Torq, a cybersecurity company, has acquired the startup Revrod to enhance its AI-driven security operations center (SOC) capabilities. The acquisition integrates Revrod’s multi-agent Retrieval-Augmented Generation (RAG) advancements into Torq’s flagship product, Torq HyperSOC-2o. Ofer Smadari, co-founder and CTO of Torq, said, “With this integration, and based on enterprise customer feedback, we’re confident Torq is 1.5 years ahead of our competition in delivering true autonomy for security operations.
The technology fundamentally changes what’s possible in a SOC.
The enhanced Torq HyperSOC aims to relieve overwhelmed security operations teams facing high-volume cyberattacks. It provides a detailed data trail, offers root cause analysis, and reduces investigation time by up to 90%. This allows SOC teams to handle three to five times more alerts without increasing headcount or sacrificing performance.
Revrod, founded in 2023, employs roughly 10 people and has remained in stealth mode since its inception.
Torq integrates Revrod AI technology
Noam Cohen, who joined Revrod in April 2023 as chief product and technology officer, will now lead the team under Torq.
The integration of Revrod’s capabilities is expected to transform typical security workflows from a series of steps requiring human input to a streamlined process driven by AI actions completed autonomously. Clients are already deploying the new AI infrastructure in production environments. Smadari highlighted, “Things will be smarter, faster, and help our customers deal with new attacks and weekly use cases with fewer resources.
We have technology that can work for our customers all day, completely online.
Looking ahead, Torq plans to debut customizable, intelligent agents that customers can create using plain English instructions. This represents the next frontier in autonomous SOC technology. With the acquisition of Revrod, Torq expects to reduce the time it takes users to build and deploy use cases, increase the number of incidents an analyst can handle per hour, cut the average time to resolve common incidents, and minimize the time users spend correcting AI output.
This move signals a leap forward in the capabilities of AI SOCs, bringing Torq closer to delivering fully autonomous, intelligent security operations to its customers.
Image Credits: Photo by Desola Lanre-Ologun on Unsplash
Cameron is a highly regarded contributor in the rapidly evolving fields of artificial intelligence (AI) and machine learning. His articles delve into the theoretical underpinnings of AI, the practical applications of machine learning across industries, ethical considerations of autonomous systems, and the societal impacts of these disruptive technologies.
