Torq Acquires Jit to Strengthen AI SOC Context

Torq, an agentic security operations provider, has announced the acquisition of Jit, a Boston-based AI Context Graph cybersecurity company. 

The company says the move signifies a major leap forward for the Torq AI SOC Platform by ensuring agentic investigations are informed via organization-specific contextual data.

Offering a deeper understanding for SOCs

Channel Insider spoke with Torq CEO Ofer Smadari, who emphasized that the Jit acquisition marks a major step forward in the company’s mission to define the “AI SOC era” by enabling not just isolated event analysis, but true, organization-aware decision-making capabilities.

“At Torq, we’ve already proven that agentic AI can transform security operations at enterprise scale. But as we looked ahead, it became clear that the next major leap in the AI SOC wasn’t just about faster automation or more agents—it was about deeper understanding,” said Smadari.

“That’s what made Jit such a powerful fit. Jit built groundbreaking AI Context Graph technology that gives AI systems a continuously evolving understanding of how an organization actually operates: its identities, business priorities, privileges, workflows, sensitive assets, and operational patterns. That was the missing layer the industry needed.”

The ‘living intelligence layer’ that goes beyond traditional mapping capabilities

Smadari explained that integrating Jit’s AI Context Graph into the Torq AI SOC platform enables it to function as a living intelligence layer for the enterprise. 

Unlike traditional solutions that primarily map users or cloud assets, the platform can understand relationships, real-time business impact, and operational importance.

“For example, the platform understands whether a compromised identity belongs to a contractor or a privileged finance executive, whether an affected workload supports a critical revenue-generating application, whether sensitive customer data is exposed, or whether certain remediation actions would disrupt business continuity,” Smadari said.

Jit joins Torq’s AI SOC platform

Jit was founded by technologists David Melamed and Aviram Shmueli and backed by nearly $40 million from Boldstart Ventures, Insight Partners, TechAviv, Lama, and Tiger Global. 

Under the leadership of Shai Horovitz, who took over as CEO in 2023 after serving as CRO at Cybereason, Jit assembled a team of engineers, architects, and developers focused on advancing contextual cybersecurity capabilities.

With the integration, Torq says its AI SOC Platform now operates with a unified, continuously updated contextual inference layer, enabling decisions that are not only explainable but also grounded in a single, up-to-date source of truth.

This reflects not only organizational assets, but also procedural data inferred from how an organization’s security operations are conducted. 

According to Torq, this results in faster, higher-confidence actions that drive stronger outcomes, including the ability to move toward autonomous containment and threat prevention with greater confidence.

The role of human analysts in agentic SecOps

With Torq’s AI SOC platform being strengthened through the integration of Jit’s AI Context Graph, we asked Smadari where he believes human analysts remain critical in security operations.

In response, he highlighted how the growing integration of AI agents across enterprises will drive two major shifts: humans will increasingly focus on high-level decision-making, while also taking on a larger role in governing and regulating AI within business operations.

“I believe the role of the analyst becomes more strategic, not less important. AI agents are extraordinarily effective at handling repetitive workflows. But humans remain essential in areas that require judgment, creativity, business alignment, and adversarial thinking. Analysts will increasingly focus on complex incident leadership, threat hunting, and understanding how emerging attack techniques intersect with organizational risk. They will also play a critical role in shaping AI behavior—defining policies, guardrails, escalation paths, and operational priorities,” Smadari said.

“At Torq, we don’t see the future SOC as humans versus AI. We see it as humans operating at a much higher level because AI has eliminated the operational drag that has historically buried teams under repetitive work,” he emphasized.

Future plans: Continuing to build an operational AI SOC

Asked whether customers and partners should expect similar integrations in the near future, Smadari answered in the affirmative, describing the Jit acquisition as part of a broader strategy to deepen the platform’s intelligence, reach, and execution capabilities.

“Absolutely. Torq’s vision has always been much larger than building another security automation platform. We are building the operational foundation for the AI SOC era,” Smadari said.

“Customers should expect continued expansion across integrations, agentic workflows, ecosystem partnerships, and AI-driven operational capabilities. That means tighter integrations with leading security technologies, expanded autonomous response capabilities, richer contextual awareness, and new ways for organizations to operationalize AI safely and effectively.” 

To conclude, Smadari explained that Torq’s rapid pace of innovation is largely driven by the cybersecurity market’s fast-evolving landscape, particularly as more vendors attempt to consolidate security operations tools into unified platforms.

“We’re moving aggressively because the market is moving aggressively. The future of SecOps will belong to platforms that can combine reasoning, execution, governance, and organizational context into a single cohesive system—and that’s exactly where Torq is headed.”

Earlier this year, Torq launched Agentic Builder, an extension that enables SOC teams to turn natural-language intent into AI-driven security workflows and agents. Learn more about how the builder empowers engineering teams and maximizes agentic technology in SOCs.