Managed AI security services help clients discover, govern, protect and prove the safe use of AI, and MSPs are well placed to deliver them. Two new security jobs are emerging: securing AI (knowing which tools run, by whom and with what permissions) and securing with AI (detecting and responding at attacker speed). MSPs with a proactive security foundation can start with AI risk assessments, move to managed services and grow into business advisory.
Key takeaways
✓ The question clients ask is changing from “are we protected?” to “can we move faster, safely?”
✓ Two new jobs exist: securing AI and securing with AI.
✓ A proactive, unified foundation unlocks new service rooms in your portfolio.
✓ The path runs from AI risk assessment, to managed AI security, to vCISO and advisory.
Introduction
For years, the security question MSPs heard came from the IT team: “Do we have enough protection in place?” You detected, responded and did the security job.
Today a different group is asking a different question. Business units, the AI transformation team and often the CEO want to know: “Can we move faster in a safe way?”
That’s a new conversation with new people, and it opens doors to new budgets. This article sets out how MSPs can respond with managed AI security services, based on WithSecure’s session for MSPs on building new services in the age of AI.
In this article, you’ll learn:
- How the MSP role is changing
- What the two new security jobs involve
- A three-stage path from first assessment to advisory partnership
How is the MSP role changing in the age of AI?
The MSP role is shifting from security operator to business advisor, because the people asking about security are now business leaders, not only IT teams. The question has moved from “are we protected?” to “can we adopt AI quickly and safely?”
Think about who’s in the room. AI transformation sits at the top of many CEOs’ agendas. Every company has some team looking at how to apply AI to the business. When security is slow or unclear, it becomes the bottleneck. When it’s visible and structured, it speeds the work up.
This is your chance to take a seat at the business table, and to open budgets beyond IT. Your clients are, in effect, asking you for confidence.
Key points
- New audience: business units, AI program owners, executives.
- New question: how to move fast and stay safe.
- New opportunity: advisory services and budgets beyond the IT line.
What are the two new security jobs?
Securing AI
Securing AI means knowing what AI is in use, by whom, with what permissions, and governing all of it. It covers sanctioned tools and the shadow AI below the surface: personal assistants, browser extensions, software with embedded generative AI and agents that may hold more privileges than people do.
Securing with AI
Securing with AI is about clock speed. Attackers use AI and can move laterally within 29 minutes of first compromise. Defenders need to detect, discover, prioritize and respond at the same pace. That requires agentic, proactive security that works as one loop: continuous scanning and mitigation before something becomes a threat.
These two jobs are linked. You need the second to deliver the first at scale. A unified platform where exposure, detection and response share data makes both realistic for a lean MSP team.
How can MSPs build managed AI security services?
Use this three-stage path. Each stage builds on the previous one and on a proactive foundation.
- Stage one: AI risk assessment (project-based). Run an assessment of the client’s AI footprint. Show what’s below the waterline: tools, users, permissions, data paths. Even this single step builds confidence, because the client gets a concrete understanding of what’s going on in their company.
- Stage two: managed AI security (recurring). Move from seeing to operating. Run the governance, apply the guardrails and report continuously. Use the see, control, protect, prove framework: what AI is used, what is allowed, how to defend, and how to show it. Companies need this, and the need is accelerating.
- Stage three: advisory partnership (strategic). With a strong relationship in place, speak confidently to business units. Link AI security to your virtual CISO (vCISO) service or to any AI adoption consulting you already provide.
Your house of services
Picture your portfolio as a house. You probably run traditional detection and response today, and likely many other services. Add a proactive foundation and you unlock new rooms:
- Proactive elements on top of detection and response, such as continuous exposure management.
- An AI security model of discover, govern, protect and prove.
- Advisory links to vCISO, compliance and AI adoption programs.
Importantly, you don’t have to build everything alone. WithSecure provides both the platform and services. With the Co-security model, MSPs don’t need to build their own SOC. We can run monitoring while you hold the client relationship.
Common challenges and solutions
| Challenge | Solution | WithSecure approach |
|---|---|---|
| Clients ask about AI but budgets sit outside IT | Speak to business units and AI transformation teams | Framework and reporting designed for business-level conversations |
| No in-house capacity for 24/7 operations | Partner for monitoring and response | Co-security: WithSecure experts extend your team while you keep the relationship |
| Too many tools to run AI security properly | Consolidate onto one platform | Elements unifies endpoint, identity, cloud, collaboration, exposure management and MDR |
| Unclear how to start | Begin with a project, then recur | AI risk assessments as an entry point, then managed governance and reporting |
Frequently asked questions
Q: What are managed AI security services? Managed AI security services help organizations discover which AI tools and agents they use, govern permissions and policies, protect against misuse and data leakage, and prove control through ongoing reporting. An MSP operates the service continuously on the client’s behalf.
Q: What is the difference between securing AI and securing with AI? Securing AI means governing AI tools, users and permissions. Securing with AI means using AI and automation to detect, prioritize and respond at attacker speed. Clients need both, and a unified platform makes delivering both manageable for an MSP.
Q: How should an MSP start offering AI security? Start with a project-based AI risk assessment to show clients their hidden AI footprint. Then move to a recurring managed service for governance and reporting, and finally to advisory work such as vCISO or AI adoption support.
Q: Do MSPs need a SOC to deliver AI security services? No. With a platform and Co-security model from WithSecure, MSPs can offer proactive services without building their own SOC. Vendor experts provide monitoring and response while the MSP keeps the client relationship and revenue.
Conclusion
Your clients’ AI journeys are already under way. What they need now is confidence, and a partner who can bring structure so they can move quickly and safely.
Start small: one AI risk assessment. Grow into a managed service. Build toward advisory work with the business units that now hold the questions and the budgets. A proactive, unified foundation makes each step easier.
Watch now: Proactive Security in the AI World: How MSPs Build New Services
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