AI Security is a critical part of secure AI adoption by enterprises. It covers the governance of Public GenAI usage by employees, monitoring, testing, and securing Private AI models and agents, and controlling the enterprise’s overall AI security posture (AI-SPM).
The rapid adoption of Generative AI (GenAI) tools, including unsanctioned “Shadow AI” introduces new security, privacy, and compliance risks. Cato enables organizations to use GenAI securely with full visibility and control into what GenAI apps are used, and what data is shared with the AI models without compromising data security or regulatory compliance. With Cato IT teams can understand AI adoption trends with the business, assess risks and enforce granular access controls, and detect unauthorized data exchange with public AI services in real-time.
Allowing access to sanctioned GenAI apps is key, but access alone is not sufficiently secure for most enterprises. Cato helps you ensure that every interaction with generative AI systems adheres to defined security, compliance, and usage policies. By monitoring and governing prompt and responses, inline, using APIs or with a browser extension, organizations can prevent data leakage, limit misuse, and ensure governance and compliance for AI use.
Homegrown AI applications and AI agents are attractive targets for internal and external attacks—an emerging threat vector that requires dedicated defenses. Using proprietary models specifically trained to detect all types of runtime AI attacks and compliance violations, IT teams can support enterprise-scale secure delivery of AI apps and agents. Flexible deployment options ensure seamless integration of AI Runtime Security into any environment, whether on-premises, in the cloud, or at the edge.
AI agents are rapidly developed, deployed, and used across the enterprise. This requires visibility and control tailored to the unique nature of AI agents, which differs from traditional users or applications. Using purpose-built software that discovers and analyzes AI agents’ activity in the enterprise, Cato enables security teams to monitor every interaction between agents, models, and MCP servers, to ensure agents operate securely, remain complaint, and align with business needs.
AI Security Posture Management continuously discovers, detects, and remediates AI security and compliance risks in development and in production. Using multiple scanning strategies, Cato detects and reports on models’ misconfigurations, vulnerabilities, and licensing and usage violations, thus securing the model supply chain. Cato also enables security teams to test their AI environments against emerging regulations like the EU AI Act and ISO 42001, as well as AI risk frameworks such as MITRE ATLAS and NIST RMF.
Cato empowers enterprises to securely adopt AI at scale by delivering AI security as part of a SASE platform built with and for AI. By using a single policy engine, single data lake and a single management application, AI security can be managed alongside network and data security with greater visibility and control, and without added complexity or rigidity.
Customers use Cato to eliminate complex legacy architectures comprised of multiple security point solutions and costly network services. Cato’s unique SASE platform consistently and autonomously delivers secure and optimized application access everywhere and to everyone.
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“We ran a breach-and-attack simulator on Cato, Infection rates and lateral movement just dropped while detection rates soared. These were key factors in trusting Cato security.”
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