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The Cyberman Show
Prashant Mishra
104 episodes
2 months ago
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...
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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...
Show more...
Technology
Education,
News,
Tech News
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Vibe Coding: Risks and Security Best Practices #101
The Cyberman Show
21 minutes
3 months ago
Vibe Coding: Risks and Security Best Practices #101
Send us a text This episode offers an extensive exploration of AI-driven code generation, known as vibe coding. This episode details how AI tools like Lovable simplify app development for both technical and non-technical users by generating code from natural language prompts. It contrasts this emerging practice with traditional software engineering and the future of AI-native development. The podcast also highlights significant cybersecurity risks associated with AI-generated code, citing rep...
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...