TTorq Socrates

Torq Socrates is the orchestrating agent of the Torq AI SOC Platform. It plans each security case, enriches alerts, finds root causes and directs specialized HyperAgents to contain and remediate threats as authorized actions. Torq quotes one retail enterprise CISO saying the platform now closes more than half of Tier 1 and Tier 2 alerts on its own. It is best for enterprise SOCs and MSSPs that want response automated across many security tools, not just investigation.

Pricing is shared by quote, so every deal starts with a demo and a quote. The company is well funded after a $140 million Series D at a $1.2 billion valuation in January 2026, and users rate it 4.8 out of 5 on both G2 and Gartner Peer Insights. This review is based on Torq’s published product pages, announcements and public review data as of October 2026; we have not tested it hands-on.

Funding, Analyst Recognition and Public Ratings

Torq does not publish per-customer metrics as freely as some rivals, but its funding, analyst recognition and public ratings give buyers a solid picture. Each item below was checked on the source page.

The ratings are the strongest signal here. More than 200 public reviews across two sites, with no ratings below four stars on Gartner Peer Insights, is a larger and more consistent body of user feedback than most AI SOC products have. Gartner’s company-to-beat call adds an independent analyst view, though it is one report and Torq is the one publicizing it.

The customer list and the doubling of enterprise customers in 2025 show the platform is in production at large companies, not only in pilots. The 50% autonomous close rate comes from a single unnamed customer, so treat it as an example of what is possible rather than a typical result.

Hyperautomation First, With Socrates on Top

Torq built its business on security hyperautomation, which it positions as a replacement for traditional SOAR tools, and added an agent layer on top. Socrates sits at the center of that layer, with deterministic workflows running underneath for steps that should always happen the same way.

From Alert to Resolution

1. Alerts come in. Security events and alerts from across your stack reach Torq through integrations and webhook triggers.
2. Socrates plans the case. As the orchestrator, it decides which specialized HyperAgents to involve for triage, investigation and response.
3. Agents investigate. They enrich data, surface attack patterns and perform root cause analysis, drawing on the Torq Context Graph for case history.
4. Response runs. HyperAgents execute containment and remediation as authorized actions, governed by guardrails, skills and procedures from security experts.
5. Everything is recorded. Reasoning is logged, and Torq Case Management documents the investigation for stakeholders.

Working With Socrates

Analysts talk to Socrates in plain language. From a case they can ask for a summary, enrich indicators of compromise or query event data. Socrates can also task agents with proactive threat hunts that pull authorized data to find threats before they become incidents, acting as a thought partner for human hunters.

Building Agents and Workflows

The Agentic Builder turns natural-language requests into HyperAgents and Hyperautomation workflows. It selects tools and integrations, defines guardrails, tests agents with sample data and can refactor several automations in one session. Underneath, Torq’s documentation describes workflows built by dragging steps onto a canvas, with built-in steps users can customize and webhook triggers that start them. Torq also supports the Model Context Protocol as both host and client, which Gartner credited in its report.

Use Cases

Torq lists SOC incident response, phishing response, threat enrichment, cloud misconfiguration, unauthorized access response, employee onboarding and offboarding, just-in-time access and self-service chatbots. It targets financial services, the public sector and healthcare, and runs an MSSP program for providers that serve many clients.

Phishing Triage Within 48 Hours as the Opening Project

Torq says customers typically automate phishing triage within 48 hours of going live, which makes phishing the usual first project. A practical sequence is to connect the email security tool, identity provider and EDR first, let Socrates investigate and recommend for a few weeks, then allow HyperAgents to act on the clearest cases, such as quarantining a confirmed malicious email. Once that works, teams add alert types one at a time and track how many close without an analyst. Because every reasoning step is logged, reviewers can check the agent’s calls before granting more autonomy.

Security Teams Set Which Actions Run Unattended

The security team decides which actions agents may take on their own, writes the procedures they follow and reviews cases that need judgment. Reviewers note that building and tuning workflows takes time, so plan for an internal owner of the platform rather than treating it as a set-and-forget tool.

Torq’s AI SOC Platform, Priced Only by Contract

Torq does not publish prices for the AI SOC Platform or Socrates.

Workload Removed at a 2,000-Alert Mid-Size SOC

Without published prices, the useful math is about the work the platform can remove, which you can set against a quote.

Mid-size SOC with 2,000 alerts a month. At the 50% autonomous close rate Torq quotes from one retail customer, 1,000 alerts a month would close without an analyst. Assuming five minutes of manual triage per alert, that is about 83 analyst hours a month. Your own close rate may be lower at first.

Larger SOC aiming for 70%. At 10,000 alerts a month, the 70% target that customer is working toward would mean 7,000 alerts closed autonomously, or about 583 hours of triage at an assumed five minutes each.

Hidden and variable costs. Expect internal time to build and tune workflows, which reviewers say takes effort, plus training for analysts. Ask how the quote scales with alert volume, number of integrations and agent actions, and whether buying through AWS Marketplace changes terms.

Torq Socrates Compared With Dropzone AI, Prophet AI and CrowdStrike Charlotte AI

All four aim to take alert triage off human analysts. They differ in how far they go into response and how tied they are to one vendor.

Torq leads on response: it was built for automation first, so agents can contain and remediate, not only investigate. Dropzone AI and Prophet AI focus on investigation quality and fast setup, and Prophet publishes more compliance detail. Charlotte AI is the natural pick for CrowdStrike Falcon customers. Microsoft shops should also look at Microsoft Security Copilot. More options are on our cybersecurity agents page.

Public user feedback also separates them. Torq has the largest body of reviews in this group, with 169 on G2 and 52 on Gartner Peer Insights, while Prophet AI and Dropzone AI have smaller samples on Gartner Peer Insights. That makes Torq the safer bet on proven adoption, and the newer tools the ones to test hardest in a pilot.

Tool-Heavy Enterprise SOCs and SOAR Replacers

• Enterprise SOCs with many tools: Torq connects across the stack and coordinates response, which suits complex environments; see our enterprise agents page.
• Teams replacing legacy SOAR: no-code workflows and the Agentic Builder are quicker to change than code-heavy playbooks, reviewers say.
• MSSPs: Torq runs a dedicated program for managed security providers.
• Security teams that want automated containment: HyperAgents can act, within guardrails, rather than handing every step back to a person.
• Teams that also automate IT and identity work: onboarding, offboarding and just-in-time access sit on the same platform; see our workflow automation agents.

One-Person Teams and Price-First Buyers

• Small teams without a platform owner: reviewers describe a learning curve and setup time that a one-person team may find hard to fit in.
• Buyers who need published pricing: every deal is quoted.
• Teams that only want investigation: Dropzone AI or Prophet AI may be simpler if you are not ready to automate response.
• Falcon-only shops: Charlotte AI works natively on Falcon detections without another platform.

Learning Curve and Machine-Speed Containment

• Learning curve: Gartner Peer Insights reviewers mention a steep learning curve and want more hands-on training.
• Automated actions: containment and remediation at machine speed can disrupt users if guardrails are loose, so start with approval steps and widen them gradually.
• Single-customer metrics: the 50% close rate comes from one unnamed retail customer quoted by Torq.
• Compliance detail: the Socrates page links to security, AI governance and data governance pages without naming certifications, so request reports during procurement.
• Quoted pricing: compare quotes on the same alert volume and scope as rivals.

Torq Reaches a $1.2 Billion Valuation in January 2026

On January 12, 2026, Torq raised a $140 million Series D at a $1.2 billion valuation, led by Merlin Ventures, bringing total funding to $332 million. The company said it would expand in US commercial and public sector markets, including federal agencies.

On May 25, 2026, Gartner published a report naming Torq the company to beat in AI SOC agents for threat investigation, crediting its mix of deterministic automation and agent reasoning, its multi-agent system and its MCP support. Gartner republished the report on August 24, 2026 with the same conclusion.

Best Suited to SOCs That Want Agents to Act

For enterprise security teams that want agents to act, not just advise, Torq is one of the strongest options. Torq Socrates scores 8.4/10 on our scale. It earns high marks for autonomy, since HyperAgents carry out containment and remediation, and for user sentiment, with 4.8 out of 5 from 169 G2 reviews and 52 Gartner Peer Insights ratings. Gartner’s company-to-beat call and a customer list that includes Marriott, PepsiCo and Uber add confidence.

The score reflects quote-only pricing and the setup effort reviewers mention. Ask for a pilot on phishing triage, which Torq says customers automate within 48 hours, measure how many alerts close without an analyst, and compare the quote with Dropzone AI and Prophet AI on the same volume.

Before Signing With Torq, Common Questions

How Much Does Torq Cost?

Torq does not publish prices for its AI SOC Platform. You book a demo and get a quote, or buy through AWS Marketplace if your company uses cloud agreements.

What Is the Difference Between Socrates and HyperAgents?

Socrates is the orchestrator: it plans each case, coordinates other agents and is the plain-language interface for analysts. HyperAgents are the specialized agents it directs for triage, investigation and response.

Can Torq Contain Threats Without an Analyst?

Yes, when you allow it. Torq says its agents execute containment and remediation as authorized actions under guardrails and procedures your team defines, and you can keep approval steps for sensitive actions.

Is Torq a SOAR Replacement?

Torq started as a no-code hyperautomation platform positioned against traditional SOAR, and reviewers say its workflows are quicker to build than code-heavy SOAR tools. Socrates adds agent reasoning on top of those deterministic workflows.

How Do Users Rate Torq?

The Torq AI SOC Platform holds 4.8 out of 5 from 169 reviews on G2 and 4.8 from 52 ratings on Gartner Peer Insights. Reviewers praise its automation and integrations and mention a steep learning curve.