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Torq announced a $70 million Series C on September 24, 2024, led by Evolution Equity Partners, to expand its security-operations business and invest in generative AI. The round brought the company’s reported 2024 funding to $112 million when combined with a $42 million expanded Series B announced in January—not $112 million in a single financing. The announcement is historical: Torq’s news index now lists a later $140 million funding announcement dated January 12, 2026.
What Torq announced in September 2024
Torq said Evolution Equity Partners led its $70 million Series C, with Bessemer Venture Partners, Notable Capital, Greenfield Partners, and Strait Capital participating. Evolution Equity described its investment as a follow-on. The announcement did not disclose Torq’s valuation, investor ownership, dilution, liquidation preferences, or any debt-equivalent component, so the round size alone cannot establish what the company was worth.
The financing was positioned as fuel for expansion in Europe, the Middle East and Africa (EMEA) and Asia-Pacific (APAC), hiring in engineering, research and development, and sales, and further development of generative-AI capabilities for security operations. Those were management’s stated plans; the announcement by itself does not show how the money was ultimately spent or what outcomes it produced. Torq’s Series C announcement
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How the $112 million figure adds up
Torq’s $112 million figure referred to funding it said it raised during calendar year 2024, not the amount of its Series C. The company’s January announcement concerned an expanded Series B; the September announcement was a separate Series C.
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| Figure | What it represented |
|---|---|
| $42 million | Expanded Series B announced in January 2024 |
| $70 million | Series C announced September 24, 2024 |
| $112 million | Torq-reported 2024 total: $42 million plus $70 million |
| $192 million | Torq-reported cumulative funding since its 2020 founding, as of the September 2024 announcement |
The company’s January update also reported 300% revenue growth and 200% employee growth in 2024. Those are company-reported figures, published after the Series C, not audited financial disclosures. Torq’s 2024 growth announcement
What the platform does
Hyperautomation: connecting security tools and workflows
Torq uses “Hyperautomation” for a cloud-native platform that connects security products and automates work across them. In practical terms, a workflow can gather context from tools such as identity, endpoint, ticketing, and security-information systems; enrich and prioritize an alert; route it into a case; and initiate a response. Torq says users can describe workflows in natural language and combine agentic AI with deterministic, repeatable steps. “Hyperautomation” is Torq’s product positioning, not a universally standardized technical category. Torq Hyperautomation
HyperSOC as described in 2024
In the Series C announcement, Torq described HyperSOC as a security-operations product built on its Hyperautomation Platform. It said the product used natural-language processing to accelerate investigation, triage, and remediation, alongside case management and automation of complex processes. That description captures the product framing at the time; it should not be conflated with Torq’s later AI SOC branding.
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Torq’s current site presents a broader AI SOC Platform, including current offerings called Socrates and SOC Brain. The labels and capabilities on today’s site should not be retroactively treated as the exact product announced in 2024. Torq AI SOC Platform · Torq homepage
Where AI may help—and what buyers need to verify
AI-assisted triage and investigation may help analysts assemble context and move routine cases through a response process more quickly. The defensible claim is that Torq was investing in automation intended to reduce analyst workload and accelerate investigation and response—not that generative AI alone guarantees better security outcomes. Deterministic workflows can make defined steps repeatable, while agentic behavior may be useful for tasks involving context or variation. High-impact actions still require controls suited to the organization’s risk.
Before connecting an AI-enabled automation platform to production systems, buyers should test how it behaves under realistic failures and constrain its permissions. Useful evaluation questions include:
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- Which actions can an agent take on its own, and which require approval?
- Can analysts inspect and audit the prompts, tool calls, evidence, and decisions behind an investigation?
- Can high-risk or irreversible actions be restricted to deterministic workflows, approval gates, or a kill switch?
- How are customer data isolation, retention, model providers, and processing regions handled?
- How does the system resist prompt injection in alerts, emails, tickets, or web content, and how are model or prompt changes governed?
- What happens if an API, identity provider, SIEM, or ticketing integration fails halfway through a response?
- Can teams test changes in a sandbox, roll back actions, and export workflows and case data if they switch platforms?
- How will the buyer measure analyst hours saved, response time, false positives, and unsafe automation?
These are due-diligence questions, not claims that Torq has experienced those failure modes. They apply broadly to security automation: stale enrichment data, excessive permissions, partial API failures, silent actions, and poorly defined response procedures can make automation amplify mistakes as well as reduce manual work.
What the traction claims establish—and what they do not
Torq said it had more than tripled revenue and customer growth for the second consecutive year, reported growth among Fortune 500 customers, and set a $100 million ARR target for 2026. The target was an ambition announced in 2024, not evidence that Torq reached that level. The company also named customers including Abnormal Security, Armis, Blackstone, Carvana, Check Point, Chipotle, Deepwatch, Lemonade, Lennar, Nubank, Rivian, SentinelOne, Telefónica, Wiz, and ZoomInfo. These are company-reported customer and growth claims, not audited results or a measure of how broadly each customer uses the platform. Torq’s announcement
The release included a Check Point CISO testimonial describing HyperSOC investigating, triaging, and remediating many internal alerts without human intervention. The example included initiating an MFA challenge or locking out a suspicious user when predefined organizational policies were met. That illustrates a possible workflow, but it is a customer testimonial published by Torq, not independent performance testing. Torq’s current demo page also hosts customer claims, including Abnormal Security’s statement that querying more than 2,000 assets took under seven minutes instead of more than an hour; this, too, is vendor-hosted testimony. Torq customer testimonials
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.How to compare Torq with other security-automation options
Torq is most plausibly relevant to larger organizations with high alert volumes, established incident procedures, and a broad security-tool estate to connect. Its fit depends less on an AI label than on integration quality, governance, case management, deployment constraints, implementation needs, and total cost. It is not a replacement for a SIEM, endpoint detection, or email security product when the buyer’s actual gap is detection rather than orchestration.
| Option | Potential reason to evaluate it | Pricing information available publicly |
|---|---|---|
| Torq | Cloud-native orchestration, workflow construction, case-management functions, and agentic alongside deterministic automation. | An AWS Marketplace listing showed $450,000 for a 12-month listing for each of Torq Essential, Enterprise, and Elite in an August 18, 2026 search result. The listing says pricing depends on contract duration and entitlements and additional AWS infrastructure costs may apply; this is a marketplace-specific signal, not a universal direct list price. AWS Marketplace listing |
| Palo Alto Networks Cortex XSOAR | Worth comparing for organizations already standardized on Palo Alto Networks and those prioritizing its established SOAR and content-pack ecosystem. | Official product pages direct buyers toward sales engagement rather than publishing a list price. Cortex XSOAR · Marketplace and integrations |
| Swimlane | Offers its own enterprise automation and AI capabilities, with published packaging bands that may help structure evaluation. | Packaging describes tiers and action-per-day/user bands, but says pricing varies by deployment and directs buyers to contact sales. Swimlane enterprise packaging |
| Splunk security and SOAR ecosystem | May suit teams already invested in Splunk data, detection, and security workflows. | Splunk describes workload, ingest, and entity pricing models but directs buyers to a pricing expert for product-specific estimates. Splunk pricing |
For any vendor, clarify whether the contract is priced by users, cases, actions, data volume, integrations, agent executions, or another metric; whether connectors and professional services are included; and what deployment and data-residency choices are available. Compare platforms with the same representative workflows and success measures rather than assuming the largest integration count or most ambitious AI claim predicts operational value.
The 2024 announcement in context
The financing matters as a signal of Torq’s plan to invest in international reach, hiring, and AI-enabled security operations, but funding and investor participation do not prove product effectiveness or category leadership. Torq’s own news index lists a later $140 million funding announcement dated January 12, 2026, so the September 2024 Series C and its $112 million calendar-year total are historical figures, not a current statement of Torq’s financing. The later listing is not enough on its own to establish the details or terms of that financing. Torq news index
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