# Along The Edge e1: Agentic AI Security, Jailbreaks, and Why You Shouldn’t Trust Your Agents

Page: https://stenobird.com/podcast/along-the-edge-agentic-ai/along-the-edge-e1-agentic-ai-security-jailbreaks-and-why-you-shouldn-t-trust-your-agents
Text version: https://stenobird.com/podcast/along-the-edge-agentic-ai/along-the-edge-e1-agentic-ai-security-jailbreaks-and-why-you-shouldn-t-trust-your-agents.md
Podcast: [Along The Edge Podcast: Breaking, Defending, and Understanding Agentic AI](https://stenobird.com/podcast/along-the-edge-agentic-ai)
Published: 2026-01-13T19:09:55+00:00
Episode link: https://share.transistor.fm/s/69c9c516
Audio file: https://media.transistor.fm/69c9c516/3984a99f.mp3
Processing state: processed
JSON: https://stenobird.com/v1/public/podcasts/along-the-edge-agentic-ai/episodes/along-the-edge-e1-agentic-ai-security-jailbreaks-and-why-you-shouldn-t-trust-your-agents
Duration seconds: 3070

## Resource

Welcome to Along The Edge, a podcast about AI security and agentic AI. In Episode 1, Andrius Useckas (Co-founder & CTO, ZioSec) sits down with Alex Gatz (Staff Security Architect, ZioSec) to break down the emerging world of agentic AI security: jailbreaks, prompt injection, SDR and SOC agents, data leaks, least privilege, and why “don’t worry, the model will filter it” is a dangerous assumption. They also walk through V-HACK, an intentionally vulnerable agentic lab project that lets security researchers and pentesters safely experiment with agent exploits, tool calling, jailbreaks, and attack paths—helping define what “pen tester 2.0” looks like. Chapters / In this episode: 00:00 – Intro: who we are & why a new AI security podcast 02:00 – What is agentic AI vs a plain LLM? 03:10 – SDR agents, SOC workflows & new “Layer 8 / Layer 9” problems 09:00 – Prompt injection 101: direct vs indirect attacks & context windows 12:00 – Chatbots vs agents and why agent risk is higher 15:00 – Foundation model trust & the Anthropic horror-story jailbreak demo 19:30 – Why jailbreaks are (currently) an unsolved problem 22:30 – Social engineering parallels & detecting AI / agentic attacks 27:00 – V-HACK: intentionally vulnerable agent lab for pentesters 32:00 – Securing agents: WAFs, runtime protection, identity & MCP proxies 36:00 – Scanners, evals vs real pentesting & terrifying token bills 39:00 – Least privilege, DLP & identity for SDR and payroll-style agents 44:00 – “Don’t trust, verify”: threat modeling & testing agents early 46:00 – Future of AI security: consolidation, CNAPs & SOC-as-an-agent 49:00 – Magic wand: fixing context & memory in agents 50:30 – Closing thoughts & what’s next Links mentioned: ZioSec – www.ziosec.com V-HA…

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