By Aric Perminter
For years, the managed security services industry has faced a familiar challenge: Security threats continue to grow in volume and complexity, while the availability of skilled professionals struggles to keep pace. The traditional response has often been to hire more analysts, expand security operations centers (SOCs) and invest in additional tools to manage the workload.
Artificial intelligence is beginning to change that equation. AI-powered security tools and autonomous SOC agents are increasingly capable of handling tasks that previously required significant human involvement. From analyzing alerts and identifying suspicious activity to automating incident response workflows, these technologies offer managed security service providers (MSSPs) an opportunity to scale their operations without expanding headcount at the same rate.
That shift will have major implications for how managed security services are delivered, staffed and measured. Yet as AI takes on more operational responsibilities, experienced security practitioners will remain essential to determining how those capabilities are deployed and whether they deliver meaningful value to customers.
The future of managed security services will be defined by how effectively providers combine automation with human expertise.
AI Is Changing the Economics of Security Operations
Running a SOC has traditionally been a labor-intensive undertaking. Analysts spend significant amounts of time reviewing alerts, investigating potential incidents, documenting findings and determining which threats require immediate attention. As customer environments grow more complex, maintaining adequate coverage often requires additional personnel.
AI introduces a different operating model. Intelligent systems can analyze large volumes of security data, correlate activity across multiple sources and automate repetitive investigative tasks. They can also accelerate reporting, recommend remediation actions and help security teams prioritize their workloads.
For MSSPs, these capabilities create opportunities to support more customers and manage increasingly complex environments without a corresponding increase in staffing. Smaller security teams may be able to deliver levels of coverage and responsiveness that once required significantly larger operations.
However, providers should be careful about treating reduced labor requirements as the primary measure of AI’s value. The real opportunity is to redirect practitioners toward higher-value work. When analysts spend less time reviewing routine alerts, they can focus more attention on complex investigations, threat hunting, improving detection strategies and helping customers address underlying security weaknesses.
MSSPs that embrace this shift can improve operational efficiency while expanding the expertise and strategic guidance they deliver. Those that focus exclusively on reducing staffing costs risk overlooking the capabilities that make managed security services valuable in the first place.
Security Decisions Still Require Human Judgment
AI can process enormous amounts of information, but effective security requires an understanding of the business environment in which that information exists. Consider an AI system that detects unusual activity involving a privileged account. The system may identify the behavior, correlate it with other events and recommend restricting access. Yet determining the appropriate response requires additional context. The account could belong to an administrator performing scheduled maintenance, or the activity could indicate an active compromise.
An experienced practitioner understands how to evaluate those possibilities, consider the consequences of a proposed action and determine whether immediate intervention is warranted. That distinction becomes especially important as MSSPs introduce more autonomous capabilities into security operations.
Automated responses can have significant consequences for customers. Disabling an account, isolating a server or blocking network traffic may contain a threat, but these actions can also interrupt essential business operations. Providers need clearly defined policies governing which actions AI can execute independently, which require approval and when incidents must be escalated to human experts.
Practitioners also remain responsible for designing and continuously improving the systems themselves. Someone must determine what constitutes suspicious behavior, establish escalation thresholds, validate AI-generated findings and investigate cases where automated decisions prove incorrect.
As automation becomes more sophisticated, these responsibilities will become increasingly important. The skills required within a SOC may evolve, with practitioners spending more time on oversight, system design and complex investigations, but the demand for security expertise will remain.
Customers Will Expect More Than Faster Response Times
The integration of AI also creates an opportunity to rethink how MSSPs demonstrate their value. Traditionally, managed security services have often been evaluated through operational metrics such as alert volumes, response times and the number of incidents investigated. These measurements remain useful, but they provide an incomplete picture of whether an organization’s security posture is actually improving.
Customers increasingly want to understand how their security investments contribute to reducing business risk. CISOs need to justify spending to executive leadership, while boards want greater visibility into the threats facing their organizations and the effectiveness of their defenses.
AI can help MSSPs connect these conversations by identifying patterns across security operations, highlighting recurring weaknesses and consolidating information that previously existed across disconnected systems.
For example, instead of simply reporting how many suspicious activities were investigated, a provider could demonstrate how improved detection and remediation processes reduced recurring incidents, shortened exposure windows or addressed vulnerabilities affecting critical systems. Delivering these insights still requires practitioners who understand the customer’s business priorities and can interpret technical findings in that context.
The strongest managed security relationships will be built around measurable improvements in risk reduction, supported by operational data and informed by experienced professionals.
Practitioner-Led Services Will Become a Competitive Advantage
As AI capabilities become more widely available, the technology itself will offer MSSPs fewer opportunities for differentiation. Providers across the market will have access to increasingly similar tools for detection, triage, response and automation. Their ability to apply those tools effectively will become a much more important competitive consideration.
For MSSPs, this starts with understanding each customer’s security challenges before introducing new technologies. Organizations have different risk tolerances, operational requirements, technical environments and levels of security maturity. An automation strategy that works well for one customer may introduce unnecessary risks or complexity for another.
Practitioners must evaluate where AI can deliver meaningful improvements, identify existing capabilities that customers may be underutilizing and design services around specific business needs.
This approach also requires providers to invest in their own teams. As routine tasks become automated, security professionals will need deeper expertise in AI oversight, incident response, risk management and the integration of automated workflows into customer environments.
MSSPs should also establish clear accountability for automated decisions and regularly evaluate whether AI deployments are producing the intended results. Continuous measurement and refinement will be essential as both the technology and the threat landscape evolve.
Ultimately, AI offers managed security providers an opportunity to fundamentally improve their operating models. It can increase efficiency, expand service capacity and allow practitioners to devote more attention to the security challenges that matter most.
The providers that succeed will be those that use these capabilities to strengthen their expertise and customer relationships. Security practitioners will continue to lead the decisions that shape effective protection, even as AI transforms how much of the underlying work gets done.
Aric Perminter is Managing Director, Client Relations for Arcova.
