Send us a text Today's explores the impact of agentic AI on security landscapes, particularly concerning identity management. It begins by defining AI agents as digital workers that independently pursue goals, outlining their components like perception, reasoning, and learning, and their multi-layered infrastructure. The discussion then transitions to the new attack surfaces introduced by AI agents, such as identity spoofing, privilege creep, and prompt injection, highlighting how agents’ dyn...
All content for The Cyberman Show is the property of Prashant Mishra and is served directly from their servers
with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Send us a text Today's explores the impact of agentic AI on security landscapes, particularly concerning identity management. It begins by defining AI agents as digital workers that independently pursue goals, outlining their components like perception, reasoning, and learning, and their multi-layered infrastructure. The discussion then transitions to the new attack surfaces introduced by AI agents, such as identity spoofing, privilege creep, and prompt injection, highlighting how agents’ dyn...
Network Detection and Response: Basics, Usecases and Gartner 2025 MQ : EP 98
The Cyberman Show
21 minutes
4 months ago
Network Detection and Response: Basics, Usecases and Gartner 2025 MQ : EP 98
Send us a text Todays episode vocers a comprehensive overview of Network Detection and Response (NDR) technology, explaining its core function in detecting abnormal and malicious system behaviors by analyzing network traffic data. It outlines key features such as data ingestion, detection, and response, and discusses common use cases including lateral movement and insider threat detection, even extending to Operational Technology (OT) environments. The text also reviews the current market ven...
The Cyberman Show
Send us a text Today's explores the impact of agentic AI on security landscapes, particularly concerning identity management. It begins by defining AI agents as digital workers that independently pursue goals, outlining their components like perception, reasoning, and learning, and their multi-layered infrastructure. The discussion then transitions to the new attack surfaces introduced by AI agents, such as identity spoofing, privilege creep, and prompt injection, highlighting how agents’ dyn...