Live Webinar | September 17, 2026
UNPROMPTED
You Cannot Govern What You Cannot See
Shadow AI governance, demonstrated live from the Matrix production environment with Cato Networks.
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Why This Session
Your Staff Adopted AI Before Anyone Wrote A Policy
ChatGPT, Copilot, and Gemini are already in use across your organization. That is shadow AI: usage you cannot see, on accounts you do not control, moving data you are responsible for protecting.
You cannot write a sensible policy for usage you cannot see. Visibility comes first.
Which AI and LLM applications do you actually want to allow?
Are your people signing in with company accounts, or free personal versions?
Do you know what kinds of data are moving into and out of these tools right now?
Most organizations cannot answer the third question with confidence. That is the real starting point.
Live, From The Matrix Production Environment
What The Demo Covers
What Is Actually In Use
Which AI tools your people are using, and whether they are signing in with company accounts or free personal ones that carry none of your protections.
Guardrails On The Data
What Cato CASB and Cato DLP each do once you can see the usage, and how to draw a line around what can and cannot leave in an LLM prompt.
Past The Browser Tab
Local agents, MCP tools, and skills visibility, including Claude Desktop running on our own tenant. Watching the browser alone misses this entirely.
Two Cato Products, Two Different Problems
Where This Session Focuses
Cato AI Security
Security for AI
Protects your organization as your people use AI tools. Discovery of what is in use, control over which applications and accounts are allowed, and guardrails on the data moving into and out of them.
Runs standalone. You do not need the full platform to start.
Agentic Threat Prevention
AI for security
The inverse: AI applied to your security operations. A short preview at the end of the session rather than the main event, so the two do not blur together.
Requires the full SASE platform.
Who Is Presenting
Matrix Networks and Cato Networks
Jeremy Ness
Chief Technology Officer
Matrix Networks
Liron Hakim Bobrov
Cato Networks
About This Session
The Detail Behind the Demo
Blocking rarely holds. These tools genuinely help people do their jobs, so a hard block pushes usage onto personal devices and personal accounts where you have even less visibility. The goal is not prohibition. It is governance: knowing which tools are in use, steering people toward sanctioned accounts, and drawing a clear line around what data can and cannot be shared.
Most of the hour is a live demonstration from the Matrix production environment, covering shadow AI discovery, sanctioned versus personal AI tenants, DLP guardrails for LLM traffic, and visibility into local AI agents and the tools they invoke. Liron brings insight from across Cato customer environments into the emerging risks and the controls proving most effective. Matrix has run Cato AI Security in our own environment as an early adopter, so you will also see where the platform excels, where it required tuning, and the lessons that only come from operating it in production.
See what AI usage actually looks like inside your organization, whether or not you are on the Cato platform today.
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