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Compliance at the Speed of the Incident: A Torq Perspective

Compliance at the Speed of the Incident: A Torq Perspective
Torq shares how agentic AI in security operations keeps compliance continuously audit-ready, closing the gap between SecOps and GRC with Drata.

Security teams are buried. A modern security operations center can take in tens of thousands of alerts a day, and the ratio of meaningful signals to noise keeps getting worse. Analysts spend hours triaging events that the right automation could investigate and close in seconds. At the same time, boards and customers want proof of security posture year-round, not a snapshot assembled the week before an audit. Those two pressures land on the same teams at the same time.

In this edition of Partner POV, we're spotlighting Torq, an AI-SOC platform that helps security operations teams accelerate triage, investigation, and response to prioritized threats. Torq addresses the entire threat lifecycle, from alert through remediation, combining agentic AI and automation that reasons and acts at machine speed.

We spoke with Chris Coburn, Senior Director of Tech Alliances at Torq, about why alert volume and compliance pressure are converging, what most organizations underestimate, and how Torq and Drata turn day-to-day security operations into a continuously current compliance record.

The Convergence of Security Operations and Compliance

According to Chris, the biggest shift his team tracks is the collapse of the wall between security operations and compliance. These were historically siloed functions. SecOps managed alerts and incidents. GRC teams managed frameworks and audits. That separation made sense once, and it doesn't anymore.

The reason is simple: SecOps produces the evidence auditors ask for every day. Device compliance, user access records, control effectiveness are all generated as a byproduct of normal SecOps work. The real question is whether that evidence gets captured automatically as it happens, or recreated manually at audit time.

Chris also pointed to the pace of AI-powered attacks. When threats move at machine speed, a human-in-the-loop process can't keep up. 

"You cannot respond to an AI-driven threat with a human-in-the-loop process," Chris said. Machine-speed threats demand a machine-speed response. Torq has built a model where AI agents work alongside SOC analysts to expand SOC capacity and throughput as an extension of the team. All agentic reasoning is fully logged for complete transparency, auditability, and human oversight. Control is highly flexible, with support for both human-in-the-loop and human-on-the-loop decisions..

The Hidden Cost of Manual Compliance Operations

When asked what the market underestimates, Chris named the operational cost of manual compliance. Most organizations have a clear picture of what their security tooling costs. Far fewer have calculated how many hours their security and GRC teams spend collecting evidence by hand, updating risk registers, running compliance checks, and preparing for audits. These are repetitive, error-prone tasks, and they rarely create real value.

The harder problem is that this burden grows faster than team headcount. Every new framework, every new cloud service, and every new vendor expands the compliance surface area. 

Chris's advice: shift compliance from a periodic manual exercise to an automated, continuous system. "The teams that make this shift first will have a meaningful advantage," he said — "faster audit cycles, fewer surprises, and a compliance posture they can demonstrate in real time rather than scramble to reconstruct."

Better Together: How Torq and Drata Connect SecOps and GRC

Drata gives organizations the structure to track controls, risks, assets, and compliance posture across frameworks. Torq supplies the AI agents and automation to analyze and act on that data and feed it back continuously. Put together, they close a loop that neither platform closes alone.

Here's what that looks like in practice. When a security incident occurs, Torq's AI agents triage the threat, investigate deeply, contain the blast radius and remediate root cause. They can automatically create a risk in Drata, upload the relevant control evidence, update device and user records, and trigger a Drata autopilot test to confirm the control is back in compliance. Work that used to require manual handoffs between security and GRC teams happens on its own, at machine speed. As Chris puts it, the result is "continuous compliance driven by actual security operations activity, not by someone manually updating records before an audit."

Strengthening Ties Between SecOps & GRC

Chris highlighted the joint use cases that deliver the most impact for security and GRC teams:

  • Automated evidence collection: When Torq's agents handle an incident, they upload control evidence to Drata — device evidence, user activity records, background check results — with no manual steps.

  • Monitoring failure remediation: When Drata surfaces a monitoring test failure, Torq investigates and remediates the underlying issue, then runs Drata's autopilot test to confirm the control is restored.

  • Incident-to-risk automation: When Torq detects a significant security event, it opens a case in Torq’s native case management system, and also creates a risk in Drata's risk register with full context, so nothing falls through the cracks between SecOps and GRC.

  • Asset and vendor lifecycle: As new devices, users, or vendors come online, Torq orchestrates Drata record creation and evidence upload automatically.

The depth of Drata's API is what makes these actions possible. Torq surfaces more than 35 native Drata actions spanning risks, evidence uploads, devices, users, vendors, assets, frameworks, controls, policies, monitors, and tasks. Chris calls out the closed loop pattern as especially powerful: trigger an autopilot test the moment a remediation finishes and get a compliance signal back immediately. The agent fixes the problem and verifies the fix actually resolved the gap.

The Impact: Continuous Evidence, Faster Audits

The outcome joint customers report most consistently is the time they reclaim from compliance operations — hours that security teams redirect to higher-judgment work. Because the integration collects evidence continuously instead of reactively, organizations also accelerate their certification timelines. Audit preparation that used to be a multi-week scramble becomes a dashboard that's already current.

The risk picture improves too. The moment Torq remediates a security incident, that activity shows up in the customer's Drata risk posture, giving GRC teams real-time visibility they didn't have before. With live data behind them, joint customers can speak to their security posture in front of prospects, boards, and auditors with confidence, rather than relying on a point-in-time snapshot.

Looking Ahead: Toward Autonomous Compliance

The frontier Chris is most excited about is fully autonomous compliance operations, where Torq's agents handle security incidents and maintain an audit-ready posture as a natural byproduct of normal work. As AI governance frameworks take shape — SOC 2 AI controls, ISO 42001, and others — he sees a clear opportunity for Torq and Drata to help organizations manage compliance around their own AI systems, tracking model usage, documenting controls, and surfacing risks as adoption scales.

He's also looking toward deeper bidirectional workflows, where a compliance failure in Drata proactively triggers a security investigation in Torq. That creates a genuine feedback loop between the two platforms. 

"The goal," Chris said, "is a world where maintaining compliance posture requires no manual effort at all — it's simply the output of a well-run security operations program."

Why Torq Partnered with Drata

Chris describes the partnership as a natural fit from the start. Drata's customers are exactly the organizations that need security operations automation: fast-growing companies that take compliance seriously and can't staff compliance operations by hand at scale. And Torq's customers kept asking how to connect their security operations to their compliance programs.

Drata's API depth made it possible to build integrations that touch risks, evidence, controls, assets, devices, users, vendors, frameworks, and tasks — real coordination, not surface-level connections. As the partnership has matured, the integration use cases have deepened and the overlap in the two customer bases has grown. The shared belief driving it forward is straightforward: automation should make compliance less painful and more continuous.

With Torq's AI SOC Platform and Drata's Agentic Trust Management Platform, customers can act on security events and prove compliance in the same motion — continuously, and without the manual handoffs.

Ready to get started? Connect with the Torq team and schedule a demo with Drata today.

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Monica Olmsted
Group Lead, Partner Marketing
Monica Olmsted is Group Lead of Partner Marketing at Drata, where she leads revenue-generating co-marketing strategies with strategic partners—especially cloud service providers—and helps scale Drata’s partner ecosystem. Before Drata, she held partner marketing roles at Seismic and led partner communications and marketing communications at Sesame Software, bringing a strong blend of partnership strategy, multi-channel marketing, and storytelling to every program. She holds a BFA in Visual & Performing Arts from Cornish College of the Arts (cum laude).

category + topics

Partnerships
Compliance
AI
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