Swimlane AI Automation recognized for boosting SOC productivity 240% in first year
Swimlane, AI automation for the entire security organization, today announced its recognition as a leader in the 2024 Penetration and Maturity (PeMa) Quadrant for GenAI-powered SOC Analyst Platforms by AIM Research. Of the 15 vendors evaluated, Swimlane Turbine rivals industry giants and exceeds the capabilities of legacy hyperautomation solutions.
“With Turbine, we’re harnessing telemetry across diverse security technologies and insights from thousands of active users to train models that drive innovation and ultimately bring organizations closer to autonomous security operations.”
Leading vendors in the PeMa Quadrant demonstrate exceptional market demand, a proven history of success across diverse sectors, and expertise in delivering cutting-edge, comprehensive solutions. The analysis considers factors such as company growth, the launch and impact of GenAI-powered cybersecurity platforms, ease of use, integration capabilities, and customer confidence.
Also Read: Shinami Raises $5.645 Million in Seed Funding to be the Consensys for Move
“Swimlane has redefined what’s possible for our SOC team,” said Tracey Webb, Director of Information and Cybersecurity Operations at Global Data Systems. “In just a short time, Turbine has helped us close over 5,000 cases and effectively added the equivalent of 20 virtual SOC analysts to our team. The platform’s AI capabilities streamline complex tasks, allowing our analysts to focus on decision-making with relevant data delivered in an easily digestible format. It’s empowering to see our team evolve into more powerful analysts and engineers.”
Swimlane Turbine: AI Automation for the Autonomous SOC North Star
Swimlane delivers AI automation solutions to help organizations achieve their autonomous SOC goals. Swimlane Turbine is built with the flexibility and cloud scalability needed for organizations to automate any SecOps process, from SOC workflows to vulnerability management, compliance, and beyond. Swimlane’s Hero AI, the ultimate GenAI SecOps companion, empowers security teams to take decisive action against even the most complex cases, alerts and intelligence at unprecedented speed.
“At Swimlane, we’re pushing the boundaries of what’s possible for security operations, laying the foundation for a near future where autonomous SOCs become a reality,” said James Brear, CEO of Swimlane. “With Turbine, we’re harnessing telemetry across diverse security technologies and insights from thousands of active users to train models that drive innovation and ultimately bring organizations closer to autonomous security operations.”
Turbine was recognized for the platform’s AI-augmented reporting, which enables one-click preparation of stakeholder-ready after-action reports. Its AI-enhanced features, including case summarization, recommended actions, crafted prompts, text-to-code functionality, and schema inference tools, were highlighted for helping SOC teams achieve productivity increases beyond automation alone. The report also emphasized the Turbine Canvas automation-building studio, which allows users to leverage AI and no-code features to create playbooks three times faster than possible with SOAR technologies. Lastly, Swimlane’s proprietary LLM was recognized for keeping organizational data private and secure, underscoring the platform’s commitment to data protection.
The report highlighted standout outcomes customers gain from using Turbine, including:
- Time-saving AI capabilities: Reduces task time by 10 minutes per AI prompt, enhancing efficiency.
- Lightning-fast script generation: Creates complex Python scripts within seconds, accelerating development processes.
- ROI for enterprises: Delivers a 240% return on investment within the first year.
A recent TAG Cyber report found that Swimlane Turbine can boost productivity by 20%, above automation alone, potentially eliminating the need for costly consultants and delivering significant cost savings.
Also Read: CIO Interview Featuring Arpan Sarkar, Senior Security Engineer at Vectra AI
[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]
