"It's an artificial intelligence context graph that can understand business relations between different assets from identity to endpoints to different types of alerts, and understand the real context in real time," Torq co‑founder and CEO Ofer Smadari said, summing up why his company bought Boston‑based Jit.
Torq's acquisition of Jit: personnel, financing and terms
New York‑based security operations vendor Torq purchased Jit, a context graph startup founded in 2021. Jit raised $38.5 million in a June 2022 seed round led by Boldstart Ventures. Thirty‑three Jit employees will join Torq, including co‑founder and CTO David Melamed. Since May 2023 Jit has been led by Shai Horovitz, who spent nearly eight years at endpoint security firm Cybereason.
Torq did not disclose the purchase price; Business Insider reported Torq planned to pay $50 million. Smadari described the acquisition as a capability play to give Torq’s security automation tools an immediate, continuously updated map of relationships inside customer environments.
Jit's context graph: access patterns, entitlements and historical memory
Smadari described Jit's product as a context graph that continuously tracks access patterns, entitlements and asset history to surface relationships between users, endpoints, identities, alerts and privileges. Rather than treating identical alerts as equal, the graph aims to attach business significance to an event by factoring in who or what is involved and what that actor’s prior behavior and privileges look like.
According to Smadari, the graph learns over time: histories, privileges, access patterns, entitlements and relationships between assets are retained without the system repeatedly querying external systems. He said the graph can "learn their environment, learn their assets, learn their history, learn their privilege access entitlements, logins without us needing to query your scene, query your vendors or query your data link."
Alert triage and case management: stopping noise at the gate
Torq plans to fold Jit’s contextual intelligence into alert triage, autonomous investigations, workflow automation and case management. Torq currently ingests alerts from dozens of security tools and autonomously investigates and classifies many of them; Smadari said Torq today reduces alert noise by about 70% through autonomous triage and investigation.
With the context graph in place, Smadari predicted that reduction rate will "jump to like 88%" or "nearly 90%," because agents will be able to probe prior incidents, user behavior, access privileges and historical outcomes before assigning a verdict. He framed the goal plainly: "Everything that we are building today with context will help organizations learn a lot faster and stop alerts at the gate of the alert triage phase."
On case management, Smadari said the platform will continuously learn from historical incidents and analyst decisions. If an analyst previously labeled a pattern a false positive, the context graph will remember that decision and prevent similar alerts from escalating unnecessarily in the future, creating a feedback loop between case outcomes and future triage.
AI agents and "Cursor for security": how Torq expects to operationalize context
Torq is increasingly driven by AI agents that conduct investigations, automate workflows and resolve incidents with minimal human intervention. Smadari said Jit's context graph will make those agents more powerful by giving them immediate access to a continuously updated understanding of an organization's assets, users, relationships and prior incidents.
"We are going to release soon what looks like Cursor for security," Smadari said, describing a component where users can "build full security operation agents with prompting, and it's working amazingly in production in minutes." Torq intends to connect Jit's graph to that component and to other elements of its architecture so agents can act with deeper environmental awareness.
What this means for technologists, procurement leaders, and security teams
- Technologists and security teams: Expect a toolset that embeds historical context—entitlements, access patterns and prior incident outcomes—directly into triage and automation, with the stated aim of reducing false positives earlier in workflows.
- Procurement and platform owners: Torq positions itself as a replacement for legacy alert triage and case management in roughly 70% of customer deals; Smadari said remaining customers are typically highly cloud‑native organizations that deliberately avoid monolithic security platforms and use Torq alongside selected third‑party tools.
- Operational analysts: The platform is designed to learn from analyst verdicts so that false positives are less likely to re‑escalate, folding human decisions back into automated triage.
Torq’s purchase of Jit stitches a continuous context layer onto an automation platform that already claims substantial noise reduction. The company says a near‑term product release—what Smadari called a "Cursor for security"—will expose that context to AI agents in production. Two concrete questions remain on the public record: whether the undisclosed deal price matches Business Insider’s reported $50 million, and whether Torq’s forecasted improvement from roughly 70% to nearly 90% noise reduction will materialize in diverse customer environments.
Source: GovInfoSecurity — Torq Purchases Jit to Provide AI‑Powered Security Context
