Torq company profile: valuation, funding & revenue

This Torq company profile covers the company's valuation, revenue, funding rounds, investors and history. Torq works in cybersecurity, with a focus on security operations automation. It was founded in 2020 and is headquartered in New York, United States and Tel Aviv, Israel. Its latest valuation on record is US$1.2 billion (January 2026). Every figure links to a public source, and anything the company hasn't disclosed is marked as such.

Revenue

Funding history

Torq timeline

Key dates from the sources on this page, oldest first. Metric snapshots are listed after the funding events.

• 2020 — Torq is founded in New York by Ofer Smadari (CEO), Leonid Belkind and Eldad Livni.
• Jan 2026 — Series D: US$140M, valuing the company at US$1.2B. Investors: Merlin Ventures (lead).

Investors

Overview

Torq builds software that automates security operations using AI. Security operations centres (SOCs) are overwhelmed by alerts from dozens of tools, and analysts spend much of their time on repetitive triage. Torq's platform, which it calls hyperautomation, connects to security tools and automates investigation and response workflows. Its newer AI agents, which it markets as an "AI SOC" capability, aim to handle much of the triage and investigation work that human analysts would otherwise do, escalating only cases that need human judgement.

Torq was founded in 2020 by Ofer Smadari, Leonid Belkind and Eldad Livni, who previously founded Luminate Security, a zero-trust access company acquired by Symantec in 2019. It operates from New York and Tel Aviv. In January 2026 Torq raised a US$140 million Series D led by Merlin Ventures at a US$1.2 billion valuation, according to SiliconANGLE.

Products

• Hyperautomation platform: no-code and low-code workflows that connect hundreds of security and IT tools.
• AI agents: autonomous agents that triage alerts, investigate incidents and recommend or take actions.
• Case management: tracking incidents and collaboration between analysts and AI.
• Integrations: connections to SIEM, endpoint, identity, cloud, email and ticketing systems.

Funding

Torq raised seed funding in 2020 and 2021 from investors including GGV Capital and Bessemer Venture Partners, a US$50 million Series B led by Insight Partners in 2022, and a US$70 million Series C led by Evolution Equity Partners in 2024. In January 2026 it raised US$140 million in a Series D led by Merlin Ventures, valuing it at US$1.2 billion, as reported by SiliconANGLE. Merlin Ventures focuses on cybersecurity companies serving government and enterprise customers, and the company said it would use the money to scale its AI capabilities and expand into public sector markets.

Business model

Torq sells annual subscriptions to enterprises and managed security service providers, priced by usage and features. Larger contracts include AI agent capabilities. Managed security service providers use Torq to serve many clients efficiently, which can expand Torq's reach.

Competition

Torq competes with Tines; with SOAR products from Palo Alto Networks, Splunk (Cisco) and Google; with AI SOC startups such as Dropzone AI, Prophet Security and others; and with security platforms adding AI assistants. Its differentiation is the combination of mature workflow automation with autonomous AI agents.

Torq at a glance

Torq is a security automation company founded in 2020 by Ofer Smadari, Leonid Belkind and Eldad Livni, the founders of Luminate Security. It operates from New York and Tel Aviv. Its hyperautomation platform and AI agents automate security operations. It raised a US$140 million Series D led by Merlin Ventures at a US$1.2 billion valuation in January 2026.

Timeline

• 2019: Luminate Security, the founders' previous company, is acquired by Symantec.
• 2020: Torq is founded.
• 2022: raises a US$50 million Series B.
• 2024: raises a US$70 million Series C; launches AI agent capabilities.
• January 2026: raises US$140 million at US$1.2 billion.

What an AI SOC does

In a traditional SOC, alerts from security tools land in a queue. Analysts open each one, gather context from other systems, decide whether it is a real threat and respond. AI SOC tools aim to automate this entire loop. An AI agent receives an alert, queries relevant tools, correlates evidence, assesses risk, writes a summary and either closes false positives or escalates real threats with a recommended response. Humans supervise and handle complex cases. The potential benefit is large: faster response, less analyst burnout and the ability to investigate every alert rather than a sample.

From automation to autonomy

Earlier security automation relied on predefined playbooks: if a certain alert arrives, perform specific steps. This works well for predictable tasks but struggles with novel situations. AI agents can reason about unfamiliar cases, deciding which data to gather and what it means. Torq combines both: deterministic workflows for actions that must be reliable and auditable, and AI agents for judgement-heavy investigation. Security teams remain cautious about letting AI take disruptive actions, such as isolating servers, without human approval, so governance features are important.

Israel's cybersecurity ecosystem

Torq is one of many cybersecurity companies with roots in Israel, a country that has produced a remarkable number of security startups, often founded by veterans of military intelligence units and previous successful companies. Repeat founders like Torq's team benefit from experience, investor networks and the ability to hire quickly. Our guide to cybersecurity unicorns covers many Israeli-founded companies.

Who funds Torq

Torq's investors include Merlin Ventures, which led its Series D, along with Evolution Equity Partners, Bessemer Venture Partners, GGV Capital and Insight Partners.

Who uses Torq

Torq's customers include large enterprises in financial services, technology, retail and healthcare, as well as managed security service providers.

Valuation context

Torq's unicorn valuation reflects investor enthusiasm for AI applied to security operations, one of the most active areas of cybersecurity investment. Our guide to cybersecurity unicorns compares it with peers.

Risks

• Crowded market: many AI SOC startups and platform vendors compete.
• Trust in AI: customers may be slow to let AI act autonomously.
• Platform bundling: large security vendors can bundle automation for free or cheaply.

Questions for buyers

• What share of alerts can AI agents resolve without human input?
• How are AI decisions explained and audited?
• Which tools does it integrate with?
• What controls govern automated response actions?

A typical alert, handled by AI

An endpoint tool raises an alert about a suspicious process on an employee's laptop at night. Torq's AI agent picks it up, checks the process against threat intelligence, looks at the user's recent logins in the identity system, reviews network connections from the laptop and checks whether similar activity appears elsewhere. It finds that the process matches known malware and that the laptop has contacted a suspicious server. Following the organisation's policy, the agent isolates the laptop, disables the user's sessions, opens a case with a timeline and summary, and notifies the on-call analyst. The analyst reviews the evidence in the morning and confirms the actions. Without automation, the alert might have waited hours in a queue.

What to watch

Watch AI agent adoption, public sector expansion, partnerships with managed security providers and competition from platform vendors.

Takeaways

Security teams can use AI agents to handle alert overload. Founders can see how repeat founders raise quickly in hot categories. Investors should watch how crowded the AI SOC market becomes.

Sources

Every figure on this page comes from the public sources below. Where sources disagreed, we used the company's own announcement or a primary news report. Private-company data changes; check the date beside each figure.

1. SiliconANGLE