AI Machine Speed is Breaking VPN Security

Key Findings from the Threatlabz 2026 VPN Risk Report 

Remote access isn’t a new problem. VPN risk isn’t a new conversation. What’s new, and what the Zscaler ThreatLabz 2026 VPN Risk Report makes unmistakably clear, is the speed at which the threat landscape is changing.

Why this matters now: The #1 fear among defenders is AI speed, and it’s already showing up in the field. 79% fear AI exploitation speed. The same VPN controls that felt “good enough” even a year ago can become dangerously slow when attackers can iterate and adapt at machine speed.

AI machine speed compresses the time from weakness to exploit, while VPN visibility and patch cycles often can’t keep up. Meanwhile, many organizations are still defending VPN-centric access with realities that move far slower: limited inspection coverage, and access models that can expand blast radius once a user is connected.

This report is a snapshot of where the industry is right now, and a wake-up call that “good enough” remote access controls can become “not even close” when adversaries scale faster than defenders can respond.

Below are the key findings from our survey of 822 IT and cybersecurity professionals. It is a real-world view of what teams are seeing and what they mean for CISOs, network/security ops, and IT leadership, followed by practical actions you can take to shrink the breach window.

What the report reveals: AI is already here, and VPN visibility is lagging

The report shows AI-enabled attacks are no longer hypothetical:

• 61% of organizations report encountering AI-enabled attacks in the last 12 months.

But the bigger issue is what comes next: visibility and control. The report found:

• 70% say they have limited or no visibility into AI-enabled threats moving over VPN. And there’s an additional layer to that visibility problem:
• One in five organizations cannot distinguish an AI-assisted intrusion from a conventional attack.
• Only one in four has managed to deploy AI-powered monitoring (24%).

That combination is the perfect recipe for faster compromise. AI helps attackers iterate quickly on social engineering, reconnaissance, and targeting, while many teams still struggle to see enough of what’s happening inside VPN connections to catch abuse early.

The breach window is widening because patch timelines don’t match exploit timelines

When critical VPN vulnerabilities emerge, the risk isn’t just the CVE. It’s the time it takes to remediate across upgrade cycles, change windows, and validation. 

The report highlights a difficult operational reality:

• 54% of organizations say it takes a week or more to patch critical VPN vulnerabilities. It’s not just a technical problem. It’s an operational one.
• 56% rank patching as their top operational challenge.

A week may be a perfectly reasonable timeframe in traditional IT operations. In an AI-accelerated threat environment, it can be a lifetime. Attackers don’t need to “wait you out” anymore. They can identify targets, test attack paths, and operationalize new techniques quickly, often while defenders are still triaging impact, coordinating change windows, and validating fixes.

Encrypted traffic is creating blind spots where attackers can operate

Encryption is table stakes. But encryption without visibility can become a hiding place.

The report found:

• 1 in 3 organizations inspect 0% of encrypted VPN traffic.

Even among organizations that do inspect, near-total visibility is rare. 

• Only 8% can inspect virtually everything.

This is a defining vulnerability in modern environments. If meaningful traffic flows are opaque, defenders lose detection opportunities and response confidence. In the AI era, adversaries can move quickly and quietly, reducing the dwell time required to be successful.

Lateral movement is the multiplier once attackers get in 

Once an attacker gets a foothold, the real risk is how far they can move. The report shows that most VPN environments still grant network-level reach rather than app-level containment. 

• Only 11% can restrict a compromised session to a single application. 

In other words, in the vast majority of organizations, a stolen credential can become a pathway to broader internal access. This is exactly the condition attackers exploit to move laterally and expand impact.

User behavior is a risk signal, not a blame point

One of the most actionable findings in the report is also one of the most human:

• 63% say users bypass VPN controls to reach apps faster.

The “why” behind bypass is most often about performance and reliability.

• Slow connections top the complaint list at 29%, followed by inconsistent device behavior (23%) and frequent disconnections (19%).

This isn’t about users being careless. It’s about friction. When secure access feels slow, inconsistent, or cumbersome, people route around it to get work done. Those workarounds create “shadow access paths” that are harder to govern and easier to exploit.

For IT leadership, this is a reliability and productivity warning: if access isn’t dependable, people will find alternatives.

For security and network ops, it’s a control-plane warning: policy enforcement becomes fragmented across tools and paths.

For CISOs, it becomes a risk governance issue: if “official access” isn’t the default, then your risk model is built on exceptions.

What this means for leaders: it’s no longer “VPN secure vs not secure”

The report’s headline, AI machine speed kills VPN security, is less about a single technology and more about a structural mismatch:

• AI accelerates attacker speed and variation
• VPN models often expand reach once connected
• Visibility into what matters can be incomplete (especially with encryption)
• Patch and change timelines remain constrained
• User workarounds widen the attack surface

This is how breach windows open. And in 2026, breach windows don’t stay open because teams don’t care. They stay open because the architecture and operations weren’t built to close them fast enough.

Containment-first access is becoming the mainstream direction

The report’s findings are pushing many organizations to evolve from network-based remote access toward app-based access principles by reducing broad connectivity, tightening access policies, and improving visibility and control without adding friction.

That momentum is already mainstream:

• 84% are planning or transitioning to zero trust, up from 78% two years ago.

If you’re evaluating modernization, keep it outcome-driven:

• Shrink blast radius (limit what a session can reach)
• Improve meaningful visibility (especially around encrypted traffic patterns and sensitive apps)
• Enforce access using identity, context, and device posture
• Deliver a user experience that makes the secure path the easy path

The hero's move isn’t “buying something.” It’s leading a shift from connectivity-first to containment-first access.

The report is a benchmark—use it to take your next step

The ThreatLabz 2026 VPN Risk Report offers more than stats. It offers a benchmark for how organizations are experiencing AI-driven pressure on VPN security visibility gaps, patch timelines, and user workarounds included.

AI machine speed kills VPN security when defenders are forced to operate with broad reach, blind spots, and slow exposure windows. The way forward is measurable containment: smaller blast radius, faster detection, fewer bypass paths, and an access model built for how work happens now. Download the ThreatLabz 2026 VPN Risk Report to see the full data behind these findings.