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The AI SOC category just got its definitive race assessment, and Torq is at the front.
In the May 2026 Gartner® report AI Vendor Race: Torq Is the Company to Beat in AI SOC Agents for Threat Investigation (Document ID: G00855833), Gartner names Torq the Company to Beat. Torq.io’s combination of deterministic and agentic reasoning, multi-agent system, and model context protocol integration makes it the pacesetter in AI SOC agents for threat investigations.
A Hybrid Architecture That Pure-Inference Platforms Can’t Match
According to Gartner, Torq’s defining architectural choice is the combination of its proprietary hyperautomation engine with agentic AI — rather than relying on inference alone. The hyperautomation engine provides deterministic, rule-based workflow execution for repeatable, high-volume tasks such as deduplication, normalization, and escalation routing. Socrates, the agentic OmniAgent layered on top, provides adaptive reasoning, deep investigation, natural language collaboration with analysts, and autonomous remediation for complex, novel threats. This hybrid architecture delivers what pure-inference competitors cannot: consistent, auditable outcomes for routine cases combined with human-level judgment for complex incidents.
According to Gartner, “This hybrid architecture delivers what pure-inference competitors cannot: consistent, auditable outcomes for routine cases combined with human-level judgment for complex incidents.”
We feel that this is the architectural bet Torq placed years ago. Torq believed then, and now more than ever, that this positions our customers for success as agentic AI is poised to fundamentally transform SecOps by working alongside human experts. This architectural decision and investment have now met the market moment.
Inside Torq’s Multi-Agent System
As part of Torq’s multi-agent system (MAS), Torq HyperAgents™ are coordinated by Socrates, Torq’s agentic orchestrator of the Torq AI SOC Platform. Moreover, Socrates serves as an agentic thought partner for natural-language collaboration with analysts as they investigate threats. Its Agentic Builder capability converts natural-language intent into production-ready Torq HyperAgents.
Torq HyperAgents collaborate in real time across the entire threat lifecycle, including but not limited to:
- Triage, to ingest and normalize telemetry from across the security stack.
- Investigation, to conduct root cause analysis, correlate related activity, and document evidentiary artifacts within Torq Case Management for collaboration and communication with stakeholders
- Response, to rapidly contain threats and to remediate root cause
Socrates coordinates these specialized agents, managing handoffs and escalation decisions across the case lifecycle. Per the report, “Torq’s multiagent system represents the most mature multiagent implementation among dedicated AI SOC vendors.”
MCP-Native Architecture as a Structural Lead
Gartner identifies Torq’s native Model Context Protocol (MCP) integration as “the most consequential technical differentiator in the category. MCP standardizes how AI agents exchange context with external tools and data sources, enabling agents to dynamically discover, query, and act on any MCP-compatible system without requiring prebuilt API integrations.”
Torq serves as both an MCP host (accessing external MCP servers) and a client (exposing its own workflows as MCP tools for other agents). This is what an AI-native architecture looks like in 2026, built from the ground up to operate as part of an interoperable agentic ecosystem.
Enterprise Scale, Time to Value, and Commercial Momentum
The Gartner report includes several observations on the size, momentum, and trajectory of the Torq customer base.
On customer base and global reach, the report states: “With over 250 enterprise customers — a figure that doubled in 2025 — and global enterprise references, Torq has achieved cross-sector production validation at a scale no pure-play AI SOC competitor has matched.”
On time-to-value, the report observes: “Customers report being live and automating phishing triage within 48 hours — a time-to-value metric that sets the benchmark for the category.”
On the MSSP channel, the report describes: “Its MSSP channel is equally mature: providers like RSM use Torq AI SOC Platform as the operational backbone of their managed security service delivery.”
On financial position, the report notes Torq’s “$1.2 billion valuation and $332 million in total funding that provide the most substantial resource advantage in the category.”
For buying teams evaluating which AI SOC vendors will still be evolving their platforms three years from now, the combination of enterprise traction, time to value, channel maturity, and financial position helps inform a more complete vendor evaluation.
Our Take on the AI SOC Category
The AI SOC category is just over a year old. Most of the platforms in today’s conversation did not exist 24 months ago. For security buyers, the question isn’t whether AI belongs in the SOC — that’s settled, with 94% of security leaders now using AI in at least one SOC function. The harder question is which platform to anchor the AI SOC on, and which vendors have the architecture and commercial muscle to operate at enterprise scale three years from now.
For Torq, the architectural conviction we built the platform on is unchanged:
- The AI SOC has to do more than triage
- Automation and agentic reasoning are complements rather than substitutes
- The platform that wins will be the one buyers can run end-to-end across the threat lifecycle
We believe this Gartner analysis confirms that this architecture is where the category must head. It is certainly where Torq already resides. And we are not done.
The Road Ahead for the AI SOC
The AI SOC category will continue to evolve. New entrants will push the architecture, and the leader designation will be contested. From our perspective, the architecture we built — and the customer base built on top of it — sets a benchmark we plan to keep raising.
Read the full report, accessible to Gartner clients only.
Gartner, AI Vendor Race: Torq Is the Company to Beat in AI SOC Agents for Threat Investigation, Tom Powledge, Matt Milone, 25 May 2026.
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