Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI-powered applications depend on the models behind them, and those models keep changing. New attack techniques appear every day, model updates can change how safeguards behave, and switching models can leave existing protections behind. Security teams need to know where their AI is exposed before an attacker finds out first.

Local AI agents are becoming part of everyday work, accessing enterprise data, using tools, and completing tasks directly on employee devices. Security teams need to enable this adoption without losing visibility, control, or governance over agent actions - even when those actions happen locally.

As an SMB managed SASE business grows, the real challenge is often operational: how to add customers and respond to changing needs without adding licensing friction. Cato SMB FlexPool helps eligible MSPs and service providers managed committed capacity at the partner level, supporting faster growth, better utilization, and control of the managed service experience. Contact your Cato channel representative to discuss SMB FlexPool eligibility and pool sizing.

AI-powered attacks are moving faster, adapting in seconds, and overwhelming traditional defenses with machine-speed activity. In this video, Jason Wright explains why security teams need Agentic Threat Defense built on customized predictions, automatic adaptation, and cloud-native scale. Watch how Cato Agentic Threat Prevention helps reduce the risk of AI-powered threats, stop adaptive attacks earlier, and scale prevention to stop agentic attacks.

AI-powered adversaries are accelerating vulnerability discovery and automating attacks. For security teams, the challenge is adaptive attack chains, machine-speed execution, and attack volumes beyond manual workflows. Cato is redefining prevention in the AI era—predicting enterprise-specific attack paths, adapting protections at machine speed, and scaling defense with cloud-native scale. This means enterprises can do more than just react to attacks, they can prevent them.

Enterprise AI is spreading fast across employees, applications, and agents. Security teams need a way to enable AI adoption without losing visibility, control, or governance. In this demo, see how Cato helps organizations secure AI across three fronts: · AI employees use, including sanctioned and unsanctioned AI tools· AI applications teams build, including LLM apps connected to enterprise data· Agentic AI, where agents can access tools, data, and workflows.

See how Cato helps stop an Agent Tesla-style malware credential theft attack before it becomes business impact. In this demo, a remote finance user opens what appears to be a routine invoice. Behind that simple action is a common attack path: malware designed to steal credentials, keystrokes, and sensitive business data.

See how Cato Private Access helps organizations access the app, not the network. In this demo, we show how IT teams can deliver secure access to private applications without routing or firewall changes, while maintaining application-level access control, centralized policy enforcement, and visibility through the Cato Management Application. We also highlight how Cato manages private application access through the Cato SASE platform, enabling a more unified, operationally efficient approach than traditional connector-based architectures.

The attack lifecycle is compressing. Frontier AI models like Anthropic’s Mythos and OpenAI’s GPT-5.5-Cyber can help bad actors research vulnerabilities, test approaches, adapt code, and change delivery methods at machine speed and scale. That reduces the time, skill, and coordination needed to move from vulnerability discovery to active attack. When attacks behave this way, security needs to operate in real time with full visibility and context across the attack path.

Most organizations understand the need for Zero Trust access to private applications. The challenge is delivering it without creating operational bottlenecks, increasing network risk, or slowing projects with weeks of coordination. In this video, Chris Rudolph explains how Cato Private Access enables secure, application-level access to private applications without requiring routing updates, inbound firewall changes, or complex network redesigns.