Apr 26, 2026 | Radiflow team
A new report from some of the most respected names in cybersecurity has confirmed what many of us suspected: AI has permanently changed the rules of the game.
The report — published this month by the CSA CISO Community, SANS, and the OWASP Gen AI Security Project — documents a turning point. Anthropic’s Claude Mythos model autonomously discovered thousands of previously unknown software vulnerabilities across every major operating system and browser. It then generated working exploits for them — with a 72% success rate — without any human guidance.
The practical consequence: the time between a vulnerability being discovered and an attacker being able to use it against you has fallen to under 20 hours. A year ago it was measured in weeks. The gap is still closing.
The report’s recommended response for IT security teams is clear and urgent: scan continuously, patch faster, automate remediation, adopt AI-powered defenses. All sensible advice — if you’re running a software company or a cloud environment. But most of our customers aren’t. They run factories, energy grids, water treatment plants, and transportation networks. And in those environments, the same advice hits a wall immediately.
To understand why OT security requires a different response, it helps to understand what OT actually is. Operational Technology refers to the hardware and software that controls physical industrial processes — the systems that open valves, run conveyor belts, manage power distribution, or treat drinking water. Unlike IT systems (laptops, servers, cloud services), OT systems interact directly with the physical world. A security failure doesn’t just mean data is stolen. It can mean a production line stops, a power outage occurs, or — in the worst cases — people are put at risk.
This physical dimension creates constraints that have no equivalent in IT security:
| IT environment — what’s possible | OT environment — the reality |
|---|---|
| ✓Patch a server remotely in minutes | ✗Patches require OEM approval and planned downtime |
| ✓Take a system offline without stopping the business | ✗Taking a system offline may halt production or risk safety |
| ✓Update software automatically, overnight | ✗Many devices run 24/7 and cannot be interrupted |
| ✓Replace a vulnerable component quickly | ✗Some legacy equipment has no patch available — ever |
| ✓Test security tools without operational risk | ✗Security tools that query devices can disrupt operations |
This is why the report’s core prescription — patch at AI speed — simply doesn’t translate to OT. A firmware update for an industrial controller typically requires scheduling a maintenance window weeks in advance, getting sign-off from the equipment manufacturer, coordinating with operations teams, and in regulated industries, satisfying a compliance process on top of all that. A six-month patch cycle is not a failure of discipline. It is the operational reality.
Since patching is rarely an immediate option, OT security programs need to be built around two different capabilities — both of which become significantly more important when the threat is moving at AI speed.
Most OT organizations rely on periodic risk assessments — a consultant comes in, produces a report, and the findings inform decisions for the next six to twelve months. In a world where new vulnerabilities are being discovered and weaponized within hours, that model no longer works.
What’s needed instead is continuous exposure assessment: an always-on process that automatically evaluates how new vulnerabilities affect your specific environment as soon as they are disclosed. Not all vulnerabilities carry the same risk in OT. A critical CVE affecting a component that is isolated from your core processes is very different from one affecting a controller managing a live production line. Continuous assessment makes that distinction in real time — prioritizing by actual business impact, not just technical severity scores — so security teams can focus on what matters and deploy the right compensating controls before an attacker gets there first.
This approach also keeps compliance reporting current. Frameworks like NIS2 and IEC 62443 require organizations to demonstrate ongoing risk management, not just point-in-time snapshots.
The second capability is visibility — knowing exactly what is on your OT network and detecting immediately when something abnormal happens.
This sounds straightforward, but in OT it is genuinely difficult. Industrial environments accumulate devices over decades. Many run proprietary protocols that standard IT security tools cannot read. Asset inventories are often outdated, incomplete, or simply nonexistent. And critically, the monitoring tools themselves must be completely passive — in OT, an unauthorized packet sent to the wrong controller can trigger a safety alarm or disrupt a live process. You cannot use the same active scanning techniques that work in IT.
Passive, protocol-aware monitoring solves this. By observing all network traffic without interacting with any device, it builds a complete picture of the network — every asset, every communication pattern, every protocol — and uses that as a behavioral baseline. When something deviates from normal, whether it’s a device communicating with an unfamiliar host, a controller receiving unexpected commands, or a new asset appearing on the network, it is flagged immediately. This is how you detect an AI-orchestrated attack in its early stages, before it reaches anything critical.
Segmentation — dividing the network into isolated zones so that a breach in one area cannot spread freely — is most effective when it is designed and validated against an accurate, live map of how your network actually communicates. Continuous monitoring provides exactly that.
These two pillars — continuous exposure assessment and continuous monitoring — are not new concepts. What is new is the urgency – When AI can discover and exploit a vulnerability within hours of its disclosure, an OT security program that reviews its risk posture quarterly and relies on signature-based detection is not equipped for the current threat environment.
Radiflow has built both capabilities specifically for industrial environments. CIARA delivers continuous, automated OT risk assessment mapped to NIS2, IEC 62443, and NIST CSF 2.0 — prioritizing exposure by operational impact so security leaders can make the right calls under pressure. iSID provides 100% passive network monitoring across all OT assets and protocols, building the behavioral baseline that makes real-time anomaly detection possible without touching a single operational device. Together they form a foundation that is built for the realities of industrial networks, not adapted from IT.
