Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Welcome to Data Security Decoded. In this episode, Caleb Tolin welcomes back Joe Hladik, Head of Rubrik Zero Labs, for a focused look at how identity-driven threats are redefining modern security. Drawing insights from Rubrik Zero Labs’ latest report, Identity Crisis: Understanding and Building Resilience Against Identity-Driven Threats, Joe explains why identity has become the new perimeter in an era where hybrid and multi-cloud environments dominate.

Our new State of Shadow AI Report has just uncovered a critical disconnect that all security leaders need to be aware of. We all know shadow AI is exploding, and that blocking is the most logical response. How else are you going to regain control? But our data shows this is backfiring: This is where blocking can get dangerous. It doesn't stop AI; it just limits your visibility. Download the full (ungated) shadow AI report to see all the data.

Apono announces the launch of our Admin MCP (Model Context Protocol), a new tool that simplifies organizational access management through natural language queries. The product works with MCP-supported clients like Claude and Cursor, allowing administrators to quickly answer access questions without manually navigating through dashboards and permissions. This demo shows how users can instantly check if someone can access database resources or get comprehensive audit reports for AWS production accounts.

Threat actors have moved beyond using AI to speed up operations. They're now embedding large language models directly into malware. In this Intel Chat, Matt Bromiley and Chris Luft discuss Google's Threat Intelligence Group findings on malware families like PromptFlux and PromptSteal. These threats query LLMs mid-execution to dynamically alter behavior, obfuscate code, and generate system commands on demand.

AI On The Edge – Where Intelligence Meets Risk: Part 3 Building an enterprise AI app is NOT the same as building a traditional application, and this is why so many AI projects fail. In this conversation, we break down why 95% of enterprise AI implementations fail, what teams misunderstand about AI systems, and how to actually build AI that works in real organizations.

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