The collaboration expands on Cato’s existing work with OpenAI, specifically targeting the improvement of CVE discovery and prioritization. By leveraging Cato’s AI-native architecture, the partnership aims to provide the visibility and control necessary for organizations to maintain security while scaling their AI interactions. Beyond defensive maneuvers, the companies intend to establish rigorous standards for safety and abuse prevention, implementing controls to monitor and mitigate unsanctioned activities across enterprise networks.

Shlomo Kramer, co-founder and CEO of Cato Networks, noted that security in the AI era requires more than just model access; it demands a deep connection between these models and the underlying data and architectural controls of the network. This partnership seeks to bridge the gap between emerging threats and actionable protection by enabling autonomous security operations that function at machine speed. Cato recently showcased its capacity for rapid response by achieving full agentic CVE mitigation within 45 minutes, a benchmark it hopes to refine through this new initiative.