Traditional MDR Is Reaching Its Limit

COMMENTARY: Traditional MDR is under pressure because there is too much noise and not enough time. Alerts are growing, false positives are piling up, and attackers are moving faster with AI. That creates a real problem for MSSPs. They cannot depend only on slow triage, monthly patching, and manual approval steps anymore. MDR has to move toward faster containment, continuous exposure management, agentic SOC workflows, and remediation that reduces risk quickly. Customers will not just ask how many alerts were reviewed. They will want to know how fast real risk was found, contained, and reduced. That is where MDR has to go.

Traditional managed detection and response (MDR) is reaching the end of its useful life. Not because detection and response are no longer necessary, but because the assumptions the model was built on no longer hold.

For years, security operations followed a predictable rhythm: discover vulnerabilities, prioritize them, patch systems, and recover. This cycle, often executed on a monthly cadence, was sufficient when both attackers and defenders operated at human speed.

That world no longer exists.

Rapid advances in AI, combined with machine-speed vulnerability discovery and exploitation, have fundamentally changed the pace of cyber operations. What once took weeks now unfolds in hours, or even minutes. Additionally, human-driven workflows alone can no longer keep up. Cybercriminals are moving at machine speed, and security must as well.

The attack surface doesn’t wait for your change management window. Neither do your adversaries.

Over the past 12 months, operations at Optiv processed over 202,000 cases from hundreds of clients, generated from millions of underlying alerts. A staggering 97% of those cases were false positives or low-fidelity noise, while the remaining genuine alerts required triage in an average of just 37 minutes.

The pressure is mounting. Case volume handled by our SOC has grown from an average of 16,000 per month in 2025 to over 20,000 per month today — a 25% increase in a single year. The underlying growth in alert volume is outpacing our ability to scale manually. Agentic automation is the only solution to process this volume at scale and reduce triage times. In fact, where we have deployed agentic use cases, we are measuring a 79% reduction in triage time.

This is the math that breaks traditional MDR: more noise, less time, and an accelerating curve. To keep up, MDR must shift to agentic workloads that include remediation to lock down the attack surface.

A major inflection point came with the April 7 introduction of Anthropic’s Claude Mythos Preview. Described as a cybersecurity AI system too powerful for general release, Mythos illustrates what fully automated offensive capability looks like in practice.

The most problematic part is that Mythos isn’t an outlier. It’s a preview of what will soon be standard. We are entering a world where every frontier model release carries immediate security implications.

Advanced offensive capability is now continuously refreshed. New model, new capability surface. New capability surface, new exposure. The window between discovery and weaponization has collapsed to hours, sometimes minutes. The result is an environment where zero-day conditions are effectively permanent, multiplied across every model release cycle.

Human approval chains, governance bottlenecks, and manual triage workflows were designed for a world where attackers moved at human speed. In a machine-speed threat environment, those same structures introduce delay, and delay becomes risk. What once ensured control now creates exposure.

Attackers scale instantly. Defenders scale in silos. That asymmetry is the core problem.

This is not a process failure. It’s an operating model failure.

The fundamental question in cybersecurity has changed.

It is no longer: How well can we prevent entry?

It is now: How quickly can we contain impact?

Answering that question requires a fundamental redesign of the MDR model from reactive, periodic security to proactive, continuous security.

Here are five essential elements of a proactive MDR model:

Adversaries are already operating with agentic, AI-driven capabilities. The gap between a well-resourced attacker and a reactive defender is no longer a capability gap, it’s an operating model gap.

Organizations that remain reactive will fall behind. The shift to proactive, continuous security is a requirement for operating in a machine-speed threat environment.

The window for evolution is closing.

Organizations that redesign their security posture around continuous exposure management, automated remediation, and AI-assisted defense will be positioned to contain impact when it matters most.

Those that don’t won’t be measuring response times. They’ll be measuring consequences.

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