Torq has acquired Jit, a Boston-based cybersecurity company focused on AI Context Graph technology, in a move designed to strengthen the Torq AI SOC Platform and advance enterprise security operations. The acquisition positions Torq to bring more organization-specific context into automated investigations, giving security teams a clearer basis for faster and more precise decisions. By combining Torq’s agentic security operations capabilities with Jit’s contextual intelligence, the company aims to reshape how enterprise security operations centers detect, investigate, and respond to threats.
Strengthening AI-Driven Security Operations
The deal is centered on improving how AI systems understand an organization’s security environment before taking action. Rather than relying only on static information such as users, devices, and asset relationships, Torq says the combined platform will use live contextual data, including business priorities and the real-time state of the enterprise. This approach is intended to help AI-driven investigations move beyond isolated alerts and toward decisions grounded in a current, unified view of risk.
Torq argues that this richer context can make security automation more explainable, consistent, and trustworthy. In practical terms, the company expects the enhanced platform to support higher-confidence actions across investigation, containment, and prevention workflows. For enterprise security teams facing growing alert volumes and increasingly complex attacks, that could reduce delays and help analysts focus on the most urgent risks.
Jit’s Technology and Team Join Torq
Jit brings technology built around AI Context Graphs, which are designed to map security signals against the specific structure, behavior, and priorities of an organization. The company was founded by David Melamed and Aviram Shmueli and later led by CEO Shai Horovitz, who joined after serving as chief revenue officer at Cybereason. Jit had raised nearly $40 million from investors including Boldstart Ventures, Insight Partners, TechAviv, Lama Partners, and Tiger Global.
Torq will also absorb Jit’s team of engineers, architects, and developers as part of the acquisition. The company said this expertise will help accelerate development of its AI SOC platform and expand the depth of its automation capabilities. While financial terms of the transaction were not disclosed in the announcement, the strategic focus is clear: Torq wants to build a more context-aware foundation for autonomous cybersecurity operations.
A Broader Platform for Enterprise SOCs
With Jit’s technology integrated, Torq says its platform will act as a unified intelligence and execution layer across the cybersecurity stack. The system is designed to ingest signals from multiple tools and connect them with information about identities, roles, privileges, asset importance, and data sensitivity. By doing so, Torq aims to give security teams a single decision layer where alerts can be assessed, investigated, and acted on with greater traceability.
This is particularly important as enterprises increasingly look to automate not only repetitive security tasks but also more complex response decisions. Torq says its AI agents are already used by Fortune 500 security teams and handle millions of security tasks autonomously each day. The company lists major global customers across sectors, including Carvana, Dolby, Domino’s Pizza, Hard Rock Cafe, Macy’s, PepsiCo, Procter & Gamble, Prudential, Siemens, Uber, and Virgin Atlantic.
Momentum in the AI SOC Market
The acquisition follows a period of rapid growth for Torq, including a recently announced $140 million Series D funding round that valued the company at $1.2 billion. That financing has given Torq additional resources as demand grows for AI-based security operations tools that can help organizations manage expanding attack surfaces and persistent staffing challenges. In a market where speed and context are increasingly critical, Torq is positioning itself as a provider of agentic AI systems that can support both human analysts and autonomous response.
Torq CEO and co-founder Ofer Smadari described the acquisition as a defining moment for the company and for the future of security operations. He said combining Jit’s AI Context Graph technology with Torq’s platform would create a more proactive cybersecurity defense offering. According to Torq, the combined platform is intended to help enterprises prioritize resources more effectively while improving clarity, adaptability, and protection.
Torq’s acquisition of Jit reflects a broader industry shift toward security platforms that combine automation with deeper organizational awareness. By adding AI Context Graph technology, Torq is seeking to make automated investigations more accurate, explainable, and relevant to each enterprise’s real operating environment. As security teams face faster-moving threats and rising operational pressure, the success of this acquisition will depend on whether the combined platform can deliver measurable improvements in speed, precision, and trust.