Connect with us

Hi, what are you looking for?

AI Cybersecurity

Torq Secures $140M in Series D Funding to Expand AI-Powered Cybersecurity Platform

Torq secures $140 million in Series D funding to enhance its AI SOC platform, elevating its valuation to $1.2 billion amid rising cybersecurity demands.

Torq has secured $140 million in a Series D funding round aimed at enhancing the adoption of its security operations center (SOC) platform among global enterprises and government entities. The announcement was made on Sunday, January 11, in a press release from the company.

The Torq AI SOC Platform employs artificial intelligence agents to manage a range of security tasks, according to the statement. This latest funding round elevates Torq’s total capital raised to $332 million and lifts its valuation to $1.2 billion. Leading the investment was Merlin Ventures, a cybersecurity fund that will facilitate access to both commercial and public sector markets across the United States, as per the release.

“We have achieved tremendous revenue growth, with Fortune 100 customers adopting our AI agents in their SOCs for everything from investigation to response,” said Ofer Smadari, CEO and co-founder of Torq. He added that the partnership with Merlin Ventures signals that Torq is poised to scale its customer success into the high-stakes federal and public sector markets.

The Torq AI SOC Platform is designed to detect and respond to security events at scale. Key features include AI agents that immediately triage low-fidelity alerts, allowing human analysts to concentrate on verified, high-impact threats. The platform also offers a self-service agentic capability, enabling customers to develop their own agents with minimal effort, according to the company’s announcement.

Merlin Ventures Managing Partner Shay Michel emphasized that Torq is redefining security operations by blending automation with human judgment. “This is why Merlin is leading the investment,” Michel remarked. “Our focus now is speed—accelerating go-to-market, expanding across commercial and government markets, and building the next global category leader in AI security operations.”

Prior to this funding, Torq raised $70 million in Series C funding in September 2024, intending to broaden its AI-first cybersecurity hyperautomation solutions. A report by PYMNTS published in July highlighted that a new wave of agentic AI-powered cybersecurity tools is emerging, focusing on proactive threat prevention by identifying vulnerabilities in code, configurations, or user behavior, and executing defensive measures automatically.

According to the PYMNTS Intelligence report titled “COOs Leverage Gen AI to Reduce Data Security Losses,” 55% of chief operating officers are utilizing generative AI to bolster data security. This statistic underscores the increasing reliance on AI technologies to enhance cybersecurity practices in a landscape increasingly threatened by sophisticated attacks.

As Torq continues to evolve its AI-driven offerings, the company is well-positioned to capitalize on the vast potential in both commercial and governmental sectors, where the need for robust cybersecurity solutions is paramount. The successful funding round not only enhances its financial footing but also exemplifies the growing confidence investors have in AI capabilities to address complex security challenges. With the backing of Merlin Ventures and an expanding client base, Torq aims to solidify its role as a leader in the rapidly evolving field of AI security operations.

See also
Rachel Torres
Written By

At AIPressa, my work focuses on exploring the paradox of AI in cybersecurity: it's both our best defense and our greatest threat. I've closely followed how AI systems detect vulnerabilities in milliseconds while attackers simultaneously use them to create increasingly sophisticated malware. My approach: explaining technical complexities in an accessible way without losing the urgency of the topic. When I'm not researching the latest AI-driven threats, I'm probably testing security tools or reading about the next attack vector keeping CISOs awake at night.

You May Also Like

AI Technology

Nongshim expands its AI quality control to US and China, enhancing ramen production efficiency with advanced technology that detects defects on the line.

Top Stories

India officially joins the US-led Pax Silica initiative to enhance semiconductor and AI supply chains, boosting its tech landscape amid global competition.

AI Education

Microsoft's Chris Barry praises Penn State's Smeal College of Business for its bold AI initiative, aiming for over 75% faculty engagement by fall 2024.

AI Generative

New Mexico positions itself as a leader in AI governance to address high-stakes risks, aiming to enhance compliance and security for emerging technologies.

AI Finance

Cheers Financial leverages AI to boost credit scores by an average of 21 points, enabling immigrants to build financial independence in the U.S.

AI Research

LG AI Research's K-Exaone ranks seventh globally, excelling in government tests with a 72 average score, marking Korea's top entry in AI models.

Top Stories

Tencent enlists former OpenAI scientist Yao Shunyu to spearhead AI initiatives as its stock trades at HK$611, a 31.54% discount from estimated fair value...

Top Stories

MiniMax, China's AI unicorn, skyrocketed 109% in its record-breaking Hong Kong market debut, marking a significant milestone for tech investments.

© 2025 AIPressa · Part of Buzzora Media · All rights reserved. This website provides general news and educational content for informational purposes only. While we strive for accuracy, we do not guarantee the completeness or reliability of the information presented. The content should not be considered professional advice of any kind. Readers are encouraged to verify facts and consult appropriate experts when needed. We are not responsible for any loss or inconvenience resulting from the use of information on this site. Some images used on this website are generated with artificial intelligence and are illustrative in nature. They may not accurately represent the products, people, or events described in the articles.