Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing Agentic AI: Why Visibility, Behavior, and Guardrails Matter

Agentic AI is quickly transitioning from experimentation to production. Enterprises are deploying AI agents to interpret goals, decide what actions to take, interact with business tools and APIs, and execute those actions autonomously, with limited or no human oversight. The promise is speed and efficiency, but the proverbial “blast radius” is bigger and fundamentally different from anything security teams have managed before.

See, Govern, and Secure All AI Usage in Your Enterprise

Do you happen to know which AI tools your employees are using right now, or what data they're sending into them? Cato AI Security automatically discovers every AI application in your environment, provides security teams with session-level visibility into how those tools are being used, and enforces data policies in real time, so employees can keep working and sensitive data stays where it belongs.

Secure Enterprise AI Apps and Agents: Visibility, Governance, Runtime Protection

When you deploy an AI application, do you know what's being sent into it — or what's coming back out? Cato AI Security provides runtime protection for the AI applications your organization builds and deploys, with real-time enforcement, sensitive data anonymization, and a complete audit trail across every interaction.

WebPromptTrap - New Indirect Prompt Injection Vulnerability in BrowserOS

Cato researchers have discovered a new indirect prompt injection exploit pattern workflow in BrowserOS (an open-source agentic AI browser). We named it “WebPromptTrap” because the prompt originates from untrusted web content and it traps users into approving an authorization step through a trusted-looking AI summary.

When Quantum Turns Encryption Into a Time Problem

If your encrypted traffic was captured today, would it still be private in ten years? That question changes the conversation. Leaders are used to asking, “Is it encrypted?” Now they are asking, “How long does it stay confidential?” That is where post quantum cryptography, or PQC, comes in. Its role is to strengthen the foundations of a secure connection by improving how trust is established before any data is exchanged. Today’s encryption still works.

Where Cato Sits in the AI Economy

Every major technological shift reshapes the landscape, creating both winners and losers. AI will be no different. The key question is which companies are positioned to capture the value it generates, and which ones may fall behind as it unfolds. If you look at previous technology shifts, the winners were not always the companies building the most visible products. They were often the ones that enabled the shift to happen in the first place, or those that benefited from the structural changes it created.

Cato CTRL Threat Research: Vishing and Microsoft Teams Used to Deliver PhantomBackdoor

Cato CTRL has discovered a q-based delivery technique used against an Italy-based consumer services company associated with PhantomBackdoor, a multi-stage WebSocket-based backdoor previously reported in a Ukraine-focused spear phishing operation by SentinelOne. In SentinelOne’s earlier reporting, initial access relied on phishing lures and a ClickFix-style flow that triggered a staged PowerShell and ended with a WebSocket backdoor.

Secure Enterprise AI Apps and Agents: Visibility, Governance, Runtime Protection

When you deploy an AI application, do you know what's being sent into it — or what's coming back out? Cato AI Security provides runtime protection for the AI applications your organization builds and deploys, with real-time enforcement, sensitive data anonymization, and a complete audit trail across every interaction. Learn more or request a demo at catonetworks.com.

Meet the Industry's First GPU-Powered SASE Platform with Native AI Security

AI has moved from experimentation to a strategic enterprise imperative. It’s no longer about whether organizations will adopt AI, but whether their security architecture can govern it at the speed and scale at which it is being embedded into the business. This is not a future concern. It is today’s operational mandate to: Securing AI is not limited to software applications and agents.

Cato AI Security: Is Your Security Stack Built for How AI Works?

AI adoption is accelerating across enterprises — often faster than security teams can respond. Employees are using AI tools and copilots across SaaS apps and workflows, creating new exposure around sensitive data, shadow AI, and attack surfaces that traditional tools weren't built to see. This video breaks down the four AI security challenges every enterprise is facing, where existing controls fall short, and how Cato AI Security gives you visibility, guardrails, and enforcement across the AI your employees use, the applications you build, and the agents acting on your behalf.