Managed Security Is Getting Harder to Deliver in 2026 – What the Next Wave Looks Like for MSSPs

Most managed security services evolved around human-driven activity - logins, phishing clicks, and endpoint misuse - investigated after alerts fired. But in 2026, a lot of what’s happening inside customer systems will come from machines - AI agents, backend services, and APIs acting on their own.

In fact, all this has already started. And it is already causing friction. Alerts keep piling up. Investigations take longer. Customers want faster answers and clearer explanations, but they don’t want higher bills. And many of the workflows MSSPs still rely on - waiting for the alert, looking into it, writing it up - don’t hold up when attacks move fast and look legitimate the whole way through.

This isn’t about adding more tools. It’s about whether managed security services can still be delivered consistently and at scale when most activity is automated, traffic is encrypted, and the “user” might be an AI agent.

The trends and predictions below look at where managed security starts to bend under pressure in 2026, and what MSSPs will need to adjust to keep it running.

1. Machines become the main thing MSSPs defend

By 2026, most activity inside customer environments will come from machines, not people. AI agents, backend services, and APIs move data and make decisions continuously. As Pascal Geenens, VP Cyber Threat Intelligence at Radware, puts it, “APIs become the front line of this new agent economy. Every bot - good or bad - will be hitting APIs nonstop, making them the hottest target on the threat map. And because these agents make decisions for us, attackers will shift their focus to poisoning the underlying data, manipulating context and sneaking into the AI supply chain long before a human ever notices. If 2025 was the warm-up, 2026 is the moment the machines take the microphone.”

That creates a problem for managed security. Machine activity looks normal by default. Mayank Kumar of DeepTempo warns that attackers will hide inside “trusted accounts, clean infrastructure, and normal-looking APIs,” where “the most dangerous intrusions won’t trigger alerts.”

Customer expectations shift with this. They don’t just want to know what happened. They want to know who authorized an agent, what it could access, and why. 1Password’s Chief Product Officer, Abe Ankumah argues every agent needs “a responsible human with clear delegated authority.”

What changes for MSSPs: Monitoring traffic isn’t enough. Customers expect governance for non-human identities, delegated authority, and clear explanations when automated actions cause impact.

2. Zero-days make alert-first services obsolete

Vulnerabilities are being exploited faster than patch cycles can keep up. Travis Volk at Radware expects a rise in zero-days and says providers need protection that works “at runtime, not after the fact.”

Brennan Lodge, Fractional CISO of DeepTempo, is blunt: zero-days are becoming common, not exceptional, and defenders “cannot wait for a CVE to show up before looking for suspicious behavior.”

This also changes how supply-chain risk shows up. Tim Chase, Field CISO and Principal Technical Evangelist at Orca Security says attackers are targeting “package managers, CI/CD pipelines, and cloud-hosted source repositories. Most organizations are still treating this as an auditing problem rather than a security architecture problem. The ones that move now to lock down developer access, enforce dependency trust policies, and continuously verify code integrity will be the ones that avoid being blindsided.”

For MSSPs, compromise increasingly enters through trusted components that customers assume are safe.

What changes for MSSPs: Detection that starts with an alert is too late. Providers need runtime controls and behavior-based detection that can spot setup activity before exploitation becomes obvious.

3. Encryption quietly eats into SOC margins

Encryption keeps growing, and it isn’t optional. But it makes security more expensive. Volk warns that protecting encrypted workloads “hits the bottom line.” The cost pressure is shifting. Exabeam’s Povolny describes AI-driven attacks that target GPU cycles and APIs, pushing cloud bills higher before anyone realizes it’s an attack. "Organizations running AI at scale will watch their cloud bills skyrocket in 2026 from what looks like legitimate traffic, and by the time they identify the attack pattern, the financial damage is already done. The shift is brutal because unlike bandwidth attacks that max out and plateau, compute-based attacks can keep escalating costs as long as the models keep responding." 

This isn’t a bandwidth problem. It’s a computation and investigation problem.

Identity makes it worse. Arun Shrestha, CEO and Co-Founder of BeyondID, says AI agents and service accounts create “an attack surface too large for rules-based security.” He says, "In 2026, security teams will shift from treating AI as a tool to treating it as a first-class identity. The explosion of AI agents and non-human service accounts is creating an attack surface too large for rules-based security. Organizations will need autonomous, AI-native identity defenses that can detect and adapt at machine speed."

What changes for MSSPs: You can’t run or price services as if every threat is a traffic spike and every investigation is manual. Encryption, APIs, and non-human credentials shift costs into areas many MSSPs don’t currently track or recover.

4. DDoS becomes a revenue problem, not an outage

Modern DDoS attacks don’t aim to knock systems offline. They aim to slow them down just enough. Eva Abergel at Radware says the threat now is “invisibility,” not size.

At the same time, early attack signals stay noisy. Vectra AI’s Oliver Tavakoli warns SOCs will keep drowning in false positives. "Early indicators will remain noisy, riddled with false positives that overwhelm already stretched SOC teams battling alert fatigue. The urgency to extract value from this early noisy signal will push organizations to embrace both traditional and generative AI to refine detection, triage, and investigation – fueling the rise of the “AI SOC.” This shift will be driven not by the desire to reduce cost but by the need for faster, better outcomes. While large vendors will continue to champion platform consolidation, genuine innovation will come from smaller startups experimenting with fringe ideas – some of them may end up redefining the SOC technology landscape."

Dashlane’s CISO Joanna Chen points to identity abuse and AI-driven impersonation creating subtle failures that look legitimate. She says, "Organizations must ruthlessly enforce well-known security principles such as least privilege access, segregation of duties, and granular permission controls. These fundamentals become even more critical as AI expands the attack surface and accelerates threat velocity.”

Customers don’t experience these as technical categories. They experience failed logins, stalled checkouts, and fraudulent approvals.

What changes for MSSPs: DDoS protection and identity assurance start to blend together. Customers expect providers to keep critical workflows working, even when attacks don’t look like attacks.

5. AI becomes required inside the SOC

Attackers are already using AI to automate reconnaissance and intrusion. Chip Witt, Principal Security Evangelist, Radware, says defenders need AI too - “real AI, not dashboard glitter” - because humans can’t keep up. He says, "We’re entering a full-blown AI arms race, and cybersecurity teams will be asked to play both offense and defense, often at the same time. And yes, it will feel a bit like trying to stop a drone with a butterfly net."

Systems aren’t built to identify intent in real time, and signatures arrive after the damage is done. Brennan Lodge adds that deep learning becomes core to SOC work, helping teams understand attacker behavior across time, not single alerts.

But speed isn’t enough. Trust matters. KeepIt CISO Kim Larsen says AI only works if customers understand how it makes decisions and security teams will need to use AI to understand exposure, strengthen detection, and model where risk concentrates. She says, "But "Success will depend on knowing how an AI system works, what data it relies on, and how decisions are made. CISOs will demand clarity, control, and accountability. The organizations that win will be those that use AI to enhance - not replace - human judgment.

Richard Bird, CSO at Singulr AI says accountability becomes unavoidable, with model lineage and audit trails becoming standard expectations. "2026 will be the year AI accountability is forced into day-to-day operations. Organizations spent much of 2025 trying to appear mature in governance, but the biggest lesson of the year was that most AI risks did not come from rogue models. They came from a lack of visibility and accountability. Security teams adopted AI as a supercharged intern rather than a self-driving SOC, and the gap between governance claims and governance reality became impossible to ignore."

What changes for MSSPs: AI must reduce noise, surface intent, and act quickly, while staying explainable enough that customers trust the outcome.

6. Compliance turns into an ongoing service obligation

Regulation keeps expanding, and customers expect help managing it. Radware’s CISO, Howard Taylor says 2026 brings more controls and more proof requirements. "2026 brings more regulations - DORA, NIS2, the EU AI Act - and every one of them demands more controls, more reporting and more proof that you know what’s happening inside your own network. Organizations that embrace it will earn trust in a security-savvy world. Others will … quietly rethink their business models."

That proof shows up in buying decisions. Jan Ursi, Global Vice President Partnerships of KeepIt says compliance expectations move from “requested” to “assumed,” with buyers demanding data sovereignty and strict operational guarantees.

What changes for MSSPs: Compliance work becomes continuous and technical. Providers that can produce defensible, real-world evidence gain an edge over those still delivering reports.

7. SOCs get leaner without cutting people

Burnout isn’t easing, and hiring alone isn’t fixing the SOC model. Russell Humphries, EVP of Product Management at ConnectWise, says the path forward is automation, not headcount expansion:

Simply adding more analysts doesn’t solve that problem. Without better signal extraction, SOCs stay stuck reacting to noise instead of investigating real threats. Tool sprawl compounds the issue. Fragmented stacks slow response and limit context across complex environments. Chaim Mazal, chief AI and security officer at Gigamon, frames the requirement bluntly:

What changes for MSSPs: The strongest SOCs won’t be the largest. They’ll be the most disciplined - automating routine work, keeping humans focused on real investigations, and maintaining visibility across messy, multi-tenant environments.