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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-HACK (GitHub) – https://github.com/ZioSec/VHACK About the guests: Andrius Useckas has 25+ years in security and now focuses on agentic AI security, offensive testing, and red teaming for enterprise AI deployments. Alex Gatz is a Staff Security Architect at ZioSec. He has a background in emergency medicine and construction, then transitioned into AI in 2014 working on NLP, deep learning, anomaly detection, and now AI security. If you’re building or testing agents in 2026, this episode gives you a practical look at how real attack paths work, what breaks in production, and how to defend before attackers get there first.