HeyJaredAI Security Ops
Join in on weekly podcasts that aim to illuminate how AI transforms cybersecurity—exploring emerging threats, tools, and trends—while equipping viewers with knowledge they can use practically (e.g., for secure coding or business risk mitigation).
- Indexed episodes, last 90 days
- 12
- Latest publication
- Sep 26, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 3, 2026
Latest episodes
Will AI Take Over? | Episode 71 (opens the original)
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In this episode of BHIS Presents: AI Security Ops, the team tackles a big question: Could AI actually take over the internet? Recent warnings from AI industry leaders have raised concerns about autonomous agent swarms escaping containment, compromising systems, and operating at a scale humans may struggle to match. But what would “taking over the internet” actually require? The team looks at the problem from a hacker’s perspective — examining compute requirements, persistence, botnets, vulnerabl
OWASP Agentic Top 10 [Part 1] | Episode 70 (opens the original)
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In this episode of BHIS Presents: AI Security Ops, the team breaks down the first five risks in the OWASP Agentic Skills Top 10 (Part 1). Agentic skills can give AI systems reusable instructions, workflows, and capabilities — but they also introduce a new attack surface. A skill may look like a simple markdown file, yet the agent following those instructions could have access to your filesystem, credentials, network, shell, or other sensitive resources. We dig into: - AST01: Malicious Skills - A
Agentic Skills | Episode 69 (opens the original)
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Agentic skills can make AI agents more capable and consistent—but they can also introduce serious security risks. This episode explains how skills work, why malicious skills rank as a leading OWASP concern, and how seemingly harmless Markdown instructions can enable credential theft, remote payload delivery, and manipulated recommendations. Real-world examples illustrate how malicious skills can evade scanners and exploit trusted marketplaces. The episode concludes with practical safeguards, inc
Data Becomes Code | Episode 68 (opens the original)
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What happens when AI coding agents treat vendor documentation as trusted instructions? Bronwen Aker and Derek Banks examine research showing how unclaimed package names and domains referenced in LLMs.txt files could lead coding agents to download and execute unintended code. They discuss how this AI-driven supply chain risk builds on familiar security problems, including dependency confusion, indirect prompt injection, and excessive permissions. The conversation also covers responsibility for AI
Who is Responsible for an AI-Caused Breach? | Episode 67 (opens the original)
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This episode of AI Security Ops explores a growing question in AI security: who is responsible when an autonomous AI agent causes a real-world security breach without direct human instruction? Host Brian Fehrman examines reported incidents involving major AI labs, discusses how existing concepts such as liability, negligence, and intent may apply to AI-driven attacks, and considers the legal and security challenges organizations face as agentic AI systems become more capable. The episode highlig
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