastructure under our control. Taking into account K8S workloads and Cloud changes is a complex process.

Using this capability, we allow cloud operation teams to incorporate their tribal knowledge into our system in the form of predefined and custom rules to ensure the collective experience of the team is taken into consideration for any configuration change at any time.

The new Lightlytics Atlantis integration enables the run the of a terraform impact analysis simulation as an Atlantis workflow, a new comment from Lightlytics will appear on every pull request with a full terraform impact analysis of the proposed change.