Cato AI Security for Applications protects in-house AI applications and AI agents in enterprises from attacks during runtime. The goal is to detect and stop risks before they impact users, systems, or data. The aim is to enable enterprises to operate their own AI apps securely, without attacks on models, data, or users having any impact.
- Protection of AI Applications
Security mechanisms monitor the communication and behavior of AI apps to detect attacks early on. - Defense Against Common AI Threats
These include, for example, input manipulation (prompt attacks), data exfiltration, or the misuse of AI functions. - Runtime Protection
The solution operates while the AI application is in use and prevents attacks in real time. - Cloud-Native Architecture
The security features are integrated into Cato’s cloud-based platform and operate with low latency. - Low False Positives
AI-powered analytics are designed to keep the number of false security alerts low.
Cato AI Security for End Users safeguards employees’ use of AI tools (such as chatbots, copilots, or other AI services). It provides transparency and control over all AI interactions within the organization. The goal is to ensure the secure and controlled use of generative AI tools within the organization, without data leaks or compliance issues.
- Detection of “Shadow AI”
Identifies AI tools that employees use without official approval. - Transparency regarding AI usage
Organizations can see which AI apps are being used and what data is being sent to them. - Policies and access control
Security policies can specify which AI tools are permitted and what data may be shared. - Zero-Trust Approach
Every interaction with AI services is monitored and evaluated to minimize risks. - Risk Assessment and Governance
IT teams can analyze usage, assess risks, and enforce security measures.