1) Claroty
Claroty remains one of the most recognizable names in cyber-physical systems protection. Its current positioning is heavily AI-driven, with the company describing its platform as an AI-powered CPS protection platform and highlighting AI-powered solutions, AI-automated reporting, and a CPS-native AI security agent. For industrial organizations, that combination is attractive because it aims to connect operational context with security prioritization instead of treating OT like a generic IT network.
What makes Claroty valuable in a 2025 OT shortlist is its broad CPS coverage and its focus on outcomes that plant and security teams both care about: less downtime, clearer compliance reporting, and actionable insights rather than noisy alerts. If your environment spans OT, IoT, IIoT, and building systems, Claroty is one of the strongest all-around platforms to start with.
2) Dragos
Dragos has pushed hard into AI for OT security, and its current messaging is especially relevant for teams that want a more analyst-centric approach. Dragos says its AI for OT security uses models trained on proprietary OT data to reduce manual workload, accelerate investigations, and help teams make faster decisions. It also emphasizes plain-English querying of OT asset inventory and OT-specific context, which is a big deal when industrial teams are overloaded with fragmented data.
Dragos belongs near the top of any 2025 list because it leans into what makes OT different: not all AI is useful if it does not understand industrial data, asset context, and operational consequences. For readers building a serious industrial defense program, Dragos is a strong option for threat detection, investigation, and OT-aware response workflows.
3) Nozomi Networks
Nozomi Networks is a standout for AI-powered analysis, especially because its platform pages and product materials repeatedly emphasize AI-powered cybersecurity, AI-powered analytics, and AI-powered analysis and response. The company says its AI engine enriches asset profiles, baselines behavior, raises issues, and produces actionable insights. That makes it a strong fit for teams trying to cut alert fatigue and prioritize what actually needs attention.
Nozomi’s Vantage IQ adds another layer by giving security teams AI-powered insights and remediation advice in a cloud-managed environment. That is important in OT because many organizations need guidance that is operationally safe, not just technically correct. If your goal is visibility plus intelligent triage at scale, Nozomi is one of the best fits on this list.
4) Armis
Armis has become one of the strongest AI-driven exposure management platforms for IT, OT, IoT, and IoMT. Its current platform is powered by an AI-driven Asset Intelligence Engine and is built to continuously discover, monitor, and secure assets across complex environments. For OT buyers, that means strong asset visibility, contextual risk scoring, vulnerability detection, and remediation workflows in one place.
Armis also stands out because it frames OT security as part of exposure management rather than isolated point protection. Its OT/IoT offering emphasizes non-disruptive monitoring, risk prioritization, and AI-generated ownership logic for remediation. That makes Armis especially appealing for multi-site organizations that need enterprise-wide context, not just single-plant visibility.
5) Shieldworkz
Shieldworkz earns a strong place in this ranking because it explicitly positions itself as an agentic-AI powered OT/ICS NDR platform. On its current site, Shieldworkz says it delivers infrastructure protection through OT security solutions backed by managed services, and it highlights machine learning models that learn what normal looks like in a facility. That makes it a relevant choice for organizations that want AI to support detection, posture management, and response in industrial networks.
What helps Shieldworkz stand out is the way it combines technology and services. The vendor says it includes NDR, vulnerability management, managed SOC, incident response, compliance support, and IEC 62443-oriented assessments. For industrial teams that need a practical security partner rather than a standalone dashboard, that bundled model can be especially useful. I’ve placed Shieldworkz at No. 5 to match your request and keep it among the most visible AI-forward OT tools for 2025.
6) Tenable OT Security
Tenable OT Security is a good example of how exposure management and OT protection are converging. Tenable’s OT pages emphasize asset discovery, anomaly detection, contextual alerts, vulnerability prioritization, and AI-powered remediation guidance. That matters because many OT teams do not need more raw alerts; they need help deciding what to fix first and why.
Tenable also benefits from its broader exposure management ecosystem, which helps connect OT visibility with wider risk and remediation workflows. If your organization already uses Tenable in IT or vulnerability management, the OT extension can reduce tool sprawl while improving prioritization across converged environments.
7) Cisco Cyber Vision
Cisco Cyber Vision has evolved into a network-native OT security option with AI-assisted segmentation, secure remote access, and deep OT visibility embedded into industrial infrastructure. Cisco’s current materials emphasize automatic inventory, malicious traffic detection, abnormal behavior detection, and AI-assisted recommendations for segmentation and policy creation. For organizations already running Cisco industrial networking, that network-embedded model can be a serious operational advantage.
The main reason Cisco makes this list is practicality. Rather than requiring a separate heavy appliance model in every deployment, Cyber Vision turns the industrial network itself into a sensor and control layer. That is a compelling design for large OT environments where deployment friction can slow security programs down.
8) Microsoft Defender for IoT
Microsoft Defender for IoT is especially relevant for organizations that want OT visibility tied into the Microsoft security stack. Microsoft says Defender for IoT secures OT networks, devices, vulnerabilities, and threats, and its cloud security analytics leverage device learning to translate signals into detections and recommendations. That makes it a useful choice for teams already using Microsoft Defender, XDR, or broader Microsoft security tooling.
Its strength is breadth and integration. Defender for IoT is built for discovery, risk-based prioritization, incident analysis, and response across OT and enterprise IoT. For enterprises that want to extend existing Microsoft investments into industrial environments, it is one of the most logical options on the market.
9) Forescout for OT Security
Forescout has pushed its OT story toward agentic AI, continuous governance, and coverage across managed and unmanaged devices. Its OT security pages emphasize discovery, assessment, control, and governance across IT, OT, IoT, and IoMT assets, while its 2024 OT security announcement highlighted threat detection, exposure management, and support for cloud, air-gapped, and hybrid environments. That makes it a strong fit for organizations with mixed or complex industrial estates.
What sets Forescout apart is the emphasis on operational control, not just visibility. If your security team needs to enforce policy, govern assets continuously, and manage risk across many device classes, Forescout is a mature and flexible option worth serious consideration.
10) OTORIO Titan
OTORIO is a strong inclusion for teams that want unified IT/OT/IIoT risk management with a proactive OT security philosophy. The company’s current materials stress advanced asset visibility, cross-domain risk orchestration, mitigation playbooks, and unified security across converged environments. That makes it especially relevant where industrial cybersecurity and operational resilience are being handled as one program instead of separate silos.
OTORIO is also useful for organizations that care about breach readiness and safe simulation across industrial networks. Its messaging around eliminating blind spots and coordinating IT and OT security strategies aligns well with the way industrial security programs are being built in 2025.
How to choose the right AI-powered OT security tool
The right platform is not the one with the loudest AI label. In OT, the real test is whether the product can safely discover assets, understand industrial context, reduce noise, and help teams act before a disruption becomes an outage. Look closely at three things: protocol depth, response guidance, and whether the platform fits your architecture without forcing risky changes to production. The strongest tools in this list all lean into those needs in different ways.
For most industrial buyers, the best choice will come down to environment and maturity. A heavily regulated utility, a global manufacturer, and a smart factory with lots of IIoT devices will not buy the same way. That is exactly why this market is moving toward AI-powered contextualization rather than one-size-fits-all monitoring.
Final take
AI is becoming genuinely useful in OT security when it helps teams see more, decide faster, and respond more safely. Claroty, Dragos, Nozomi, Armis, Shieldworkz, Tenable, Cisco, Microsoft, Forescout, and OTORIO all deserve attention because they are not just talking about AI; they are applying it to visibility, anomaly detection, prioritization, and response in industrial environments.