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TL;DR
- Traditionally, MSPs focus on IT operations, but a growing segment are expanding into security services and taking on more security responsibilities.
- For MSPs building out security practices, AI enables SOC-level capabilities: automated alert triage, EDR orchestration, phishing defense, and AI-driven incident response.
- MSPs that add AI-powered security automation can deliver advanced security outcomes without building a dedicated security team from scratch.
- Torq’s AI SOC Platform is purpose-built to help security-forward MSPs scale these capabilities without scaling headcount.
Managed service providers built their business on reliable IT delivery: help desk, infrastructure management, patch cycles, and uptime. That foundation is solid — and for many MSPs, it remains the core of what they do.
But a meaningful segment of MSPs are moving beyond traditional IT operations. They’re standing up security practices, hiring analysts, deploying EDR and SIEM tooling, and taking on responsibilities that used to belong exclusively to MSSPs. The IT ops vs. security ops line between MSPs and MSSPs is blurring as more MSPs take on security as a core service line.
For these security-forward MSPs, the challenge is operational. How do you deliver advanced security outcomes when your team was originally built for IT operations? AI is how leaders are closing that gap.
What AI Makes Possible for MSPs Expanding into Security
When an MSP expands into security, the operational stakes go up. Security alerts don’t scale linearly with client count; they multiply. And unlike traditional IT service delivery, security demands continuous coverage, fast response, and deep investigation across every client environment simultaneously.
AI is what makes that scale achievable without sacrificing quality. The most impactful applications for MSPs building out security capabilities include:
AI-driven security automation: Automating alert triage, threat enrichment, and incident response workflows across client tenants, so a skilled security team can direct their expertise where it matters most.
AI agents: Specialized agents that handle discrete tasks like phishing investigations, case escalations, and indicator enrichments, freeing analysts to focus on the higher-judgment work that requires human expertise.
Case management: AI-powered case management that automatically assembles context, links related incidents, and surfaces the right actions, so analysts spend time on decisions rather than data gathering.
Hyperautomation: End-to-end automation that connects security tools, business logic, and response workflows — giving MSPs the operational backbone to deliver enterprise-grade security outcomes at scale.
Why Security-Forward MSPs Are Investing in AI Now
Today’s threat landscape moves fast and MSPs expanding into security are meeting that challenge head-on, leveraging AI to operate with the speed and consistency that modern security demands.
According to Torq’s 2026 AI SOC Leadership Report, 90% of security leaders say AI has positively impacted SOC workload, and 85% say it has reduced analyst stress and burnout. For MSPs building out security practices, that translates directly into a stronger, more sustainable operation, one where analysts are energized and focused on the work that makes the biggest difference for clients.
The economics are compelling, too. AI-powered automation handles high-volume, repeatable work so security analysts can dedicate their time to higher-judgment cases, deeper client relationships, and proactive security improvements.
5 Key Use Cases for MSPs Building Security Practices
1. Automated Alert Triage
Alert volume is the first wall MSPs hit when they take on security clients. AI-driven triage — ingesting alerts, applying context, correlating indicators, and scoring severity — handles the volume problem before it becomes a staffing problem. Torq’s AI SOC Platform automatically investigates and enriches 95% of Tier 1 cases without analyst intervention.
2. EDR Orchestration
EDR tools generate a high volume of signals. AI-powered orchestration connects EDR outputs to broader response workflows. This isolates a compromised endpoint, triggering an investigation and notifying the right stakeholders without requiring an analyst to manually stitch those steps together across every client environment.
3. AI-Driven Incident Response
Automated incident response used to mean executing pre-written playbooks. AI agents can now reason through an incident, determine the appropriate response, and dynamically execute containment or remediation steps. This matters especially for MSPs managing diverse client environments with different tech stacks and risk tolerances. For a deeper look at building response plans, see Torq’s incident response plan guide.
4. Phishing Defense
Phishing remains one of the most common initial attack vectors and one of the highest-volume workflows for any security practice. AI enables MSPs to automate the entire phishing investigation process, analyzing reported emails, extracting indicators, cross-referencing threat intelligence, and executing remediation in minutes rather than hours.
5. Threat Intelligence Enrichment
AI agents can automatically enrich every alert with relevant threat intelligence, giving analysts and automated response systems full context before they act. This is foundational for MSPs making fast decisions across multiple client environments where manual enrichment would be a bottleneck. Understanding security incident categories is essential context for building these enrichment workflows effectively.
What Enterprise Clients Get When MSPs Bring AI to Security
Enterprise buyers evaluating MSPs for security work recognize the value of a partner who knows their environment deeply and brings dedicated security capabilities to the table. MSPs that have invested in AI-powered security automation can speak confidently to the outcomes that matter most.
Faster MTTR. AI-powered workflows resolve incidents in minutes, giving clients swift, reliable protection and giving analysts more time for the strategic work that strengthens security posture over time.
Stronger cyber resilience. AI continuously correlates signals across client environments, working alongside analysts to ensure nothing slips through. According to Torq’s 2026 AI SOC Leadership Report, 85% of security leaders say AI has reduced analyst stress and burnout, meaning teams are sharper, more focused, and delivering better outcomes for the clients who depend on them.
Consistent coverage. AI operates at full capacity around the clock, ensuring every client gets the same high standard of protection regardless of time of day or alert volume. For enterprise buyers, that consistency is a hallmark of a mature, dependable security partner.
Better ROI. AI-powered MSPs deliver exceptional value, with faster response, broader coverage, and clear reporting that demonstrates impact. For CISOs and MSPs alike, that’s a partnership built on measurable outcomes and long-term trust.
How to Choose the Right AI Platform for a Security-First MSP
Not every AI platform is suited for an MSP adding security capabilities. Here’s what to look for:
Automation depth. Can the platform autonomously investigate, enrich, and respond — or does it just surface alerts? There’s a significant gap between “AI-assisted” and genuinely agentic containment and response.
Multi-tenant architecture. MSPs managing multiple client environments need clean separation of data and workflows. Ask whether multi-tenancy was designed in from the start, or added later.
Integration breadth. An MSP’s security effectiveness depends on how well their platform connects to client tools. Deep, bidirectional integrations are essential for real automation.
Explainability. Torq’s 2026 AI SOC Leadership Report found that 9 in 10 security leaders need to understand how AI reaches its decisions before they’ll trust it with more autonomy. Choose a platform that shows its work.
Speed to deploy. MSPs can’t wait weeks for professional services engagements every time they onboard a new security client. AI workflow creation and agentic builder capabilities matter here.
Torq’s AI SOC Platform enables managed service providers to onboard customers 18x faster, auto-remediate 95% of Tier 1 cases, and build and deploy workflows at machine speed, from a multi-tenant architecture designed for managed services.
AI is the Next Chapter for MSPs
MSPs that are serious about security are using AI to scale faster response, broader coverage, and more advanced security operations without proportionally scaling headcount.
The technology is mature, the use cases are proven, and the ROI is measurable. Forward-thinking MSPs are using AI-powered managed cybersecurity to build and scale modern security practices that complement the IT services they already deliver.
Torq is transforming cybersecurity with the Torq AI SOC Platform. Torq empowers organizations to instantly and precisely detect and respond to security events at scale.
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FAQs
MSPs that have expanded into security are using AI primarily to handle the alert volume problem — automating triage, threat enrichment, phishing investigations, and incident response across client environments. The most advanced are deploying AI agents that own entire workflows end-to-end, allowing small security teams to cover enterprise-grade volume.
An MSP traditionally handles IT operations; an MSSP specializes in security. A growing number of MSPs are expanding into security services. AI accelerates that shift by automating the high-volume, repeatable work that would otherwise require dedicated SOC staffing.
Multi-tenancy, automation depth, integration breadth, explainability, and fast workflow creation are the key criteria. Torq’s AI SOC Platform is designed for managed service providers, enabling 95% automated Tier 1 case handling and 18x faster client onboarding.
AI eliminates the manual handoffs that slow down investigation and response. Instead of an analyst stepping through each stage — reviewing logs, querying threat intel, executing a playbook — Torq’s agentic AI handles the full workflow autonomously for 95% of Tier 1 cases. According to Torq’s 2026 AI SOC Leadership Report, 90% of security leaders say AI has positively impacted SOC workload.














