AI has changed the economics of cyber offense. Work that once took skilled teams months, such as finding a flaw in firmware, a binary, or a misconfigured enforcement layer, can now be done in hours or minutes. Defenders are being told to match that speed, and the instinct to scan and patch everything tends to overwhelm them. A unidirectional network, built on hardware-enforced data diodes, offers a different answer: remove the attack path before it has to be defended at all.

What Are AI Companies Saying About Reducing Attack Surfaces?

The AI industry itself is converging on a different starting point. Frontier model developers have publicly disclosed incidents in which models under evaluation got out of their test environments, including OpenAI’s account of a model breaching a third party’s network and Anthropic’s disclosure of incidents in its own cybersecurity evaluations. NVIDIA has since launched its Open Agent Safety Platform, citing recent incidents in which agents circumvented security controls at the application layer, and arguing that enterprises need an enforceable boundary outside the model and agent harness. And Google’s July 2026 white paper on defending against machine-speed threats says it focuses first on reducing its overall attack surface. Its published four-step framework, announced with Google AI Threat Defense, runs Prepare, Scan, Remediate, Monitor, where “Prepare” means eliminating unnecessary exposure. 

What Does Government Guidance Say About Reducing Attack Surface in Critical Infrastructure Security?

Reducing attack surface has been a cornerstone of critical infrastructure security and defense grade cybersecurity guidance for a decade. A 2015 DHS, FBI, and NSA paper, Seven Steps to Effectively Defend Industrial Control Systems, listed “reduce your attack surface area” among its seven strategies. The guidance has only sharpened since. CISA’s May 2025 Primary Mitigations to Reduce Cyber Threats to Operational Technology calls for removing OT connections to the public internet and segmenting IT from OT. In January 2026, the UK’s NCSC, CISA, the FBI, and partner agencies across the Five Eyes and Europe published Secure Connectivity Principles for Operational Technology. Its second principle states that the more assets exposed at the network edge, the broader the attack surface, and advises that connections be initiated outbound from within the OT environment to avoid exposing inbound ports. A hardware-enforced one-way path, or unidirectional network, takes that principle to its physical conclusion. Defenders can’t scan and patch everything at machine speed, but they can shrink what needs defending. 

How Does Hardware-Enforced Security Map to the Prepare-Scan-Remediate-Monitor Framework?

Most of the AI-era frameworks concentrate on software: code scanning, AI-assisted patching, hardened containers. The same principle applies at the network boundary, and that’s where hardware-enforced security, including unidirectional network architecture and cross domain security solutions, fits. Here is how it maps to each step. 

Prepare: Reduce the Attack Surface 

The most effective way to reduce an attack surface is to remove the path entirely. Many connections exist only to send data out: telemetry, alarms, logs, and sensor feeds moving from a protected environment to analytics, a SIEM, or the cloud. They don’t need a network path back in, yet conventional two-way connections leave one open anyway. 

A hardware-enforced data diode removes that path. In a one-way deployment, approved data flows out while the hardware physically cannot carry traffic in the reverse direction. There is no rule to misconfigure, no credential to steal, and no firewall flaw to exploit across that connection. 

Forrester’s research shows why this matters. In its July 2026 report, When You Can’t Just Pull the Plug: Designing Incident Response for OT, 28% of OT security decision-makers whose environments suffered an incident said it started in IT and cascaded into OT. A path that doesn’t exist can’t carry that cascade. 

Scan 

Scanning works better on a smaller surface. At the boundaries that remain, Cross Domain Solutions add content-level inspection. Data is checked against known-good policy rather than only screened for known-bad signatures, and for supported formats, non-conforming data is dropped and logged. This is where content disarm and reconstruction, syntax and semantic verification, and protocol-aware filtering do their work. Owl XD Air 6 applies the same known-good approach to removable media, running multiple independent antivirus engines alongside two independent CDR engines to inspect and sanitize files before they enter closed environments. 

Remediate 

Remediation remains the domain of patching, configuration management, and incident response. Architecture still helps here. Many OT and SCADA network security environments can’t be patched quickly or taken offline without safety and uptime consequences, so the fewer routes an attacker has to them, the less remediation depends on speed alone. 

Response itself needs care, too. Every time a responder connects to an infected host, a clean network can be exposed. The Owl Incident Response Diode gives responders a hardware-enforced, one-way path for collecting forensic files off a compromised endpoint, with no return path for callback or reinfection. 

Monitor 

Monitoring is only as trustworthy as the logs behind it. If an agent or an intruder compromises a system, the logs on that system are suspect. Owl Cross Domain Solutions provide the independent record. They keep an audit trail of every transfer across the boundary, collected outside the environment being watched, so security teams have something to compare against local logs and a way to detect tampering quickly. It also gives organizations a defensible record of what crossed the boundary, which matters as regulators and courts work out who is responsible when an autonomous agent causes harm. 

Why This Matters for AI Environments 

Software controls run in the same environment as the thing they’re trying to constrain. A boundary enforced in hardware, outside the compute stack, doesn’t depend on that environment behaving. Policy can be argued with. Hardware can’t. 

AI data centers have a second reason to care. Their power, cooling, and building-management systems are OT  also known as cyber-physical systems (CPS), and those systems feed telemetry to a growing number of IT, SOC, and cloud destinations. With 66 GW of capacity under construction and 95% of it already pre-committed, according to JLL, many of those IT/OT boundaries are being specified right now. It is far easier to make a connection physically one-way at the design stage than to retrofit it after the facility is running. 

Where Owl Fits 

Owl’s Protocol Filtering Diodes are built for this boundary. Owl Talon® One supports facility and control boundaries at up to 1 Gbps, well suited for utility cyber security, power grid cybersecurity, and oil and gas cybersecurity deployments, while Owl Talon Torrent® supports hyperscale, AI, and HPC environments at up to 100 Gbps with hardware-enforced directionality. Owl Cross Domain Solutions handle the cases where governed, bidirectional exchange is genuinely required, with an auditable record of every transfer. For removable media entering closed environments, Owl XD Air 6 inspects and sanitizes files before they cross, and the Owl Incident Response Diode gives responders a one-way path for collecting forensic files off compromised endpoints. Owl’s technology is relied on in 3 of 4 U.S. nuclear power plants, environments where always-on operation and rigorous compliance are the baseline. 

A Practical Starting Point 

Map your critical systems. For each connection, ask whether data truly needs to flow in both directions. Wherever the answer is no, a hardware-enforced one-way path shrinks the attack surface before anything else in the defense stack has to work. This same mapping exercise supports ICS vulnerability management programs across SCADA cybersecurity and OPC integration points, wherever they sit in the environment.

Start with the research: download the Forrester report on designing incident response for data center OT. Ready to map your own boundaries? Talk to an Owl data center security expert.