How Claroty Claire™ Brings AI-Powered Cybersecurity to Cyber-Physical Systems

The White House recently launched the Gold Eagle initiative, bringing frontier AI models into national cybersecurity defense to accelerate vulnerability triage, and cross-sector coordination. As highlighted in our recent analysis of the Gold Eagle launch, centralized coordination and AI-driven discovery offer a long-overdue mechanism to identify and remediate security issues in software and firmware before adversaries can exploit them.

However, for organizations heavy in cyber-physical systems (CPS) — spanning operational technology (OT), internet of medical things (IoMT), building management systems (BMS), and industrial IoT (IIoT) — finding vulnerabilities is only the first step. When digital errors carry physical consequences, speed without context is a liability.

Enter: Claroty Claire^TM

Why National AI Scanning Requires CPS-Native Intelligence

Operational environments do not follow the development, testing, and implementation cadence of software patches. In fragile networks where an unexpected reboot can stop a manufacturing line, disrupt hospital operations, or impact public safety, conventional patch-first strategies fail. This is already becoming an exaggerated challenge for critical infrastructure companies that will quickly be overwhelmed by the volume of disclosures of vulnerabilities uncovered by frontier models. Instead, these organizations should focus on prioritizing and managing exposure remediation based on desired business outcomes.  

Therefore, exposure management for CPS requires organizational context. It requires knowing which assets carry critical business functions, which environments cannot tolerate downtime, and which compensating controls offer immediate protection without risking operational safety.

While general-purpose LLMs focus on rapid output, operational security demands contextual precision. This is why we built Claroty Claire — the industry's first CPS-native AI agent.

Benefits of a CPS-Native AI Security Agent

Claroty Claire is built specifically to bridge the operational experience gap. Powered by CPS domain-specific language models (DSLMs) trained on over a decade of domain data, Claroty’s CPS Library, and Team82 threat research, Claire  thinks in operational terms. It understands OT protocols, physical consequences, and process context, providing security and engineering teams with actionable certainty.

Here is how can Claire operationalize high-volume intelligence from initiatives such as Gold Eagle, turning raw vulnerability feeds into safe, prioritized execution across the xDome platform:

1. Context-Driven Visibility

Rather than overwhelming security operation centers (SOCs) with thousands of uncontextualized CVEs, Claire acts as a single source of operational truth for both security analysts and site engineers.

• Natural Language Queries: Teams can query complex operational environments using plain language to immediately identify critical dependencies.

• Asset Intelligence: Claire correlates device risk using high-precision asset identification (CPS-ID) and network clustering into zones and policy groups.

2. AI-Driven Prioritization

Gold Eagle provides national-scale alerts, but individual CPS environments vary widely. Claire replaces reliance on generic CVSS rankings with tailored, context-rich recommendations.

• Risk-Based Prioritization: Claire evaluates vulnerabilities against the physical process context, attack paths, and asset criticality.

• Operational Actionability: Instead of pushing unnecessary or dangerous firmware updates, it surfaces targeted risk-reduction steps and compensating controls.

3. Trusted, CPS-Safe Actions

In operational environments, speed should never compromise uptime. Claire automates triage and response workflows while keeping a human-in-the-loop model.

• Protection Built for Uptime: All agentic actions and workflows are designed specifically for fragile networks and unpredictable industrial devices.

• Human-in-the-Loop Safeguards: Claire  ensures that even predictable remediation steps are verified by operators before execution, maintaining process integrity and preventing downtime.

Aligning National Strategy with Operational Reality

Navigating the AI World with Confidence

The arrival of frontier AI models makes rapid vulnerability discovery an inescapable reality. National initiatives such as Gold Eagle provide essential cross-sector coordination, but protecting critical infrastructure ultimately depends on what happens inside the operational environment.

By combining deep visibility, contextual insights, and uptime-focused action, Claire empowers security leaders and asset operators to act on threats confidently — ensuring operational resilience remains uncompromised.

Ready to see how Claroty Claire^TM brings CPS-native intelligence to your security stack? Explore Claire or schedule a demo with our team today.