

Torq raised $140M at a $1.2B valuation to scale its AI-driven security operations platform, automating alert triage and response for enterprises.
Torq, an Israeli cybersecurity firm, has closed a fresh $140 million funding round that lifts its valuation to roughly $1.2 billion, officially pushing it into unicorn territory. The financing was reported as a Series D round led by Merlin Ventures, with participation from multiple existing investors. With this raise, Torq’s total funding has been reported at about $332 million.
Beyond the headline numbers, the deal signals rising investor confidence that AI-native security platforms—especially those centered on autonomous agents—are likely to shape how modern security operations evolve over the next few years.
Torq builds an autonomous security operations platform designed to reduce the amount of repetitive, manual work security teams handle every day. Instead of treating AI as a small add-on to older security tools, Torq positions AI agents as the “engine” that drives investigations and workflows from start to finish.
In practical terms, the platform is built to constantly run the routine steps that slow teams down: organizing incoming alerts, enriching them with context, connecting related signals across tools, and pushing tasks into the right security systems. By removing that busywork, security analysts can spend more of their time on truly high-risk incidents that need human judgment.
For many companies, security operations centers (SOCs) face nonstop alert volume from endpoint tools, cloud security products, identity systems, and network monitoring—often creating alert fatigue and increasing the odds that real threats get buried in noise. Torq’s approach uses AI to interpret and prioritize alerts automatically, decide which items actually require attention, and support consistent triage.
Where organizations allow it, the platform can also execute pre-approved actions—such as blocking suspicious behavior, opening tickets, collecting more telemetry, or triggering additional checks—so response steps don’t stall when teams are understaffed or overloaded. The goal is to make detection and response faster, more standardized, and less dependent on always having scarce specialist talent available at the exact moment an incident hits.
This funding arrives at a time when enterprises are trying to defend against more sophisticated attacks while also dealing with a widely discussed shortage of skilled security professionals. That combination is pushing demand toward automation-heavy platforms that can reduce cost, improve speed, and make day-to-day SOC performance more predictable.
With the new capital and a higher valuation, Torq plans to accelerate product development and expand adoption among large organizations running complex security environments. The company has also positioned itself as part of an “AI-first” wave of security vendors that expect future SOCs to operate with autonomous systems working alongside human experts, rather than relying on heavily manual processes.