For years, cybersecurity professionals described AI as a tool that helped attackers work faster. That framing is now outdated.

In 2025, security researchers documented the first fully end-to-end autonomous cyberattack — one designed, executed, and adapted by AI without meaningful human involvement. Over the same period, AI-driven attacks increased by nearly 50% year over year, and the average cost of a data breach climbed to $5.72 million. The threat landscape hasn't just evolved. It has fundamentally changed.

For managed service providers (MSPs) responsible for protecting small and midsize businesses, this shift carries a direct operational consequence: the traditional model of human analysts triaging alerts and executing reactive playbooks is no longer sufficient on its own. When the attack is autonomous, the defense must be too.

From assistant to operator

The first wave of AI in cybersecurity was assistive. Tools flagged anomalies, surfaced recommendations, and helped analysts process information faster. The attacker side followed the same arc — AI drafted phishing emails, generated malware variants, and helped threat actors move more efficiently.

The current wave is different. AI is no longer just assisting; it is operating. On the offensive side, that means attacks that identify targets, probe defenses, adapt tactics, and execute — all without waiting for a human to approve the next step.

This has significant implications for how MSPs must think about the security platforms they deploy. A solution designed around human response times was built for a threat environment that no longer exists.

The sectors most at risk

Not all industries face equal exposure. Manufacturing currently accounts for roughly one in four cyberattacks worldwide, driven by the complexity of operational technology environments and the high cost of downtime. Finance and insurance follow closely behind. Both sectors share a common profile: critical operations, large volumes of sensitive data, and intricate technology ecosystems that create many potential entry points.

For MSPs serving clients in these industries — or in any sector where operational disruption carries serious consequences — the urgency of modernizing security operations is particularly acute.

What autonomous resilience actually looks like

The response to autonomous attacks isn't more headcount or more alerts. It's a different architectural posture — one built around systems that can detect, analyze, and act at machine speed.

This means moving beyond traditional endpoint detection toward platforms that integrate AI at the response layer, not just the detection layer. The practical difference matters: detection tells you something happened; autonomous response contains and neutralizes the threat before it spreads.

For MSPs evaluating their security stack, three capabilities are becoming table stakes:

AI-driven triage. Platforms that can autonomously sort and prioritize alerts reduce the burden on human analysts and cut the mean time to respond — in some cases by 30 to 50 percent compared to manual processes.

Predictive, adaptive defense models. Static playbooks are reactive by design. Modern security platforms continuously learn from new threat intelligence and adjust policies automatically, closing gaps before attackers can exploit them.

Human-supervised autonomy. The goal isn't to remove human judgment from security operations — it's to ensure that human analysts are focused on decisions that require judgment, while routine detection and containment are handled at the speed the threat environment demands.

The strategic question for MSPs

The businesses that rely on MSPs for cybersecurity aren't asking whether AI will affect their security posture. It already has. The question they're increasingly asking — even if they don't frame it this way — is whether their security provider has kept pace.

MSPs that can answer that question credibly, with platforms that reflect how attacks actually operate today, will be better positioned to retain clients, expand services, and differentiate in a crowded market.

The machine war isn't coming. It's already underway. The MSPs that recognize this, and build their operations accordingly, are the ones who will still be winning on behalf of their clients a few years from now.

Learn more about how WatchGuard's AI-Powered XDR and Managed Detection & Response solutions are built for the autonomous threat era.