Key Takeaways

  • Claire is a new CPS-native AI agent designed to support security and resilience across industrial and critical infrastructure.
  • The launch highlights rising demand for context-aware AI in OT and ICS settings where safety and uptime are central.
  • Analysts from Gartner note increasing interest in AI-assisted protection as organizations face growing cyber-physical risks.

Claire is a newly introduced cyber-physical systems (CPS)-native AI security agent trained on more than a decade of operational data. Claroty developed the tool to give industrial, healthcare, commercial, and public sector users comprehensive visibility and faster decision-making capabilities across their operational estates.

Many organizations running complex OT or ICS networks continue to struggle with visibility. The new AI agent addresses this gap by integrating operational context into every step of detection and investigation. It then pairs that context with deterministic, scalable actions designed to protect mission-critical infrastructure.

Unlike generic AI security offerings, Claire is trained on a massive CPS-specific data lake containing detailed information from over 6,500 unique OEMs and medical device manufacturers. These deployments span more than 20,000 sites across 50 sectors and 60 countries. Claroty emphasizes operational integrity to counter pressures tied to digital transformation and the rapid growth of industrial robotics. According to Goldman Sachs, the total addressable market for humanoid robots is projected to reach $38 billion by 2035, up from previous projections of $6 billion, with more than 250,000 humanoid robot shipments expected in 2030. This expansion significantly broadens the surface area attackers can attempt to exploit.

Analysts at Gartner note that AI is reshaping CPS security. Their guidance points to the need for cybersecurity leaders to balance deterministic safety with AI-driven prediction, enrichment, and investigation to reduce risk and automate complexity without disrupting operations. The launch fits into this industry demand, as the company frames the agent as a tool to deliver trustworthy insights with swift, scalable actions.

The platform supports several core functions, including reducing risk by prioritizing exposures that could disrupt business continuity. It also strengthens operational resilience using research-backed insight from the company's Team82 threat research group, and eases compliance work through automated mapping to relevant frameworks and OEM patch expectations. These goals align with the common pain points OT and ICS teams face, where asset inventories constantly change, patch windows remain tight, and outages carry physical consequences rarely seen in traditional IT environments.

The new agent is backed by AI-generated dashboards and reporting already present in the company's existing platforms, alongside capabilities from its CPS data library. These components combine into a unified architecture designed to orchestrate the entire journey from discovery to defense.

Teams responsible for essential services require methods to manage high volumes of alerts without losing operational context. Because most AI-powered cybersecurity solutions prioritize speed and simplicity over accuracy, organizations must ensure systems behave reliably under the stress of mission-critical environments. The new agent merges this requirement with real operational workflows to maintain oversight and deterministic control.

Demand for CPS-focused security continues to rise, and the complexity of these environments leads operators to seek tools that incorporate domain-specific understanding. As the threat lifecycle hyper-accelerates, delivering attacks that move faster than human targets can react, organizations are adopting predictive AI support to protect infrastructure integrity.

Security teams require AI that understands the operational landscape instead of translating it into generic IT terms. Maintaining uptime remains the ultimate priority, particularly in sectors where downtime carries severe physical implications. As operators evaluate how AI fits into their broader strategies, security agents built on specialized CPS training and context will play a central role in ensuring safety and availability.