NEW YORK, April 16, ​2025 – In a strategic game that highlights the acceleration of the convergence of artificial intelligence and cybersecurity, Torq, the Israeli security ​automation ​company, acquired the startup in a stealthy way in an agreement estimated at over ​$20 ​million. Although financial details remain confidential, the policy implications are even ​less ​important. This acquisition leads to Revrod’s advanced ​RAG (Ratrieval-Augmented) technology in the fold of the latest Torq offering: the HyperSOC 2.0 platform, a movement based on ​the radical ​transformation of ​the Security Operations Centre (SOC).

Founded ​in 2020 by the trio behind ​Luminate Security – Ober Smadari, Leonid Belkind, ​and ​Eldad ​Livni – Torq has already raised $192 million in funding, including a $70 million C series in ​September 2024 led by Evolution Equity Partners. Your ambition? Provide a ​fully autonomous SOC powered by AI, capable of significantly reducing response times in the event of an incident, streamlining alert management and ultimately minimizing the human ​burden in an area known for the exhaustion and shortage of talent.

Why ​Torq Buyer Revrod?

According to Smadari, the acquisition was not ​only opportunistic, but necessary. According to him, Revrod had ​already ​realized what most of the companies had simply planned: an ​AI engine of production level that benefited from the intelligence of the ​agents. Traditional ​automation ​workflows, often dependent on static playbooks, can only go so far. What Revrod proposed was different: a fully ​dynamic system capable of learning, adapting and ​acting independently without coded instructions.

Revrod’s team, including co-founders Eliya Elon and Noam Cohen, had silently raised ​$6 million and developed a multi-active system based on RAG while remaining in ​the sigil. Despite his radar flight, his work on agent architectures had attracted the attention of artificial intelligence agents. For Torq, the acquisition of talent was as valuable as technology. “It would have taken us two years to build this from scratch,” Smadari admitted. “And good AI engineers are not only ​expensive – they are evasive.”

What are you doing? Torq HyperSOC really 2.0 Do?

HyperSOC 2.0 is an integral solution that integrates Revrod’s ​multi-agent capabilities. It comprises four main actors:

• Investigation Agent: Delves into disparate data sources to uncover anomalies, conduct root cause analysis, and ​assess ​threat impact.
• Case Management Agent: Streamlines triage with real-time ​and historical data, adjusts threat ​priorities dynamically, and filters out noise.
• Runbook Agent: Executes custom workflows using enterprise-defined protocols with embedded safety guardrails.
• Remediation Agent: Conducts full-cycle threat resolution, either autonomously ​or in human-in-the-loop configurations.

According to Torq, early adopters saw their search time decrease by 90%, while warning management capacity increased ​to five times, without ​hiring ​more. The system effectively ​performs more than 95% of the Tier-1 analyst’s tasks, making it a rare feat in an industrial raffle with promises of automation but light in delivery.

How ​does this compare to other cybersecurity tools?

Unlike legacy SOAR platforms or ​even modern machine learning tools, HyperSOC architecture is modular, dynamic ​and ​more important, designed ​to evolve. Traditional systems ​often require human monitoring at ​multiple points of contact. HyperSOC changes this paradigm – once an alert is received, it can collect context, assess risks, select appropriate tools and begin to mitigate its effects independently.

“It’s like moving from ​speed control to fully automatic pilot,” said Francis Odum, software analyst at Cyber ​Research. “You not only reduce human ​intake – you optimize ​around it. This is the first time we have seen something as intelligent and functional in production. “

How will this affect the MSSP ​and the ​company’s security teams?

The benefits go beyond business clients to managed security service providers (MSPs), who often make fun of hundreds ​of client environments. Torq’s promise of autonomous, ​codeless workflows with deep integrations ​is a ​boon for WSPs limited by work and time. Smadari states that the platform has a 70% profit rate against competitors such as Palo Alto ​Networks and Splunk when evaluated by commercial customers.

“For WSPs, this means providing faster and more scalable services without the cost of ​the expanded team of ​analysts,” Smadari said. “HyperSOC acts as a force multiplier. An ​analyst can do the work of five.”

What does Revrod’s ​Apart AI establish?

Revrod’s multi-agent RAG system is built to mimic critical thinking models of ​human analysts, but without cognitive fatigue. Instead of relying on static rules, these agents learn from interaction and ​feedback, deepening ​with each threat they address. According ​to Smadari, the system can already detect phishing attempts, scan malware and ​identify the wrong parameters, simply depending on the input of natural ​language users.

This natural language capability is the cornerstone ​of what Torq calls “Hyper-Agens”. These agents can be customized by customers using simple English instructions. You ​want to detect attempts to record the brute force? Just ​write it down and the system builds the detection mechanism itself. This ​is a ​non-code future, but it continues to ​respect the complexity of business security requirements.

What ​are the general implications for industry?

The cybersecurity sector is evolving, with 2025 ​already a flow of M implicitaamp; A. From the acquisition of Kinective from ​Datava ​to ACA Group, integrating Global Trading Analytics, ​the focus ​has ​been on smart platforms that combine industry-specific automation, compliance and ​intelligence. Revrod’s acquisition of Torq is part of this broader narrative, in ​which AI is not only a complement, but the core of operational transformation.

For both startups and ​investors, ​the message is clear: the AI agent is not a niche, it is ​the future. ​And ​for headlines, Torq’s fast innovation cycle ​is a wake-up. According to Smadari, “We do not expect the future. We’re building it. Now.”

Where did Torq come from?

Torq recently opened its headquarters in London, ​pointing to ambitions far beyond the American ​market. The now fully integrated Revrod team will continue to lead the AI roadmap. According to Noam Cohen, now head of AI Division, the next border is OmniAgent, a meta-agent who coordinates several real-time AI functions to provide ​a comprehensive threat analysis ​and response.

“Think ​of OmniAgent as director of ​an orchestra,” explains Cohen. “Every agent plays his role, but ​the OmniAgent ensures that they ​harmonize, making the answer not only intelligent, but orchestrated.”

Future plans include IA models that ​assess system hygiene, audit routes, ​and even compliance. The team ​also develops peer engagement frameworks, allowing organizations to exchange anonymous threat models and mitigation strategies, further enhancing collective defence.

For Smadari, however, the long game is not only on products, ​it is on platforms. “We are building an initial AI ​base that will ​allow us ​to move faster, solve smarter and help our clients better defend. That’s how you see victory in ​today’s threat landscape.”

With the ​growing ​cybersecurity ​more complex for the day and the talent pool ​is not maintained, solutions like ​HyperSOC 2.0 ​offer more than comfort, offer survival. Whether you are ​an IOC looking to modernize the security infrastructure or a MSSP in ​order to climb without inflation of ​the head of account, Torq’s latest ​signs of movement that autonomous ​security operations are no longer futuristic, are here, and are real.