Birth of the Cool: Bringing Cloud Context to SecOps Teams

Stream Security Named a Cool Vendor: What’s that Sound I Hear?

Stream.Security's recent recognition as a “Cool Vendor for the Modern Security Operations Center” we believe underscores our commitment to revolutionizing the way SecOps teams detect and respond to threats and exposures in the cloud. The difference between traditional, static SecOps tools that were designed for on prem-environment and Stream.Security is similar to the difference between a classical orchestra playing a carefully rehearsed symphony and Miles Davis pioneering the improvisational brilliance of "Birth of the Cool."

Traditional Security Orchestration and Response (SOAR), eXtended Detection and Response (XDR) and Security Information and Event Management (SIEM) solutions, like a classical orchestra, rely on pre-defined structures and established processes. While effective, they often struggle to keep pace with the dynamic and improvisational nature of modern cyberattacks that move laterally in a cloud environment or move across the cloud and on-prem environments.

Stream.Security, on the other hand, brings the agility and adaptability of jazz to cloud security. Our platform, built on the innovative Cloud Twin technology, empowers SecOps teams to adapt and respond to cloud threats in real-time, just like a skilled jazz musician reacting to the ever-changing rhythm of the band.

When combined with technologies like SIEM, XDR, and SOAR, Stream’s Cloud Detection and response capabilities are helping to make SecOps cool again. We feel Gartner® has recognized the role we play in building the modern security operations center, and want to take a minute to explain how we bring cloud context to the SOC in order to harmonize all four phases of the detection and response life-cycle: Prepare, Detect, Investigate, and Respond.

Prepare: Building a Digital Twin of Your Cloud

Stream.Security's core strength lies in its CloudTwin™ technology. This technology goes beyond traditional static scans and log analysis. Here's how it works:

• Continuous Data Collection: Stream.Security continuously collects data from your cloud environment, including configuration settings, user activity, and network traffic.

• Graph-based Modeling: This data is then fed into a graph database, creating a dynamic digital representation of your entire cloud infrastructure. This "Cloud Twin" accurately reflects the complex relationships between various components.

• Attack Surface Analysis: Utilizing graph machine learning, Stream.Security analyzes the Cloud Twin to identify potential vulnerabilities and misconfigurations. This provides valuable insights for hardening your environment before attackers exploit these weaknesses.

Detect: Proactive Threat Hunting with Attack Path Intelligence

Stream.Security's detection capabilities go far beyond simple alerts. Here's how it elevates threat hunting:

• Real-time Event Monitoring: The platform continuously monitors your cloud environment for suspicious activity. This includes analyzing user behavior, network traffic anomalies, and configuration changes.

• Attack Path Simulation: Leveraging the CloudTwin™, Stream.Security simulates potential attack scenarios. This reveals how attackers might exploit vulnerabilities and move laterally within your environment.

• Prioritizing Threats: Instead of being overwhelmed by alerts, Stream.Security prioritizes threats based on their potential impact, helping SecOps teams focus on the most critical issues first.

Investigate: Streamlined Investigations with AI-powered Assistance

Traditional cloud security solutions often leave SecOps teams drowning in data during investigations. Stream.Security brings a new approach:

• Automated Root Cause Analysis: When a potential threat is detected, Stream.Security automatically investigates the root cause. This leverages the CloudTwin™ to identify the affected resources and potential attack paths.

• AI-powered Assistance: The platform's AI assistant aids investigation by suggesting relevant data points and potential next steps.

• Forensics Made Easy: Stream.Security simplifies forensics by providing a timeline of events associated with the incident, allowing clear visualization of the attack progression.

Respond: Expedited Response with Automated Workflows

Rapid response is crucial in mitigating damage from a cloud attack. Stream.Security helps expedite incident response:

• Automated Remediation Workflows: Once the threat is identified and contained, Stream can automatically trigger reconfiguration workflows to address vulnerabilities.

• Collaboration Tools: Stream facilitates collaboration between SecOps and IT teams through integrated communication channels. This ensures everyone involved is on the same page during the response process.

• MTTR Optimization: By streamlining all phases of the incident response cycle, Stream helps significantly reduce Mean Time to Respond (MTTR).

Beyond the Recognition: Real-Time Security for Today's Cloud

Stream.Security's real-time capabilities empower SecOps teams to proactively prepare for attacks, accurately detect threats, investigate efficiently, and respond swiftly. With Stream.Security by their side, SecOps teams can finally gain the upper hand in the ever-evolving battle against cloud threats.

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Ready to experience the power of real-time, cool cloud security? Visit Stream.Security to learn more and request a demo.

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Gartner Disclaimer: Gartner does not endorse any vendor, product or service depicted in its publications, and does not advise technology users to select vendors based solely on their Gartner evaluations. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.  Gartner® and Cool Vendors™ are trademarks and service marks of Gartner, Inc. and its affiliates, and are registered in the United States and internationally. All rights reserved. Gartner, Cool Vendors for the Modern Security Operations Center, By Angel Berrios, Mark Wah, John Collins, Pete Shoard, Andrew Davies, Evgeny Mirolyubov, 5 November 2024