The threat environment changed. Not gradually. Abruptly.

Tools like Anthropic’s Claude Mythos and the latest generation of AI-assisted exploitation capabilities have fundamentally altered the economics of attacking an organization. What once required a skilled red team working over days can now be automated, scaled, and executed in hours. These tools don't just scan for known vulnerabilities. They map your environment, identify misconfigurations, chain weaknesses together, and find attack paths that a standard security review would never surface. They operate continuously, without fatigue, at a speed no human attacker team can match.

The assumption that defenders have time has always been fragile. AI has made it obsolete.

Plan To Reduce Exposure and Attack Surface

You need a plan. You need to be able to patch vulnerabilities at scale and speed.

The right response is a two-pillar strategy built around that reality. The first pillar reduces your exposure. The second ensures that what gets through doesn't stay long. Neither works without the other, and both are answers to the same underlying problem: the time advantage defenders once had is gone.

We’ve tracked nearly 100 real-world examples from the world's best software companies — Apple, Google, Mozilla, and others — in which AI-assisted tools uncovered serious vulnerabilities that traditional processes missed. A bug that existed for 20 years. Browser flaws discovered at scale. OS-level issues surfaced in hours, not months.

This is not a future threat. It is happening now.

Listen in as Ben Bowman, General Manager of Security, and Mitchell Reis, Security Operations Manager at Marco, discuss these three questions:

• What is the difference between scanning, patch management, and vulnerability management?
• Why is vulnerability remediation so important right now?
• Why is vulnerability remediation not included in managed service contracts today?

Pillar One - Shrink the Attack Surface. Start With What's Most Exposed.

The first pillar is reducing the attack surface. That means vulnerability management, but it also means something that gets far less attention: misconfiguration remediation.

Start with a reality check. AI-assisted tools discover vulnerabilities at a pace that outstrips most organizations' ability to close them. The backlog isn't a failure of effort. It's a structural problem. There are simply more known and discoverable vulnerabilities in any moderately complex environment than any team can realistically address on a continuous basis. Trying to close all of them isn't a strategy. It's a treadmill.

The right approach combines two things. First, ruthless prioritization of high-severity vulnerabilities based on actual exposure and exploitability, not just severity scores. A critical vulnerability in an externally accessible, business-critical system is a different problem from the same CVE sitting in an isolated internal tool. Treating them the same way misallocates resources and leaves the real risks underserved.

Second, systematic targeting of misconfigurations. These are the easy wins most organizations are leaving on the table, and they're exactly what AI-powered attackers are picking up. An overly permissive cloud storage bucket. An administrative port that made it from staging to production. A service account with privileges no one remembers assigning. 

These aren't vulnerabilities in the traditional sense, which is precisely why they get missed. They don't show up in standard patch cycles. But AI tools surface them at scale, and they frequently serve as the actual entry point in modern attacks. Addressing misconfigurations is often faster and more impactful per hour of effort than working down a vulnerability backlog.

That combination, high-severity vulnerabilities plus systematic misconfiguration remediation, is how you make meaningful, measurable progress on the attack surface when perfect closure isn't realistic.

Pillar Two - Assume Breach. Respond at Machine Speed.

Reducing your attack surface is necessary. It isn't sufficient. No program eliminates all exposure, and AI-assisted attackers aren't waiting for a perfect window. The second pillar addresses what happens when something gets through.

This is what "assume breach" means. It's not a statement of defeat. It's operational realism. And it changes the question you're asking from "How do we prevent all access?" to "How fast can we detect and respond when access happens?"

That question matters more than it ever has. Historically, threat actors operating inside a network had weeks. Weeks to conduct reconnaissance. Weeks to move laterally, escalate privileges, and position for exfiltration. That window is closing fast. AI-assisted attackers can compress what used to take weeks into hours, sometimes minutes. Automated lateral movement, AI-guided privilege escalation, and rapid data staging. The sequence that once gave defenders time to catch and respond now happens faster than a human analyst can triage an alert.

The only way to match that speed is to stop relying on human-paced response as the primary detection mechanism. The most advanced detection and response capabilities today use AI natively, not as an add-on feature, but as the operating model. AI agents continuously process telemetry across the environment, correlate signals that no individual analyst could connect in real time, and escalate confirmed threats fast enough to actually matter. When a threat actor is moving in hours, your response capability has to be operating in the same timeframe. Human analysts remain essential for high-stakes decisions and complex judgment calls, but the speed layer has to be machine-driven.

Partnering with service providers built around that model is what closes the window. When a threat actor gains a foothold, agentic detection and response are what determine whether you're containing an incident or rebuilding from a breach.

One Strategy. Two Lines of Defense.

These aren't parallel programs that happen to coexist. They're one strategy.

The work you do in Pillar One to reduce and prioritize your attack surface directly informs what the detection layer should be watching for. The detection layer, in turn, surfaces gaps that the Vulnerability Management program hasn't closed yet. Each pillar makes the other more effective, and both have to evolve continuously as the threat changes.

That's why the strategic layer matters. Program design, prioritization decisions, and the ongoing calibration of both pillars require someone with a clear picture of where your organization stands and where the threat is heading. 

Most organizations know they have gaps. The harder question is which gaps represent the most immediate risk right now, and how to build a program that addresses them in the right order.

A security assessment is where that answer starts. If you're not confident your current program is built for the threat environment as it exists today, that's the right conversation to have.

FAQ

How fast can AI-assisted attackers move inside a network?

AI-assisted attackers can compress what used to take weeks — reconnaissance, lateral movement, privilege escalation, and data staging — into hours, sometimes minutes. That speed has eliminated the response window most security programs were built around.

Why are misconfigurations a bigger risk than traditional vulnerabilities?

Misconfigurations like overly permissive cloud storage, exposed administrative ports, and forgotten service account privileges don't show up in standard patch cycles, but AI tools surface them at scale, and they frequently serve as the actual entry point in modern attacks. Addressing them is often faster and more impactful per hour of effort than working down a vulnerability backlog.

What does "assume breach" mean in cybersecurity?

"Assume breach" is operational realism, not a statement of defeat. It shifts the question from "How do we prevent all access?" to "How fast can we detect and respond when access happens?" — the only question that matches the speed of AI-assisted attackers.

What To Do

Find a partner, like Marco, that has vulnerability remediation programs that keep your business ahead by continuously identifying, prioritizing, and remediating risk across your environment.

The program should:

• Identify missing patches and exposed vulnerabilities across workstations, servers, and supported systems

• Prioritize the vulnerabilities that actually matter most to your business

• Coordinate and apply remediation before attackers can take advantage

• Reduce risk from aging software, unpatched systems, and misconfigurations

• Prepare for the coming wave of AI-discovered vulnerabilities

• Maintain visibility for cyber insurance, compliance, and executive reporting

The goal is not just to patch what is broken today. The goal is to build a repeatable process, so your business is ready for what comes next.

Let’s talk. Schedule a quick conversation to review your current patching and vulnerability exposure.

Not Sure Where You Stand Yet? Start With a Vulnerability Review.

A standalone Vulnerability Review gives you a clear picture: what's exposed, how severe, and what a remediation effort would realistically require. Starting a managed service from a shared, documented baseline means faster prioritization, cleaner scope, and better outcomes from day one.

Already a Marco managed customer? Your Threat Landscape Review is complimentary.