Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Your AI gateway and identity platform don’t decide whether a task can use a piece of enterprise data. In agentic AI, one request can trigger multiple agents, MCP servers, APIs, RAG systems, and LLMs, and each one is a separate security decision. This video explains why enterprise AI needs a runtime data control plane. It covers why identity alone can’t make the call, why masking PII isn’t enough when business context is sensitive, and how Protecto applies allow, mask, anonymize, rewrite, or selective reveal decisions across the AI workflow. It ends with a Fortune 100 multi-agent example.

Introducing our AI Security Innovation Update series with Liron Hakim Bobrov and Amad Hussain. Watch the first episode to see what's new from Cato, from agent guardrails to protecting the AI apps your teams are building.

Meet Bitsight AI Mode, a new way to investigate cyber risk, prioritize critical exposures, and accelerate security decisions using AI-powered intelligence and agentic workflows. Built directly into the Bitsight platform, AI Mode combines conversational AI with automated, multi-step analysis to help security and risk teams turn complex cyber risk data into actionable insights. With Bitsight AI Mode, you can.

Garrett Hamilton, co-founder and CEO of Reach Security, joined Jonathan Brucato, Vice President of Cyber Defense at ECI. In this clip, Garrett walks through Reach Everywhere with a ransomware detection as the example: what the controls on that host look like, and what changed in the weeks before. In the full episode.

Your employees have a lot to confess about how they’re using AI. The question is whether you’ll hear it from them. Shadow AI is already part of how most teams work. Sensitive data goes into AI tools every day, and most leaders have no visibility into it. Teramind gives you full visibility into how employees use AI, so you can set clear rules, protect sensitive data and enable safe AI adoption across your organization.