Brinqa and Torq Unify Risk Intelligence With AI-Powered Automation

Reduce remediation times and drive accountability with a closed-loop workflow

When it comes to exposure management, finding vulnerabilities isn’t the difficult part. Prioritizing what to remediate—and determining who owns remediation and execution—is what’s most challenging. Doing this at scale is even more difficult.

Large enterprises aiming to implement Continuous Threat Exposure Management (CTEM) frameworks using exposure management platforms and vulnerability management programs often operate under significant constraints:

• Millions of findings across hundreds of thousands of assets
• Constant tool sprawl across scanners, CMDBs, cloud platforms, ITSM, and endpoint tools
• Shrinking remediation windows driven by exploit velocity and regulatory scrutiny
• A mandate to evolve from VM → RBVM → Exposure Management without adding headcount

In many organizations, the biggest bottleneck to remediation sits between prioritization and execution.

That is exactly why Brinqa partnered with Torq.

This integration is not about adding another workflow or another dashboard. It is about eliminating the manual work teams must perform to act on what they already know matters most.

Why Brinqa Partnered With Torq

The Core Problem

Customers consistently told us that while they could clearly identify which vulnerabilities and exposures mattered most, automating routine and repetitive remediation tasks consumed a disproportionate amount of time. Automating remediation in a way that could be trusted—without negatively impacting business operations—remained a challenge.

Torq emerged as the right partner because it delivers an AI-powered hyper-automation platform purpose-built for security operations. Torq provides a scalable execution layer that leverages Brinqa’s risk intelligence, enabling customers to automate remediation, mitigation, validation, and notification workflows.

By pairing Brinqa’s Cyber Risk Graph and contextual prioritization with Torq’s orchestration and automation capabilities, customers can close the loop from identification to remediation to validation within a single, continuous workflow.

From a leadership standpoint, vulnerability management programs often face the same structural issue:

High-quality risk intelligence exists—but remediation remains slow, manual, and fragmented.

Brinqa customers consistently shared feedback such as:

• “We know what to fix—but it still takes weeks to make it happen.”
• “Everything turns into tickets, spreadsheets, and follow-ups.”
• “Our analysts spend more time coordinating remediation than reducing risk.”

Brinqa addresses prioritization through deep context—asset criticality, exploitability, exposure paths, and business impact. But prioritization without execution does not reduce exposure.

Torq fills that gap.

Why Torq Was the Right Partner

Brinqa partnered with Torq because they deliver capabilities vulnerability teams do not have the time or resources to build internally:

• Enterprise-grade, AI-assisted automation
• Deep integration across security, IT, and cloud tools
• The ability to operationalize decisions—not just enrich alerts

Together, Brinqa and Torq connect risk intelligence directly to action, creating a closed-loop remediation model driven by clear customer and market signals:

• Vulnerability and exposure management teams are overwhelmed by scale
• Automation is now mandatory, not optional
• Leadership expects faster MTTR reduction
• Exposure management requires continuous execution—not quarterly cycles

Better Together: The Brinqa + Torq Integration

The Brinqa and Torq integration is designed as a true two-way integration, not a simple connector.

Torq queries Brinqa using GraphQL to retrieve contextual asset, vulnerability, and exposure data—including risk scores and business impact. At the same time, Brinqa can trigger Torq workflows using webhooks to initiate remediation actions, execute patching workflows, launch rescans, and send notifications.

This bidirectional design ensures automation is driven by context rather than raw alerts. Actions are triggered only when Brinqa’s intelligence indicates remediation is necessary and impactful, enabling confident automation without introducing unnecessary operational risk.

At a high level, the integration delivers risk-driven automation.

Brinqa and Torq Are Better Together

Brinqa:

• Aggregates and correlates vulnerability, asset, and exposure data
• Applies business context and prioritization using the Cyber Risk Graph
• Identifies what actually needs to be fixed first

Torq:

• Consumes Brinqa’s prioritized insights
• Executes automated workflows across IT, cloud, endpoint, and security tools
• Handles remediation, validation, enrichment, and notification

The result:A closed-loop workflow that moves from:

Identification → Prioritization → Automated Action → Validation

Without human handoffs slowing the process down.

How It Works: Reducing Friction in Daily Operations

Brinqa contributes intelligence and context through its data model – the Cyber Risk Graph™, business-aware prioritization, and correlation across assets, vulnerabilities, and exposure paths. This ensures remediation decisions are based on real risk and business impact—not tool-generated scoring.

Torq contributes execution and automation through its library of pre-built integrations, workflow orchestration capabilities, automated case tracking, and scalable remediation playbooks.

Brinqa determines what should be fixed and why. Torq determines how and executes the fix at scale.

Two-Way, Context-Aware Integration

• Torq queries Brinqa APIs for enriched asset and vulnerability context
• Brinqa triggers Torq workflows via webhooks
• Automation decisions are driven by real risk intelligence

Risk-Driven Automation Inputs

• Asset criticality
• Exposure paths
• Business impact
• Environmental context

Closed-Loop Validation

• Automated actions trigger rescans
• Results feed back into Brinqa
• Teams gain verification—not assumptions

Scale Without Complexity

• Hundreds of thousands of assets
• Millions of findings
• No custom scripts or brittle integrations

Technical and Business Outcomes

With Brinqa, Torq gains the contextual prioritization, dependency mapping, and business impact scoring needed to automate remediation responsibly and at scale.

With Torq, Brinqa customers extend risk intelligence into automated execution, replacing manual handoffs with consistent, closed-loop remediation.

Together, the platforms enable closed-loop remediation, automated validation, context-aware decision-making, and execution at scale.

Technical Outcomes

• Dramatically reduced MTTR
• Elimination of manual remediation steps
• Automated rescan and validation loops
• Consistent execution across environments
• Reduced dependency on IT handoffs
• Higher automation coverage across exposure types

Real-World Workflow Example: Unmanaged Endpoints

In a common enterprise scenario, a customer identifies unmanaged Mac endpoints by correlating data from CrowdStrike and Jamf. CrowdStrike may report hundreds of Macs connecting to the environment, while Jamf shows those same devices are missing from its inventory. This mismatch creates unmanaged risk that must be addressed.

Before the Brinqa and Torq integration, analysts typically reviewed reports manually, created tickets in Jira or ServiceNow, and relied on IT teams to manually enroll each device in Jamf. Progress was tracked manually, and validation was slow and inconsistent. This workflow often occurred weekly and required two to three hours of analyst time per run.

With the Brinqa and Torq integration, Torq queries Brinqa for unmanaged endpoints and receives detailed asset and operating system context. Based on that data, Torq automatically generates Jamf access tokens, creates missing device records, enrolls devices, and opens Torq cases to track activity. The entire workflow is automated end to end, reducing analyst involvement to near zero while scaling across hundreds or thousands of devices simultaneously.

AI and Automation: Practical, Not Theoretical

This integration is designed so that AI and automation work together to support exposure management, without AI executing remediation actions on its own.

AI is used to assist with investigation, triage, and decision-making within Torq workflows. As part of these workflows, Torq queries Brinqa for contextual vulnerability, finding, and asset data, including risk scores, exposure paths, and business impact. That context informs which findings matter most and what actions should be taken.

Automation then handles execution. Based on the intelligence provided by Brinqa and the decisions made during investigation and triage, Torq orchestrates the remediation – ensuring that actions are driven by real risk and business context, not static severity scores or raw alerts.

In this model:

AI assists with:

• Investigation and triage
• Correlation across findings and assets
• Context-aware decision-making

Automation handles:

• Execution of remediation workflows
• Orchestration across tools and teams
• Validation and feedback loops

Brinqa provides the risk intelligence and business context that guide decisions, while Torq applies AI and automation to operationalize those decisions at scale. The result is intelligent, context-aware automation that accelerates remediation without removing human judgment or introducing unnecessary risk.

Business Value Outcomes

1. Time Reclaimed

• Tasks that took hours now take minutes—or zero time
• Weekly manual processes automated
• Hundreds of analyst hours saved annually

2. Risk Reduction at Scale

• Faster remediation
• Shorter exposure windows
• Fewer critical vulnerabilities lingering

3. Program Scalability Without Additional Headcount

• Handle growth in:
  • Assets
  • Findings
  • Cloud environments
• Without adding staff and do more with less

4. Robust Metrics for Leadership

• MTTR improvements
• Investigation time reduction
• Verified remediation rates
• Reduced exposure dwell time

5. Outcomes That Matter to CISOs and Boards

• Demonstrable exposure reduction
• Improved audit and compliance posture
• Clear linkage between risk decisions and action
• Increased trust in vulnerability reporting

This integration enables leaders to move from explaining why issues remain open to proving how quickly they are closed.

The Bottom Line for Vulnerability and Exposure Management Leaders

If you are responsible for reducing exposure, the Brinqa + Torq integration changes what is operationally possible.

Brinqa and Torq connect risk intelligence directly to automated remediation, enabling teams to reduce exposure faster, at scale, and with significantly less manual effort.

For leaders of enterprise-level exposure management programs tasked with doing more, faster, and with fewer resources, this integration represents a new operating model – not just another tool.

To see firsthand how these two powerful platforms enable closed-loop remediation, automated validation, context-aware decision-making, and execution at scale, meet with a Brinqa Expert.

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