AI security concerns give managed service providers (MSPs) a practical opportunity to help businesses adopt AI more safely—but they do not guarantee new revenue or make every MSP an AI-security specialist. The useful work is concrete: map AI tools and data flows, check the controls around them, integrate security tools, monitor agreed systems, and make responsibilities clear. Customers should also scrutinize the MSP’s own privileged access, because a provider can become an important path into the systems it manages.
Why AI security creates work for MSPs
AI changes both sides of cybersecurity. Organizations need to protect AI systems and the information used with them; defenders also need to adapt existing safeguards to attacks that use AI. NIST describes this two-sided challenge: “AI may create new opportunities such as the use of AI technology to augment defensive capabilities, but also challenges for implementing cybersecurity measures such as adapting existing defensive activities to thwart AI-enabled cyber-attacks as well as protecting AI systems and their components.” NIST’s Cybersecurity, Privacy, and AI page was updated July 15, 2026. NIST: Cybersecurity, Privacy, and AI
As an Amazon Associate I earn from qualifying purchases.
That does not mean every business needs a separate AI security product or a wholesale replacement of its existing defenses. It does mean someone must understand where AI is used, what data and accounts it touches, which controls apply, and who responds when something goes wrong. An MSP already responsible for some of a customer’s identity, endpoint, cloud, or security-tool environment may be able to help with that work—if the service is within its capabilities and the agreement clearly defines its scope.
Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Scan for outdated or missing drivers - takes under a minute3Repair Windows errors before they cause bigger problemsWhat AI security services should an MSP offer?
Useful offerings begin with the customer’s actual AI use, not a generic promise to “secure AI.” A service can focus on AI systems the customer develops, AI services employees use in business operations, or both. Those scopes are different: protecting a model or its development pipeline is not the same as controlling employee access to an external AI service.
#1 Best Overall
Inventory AI use and data flows
Identify the AI services in use, the business processes they support, the data sent to or produced by them, and the people or systems with access. The resulting inventory helps the customer and MSP identify where sensitive information might be exposed and which systems require security coverage. It also gives the parties a basis for deciding what is in scope rather than assuming that all AI use is visible to IT.
Review the controls around AI use
Assess whether identity, endpoint, cloud, and existing security-tool coverage fits the customer’s AI use. NIST’s 2025 adversarial machine learning taxonomy offers common terminology for attacks and mitigations; it is useful context for considering the confidentiality, integrity, and availability of AI systems, along with the security of training and output data, software, and hardware. NIST: Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations
Rank #2
An MSP should describe which controls it will assess or manage and which remain the customer’s responsibility. If a service covers ordinary business use of AI tools, it should not imply that the provider also secures a customer’s AI development environment unless that work is explicitly included.
Integrate tools and define alert ownership
Where the MSP has the relevant capability, it can connect existing security tools and clarify who receives alerts, who investigates them, how escalation works, and when the customer is expected to act. Integration without agreed alert ownership can leave gaps: a signal may exist but no party may be clearly responsible for responding.
Offer monitoring or a one-time assessment—with a defined scope
Some customers may need a point-in-time assessment; others may want ongoing monitoring and periodic reassessment. These are different commitments. A customer comparing proposals should ask what systems and data are covered, how often work occurs, what triggers escalation, and what response the provider actually commits to deliver. Monitoring is not the same as incident response, and neither should be assumed from a general security-service label.
Assess agentic AI services carefully
For services in which AI agents can take actions, a review may need to consider what the agent can access and do, how its actions are monitored, and how risks are reassessed as the service or its permissions change. CISA and international partners issued guidance on careful adoption of agentic AI services in May 2026, including threat modeling, continuous monitoring, and security assessments. CISA: Advancing the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence
Rank #4
What the survey evidence does—and does not—show
Barracuda’s 2025 MSP Customer Insight Report chart indicates that, among the organizations represented in that survey, 39% identified security-tool integration as an expected area of provider support, and 36% identified help presenting the case for cybersecurity investment to senior management. These are survey findings published by Barracuda, not universal measures of demand or proof that every customer expects those services. Barracuda: MSP Customer Insight Report 2025
Quick wins for a faster PC:
Repair Windows errors before they cause bigger problemsFix Now →Scan for outdated or missing drivers - takes under a minuteDriver Scan →The report also describes expected support for AI/ML implementation, but the cited accessible material does not establish an exact percentage. The figures above therefore support discussion of customer expectations around integration and investment advocacy, not a forecast of AI-security sales or MSP revenue.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Why the MSP itself belongs in the security discussion
An MSP may need privileged accounts or remote access to manage a customer’s environment. Those arrangements can add accounts and access paths, making provider security and account governance part of the customer’s risk picture. CISA’s 2018 advisory on threat activity exploiting managed service providers addresses this access and attack-surface concern; it is foundational MSP guidance, not a new finding specific to AI. CISA: Advanced Persistent Threat Activity Exploiting Managed Service Providers
CISA and partner agencies have also urged transparent security discussions between MSPs and customers, warning that malicious actors target both provider and customer networks. That supports explicit agreements about access, monitoring, escalation, and incident handling—not an assumption that every MSP arrangement is unsafe. CISA: CISA and Partners Urge Organizations to Review Managed Service Provider Security
Questions customers should settle before signing
- Access: Which provider accounts and access paths are used, what privileges do they have, and how are they controlled?
- Coverage: Does the service cover AI systems the business builds, employee use of AI services, or both? Which identity, endpoint, cloud, and data environments are included?
- Monitoring: What is monitored, on what cadence, and which party owns alerts and escalation?
- Response: What does the MSP do when it identifies a suspected incident, what must the customer do, and what response commitments are included?
- Backups: If the MSP manages backups, who owns the backup practices and how will the customer confirm they meet relevant guidance?
CISA’s ransomware guidance advises organizations to consider the cyber hygiene of third parties and MSPs and, where an MSP manages backups, to confirm that backup practices meet relevant guidance. CISA: #StopRansomware Guide
How SMBs can judge whether an offer is useful
Compare proposals by the work and responsibility they specify, rather than by broad claims about AI security. A credible proposal should name the systems in scope, the controls being reviewed or managed, the service cadence, and the division of responsibility for alerts and incidents. It should distinguish a one-time assessment from ongoing monitoring and explain what expertise or capabilities the MSP will actually provide.
For MSPs, the opening is credible when the service builds on real capabilities in managed security, risk assessment, or security-tool integration. The evidence supports a practical service opportunity, not a guarantee of universal demand, a revenue forecast, or a claim that one offering fits every customer.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
