Billede af showet The AI Security Podcast

The AI Security Podcast

Podcast af Harriet Farlow (HarrietHacks)

engelsk

Videnskab & teknologi

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Læs mere The AI Security Podcast

I missed the boat in computer hacking so now I hack AI instead. This podcast discusses all things at the intersection of AI and security. Hosted by me (Harriet Farlow aka. HarrietHacks) and Tania Sadhani and supported by Mileva Security Labs. Chat with Mileva Security Labs for your AI Security training and advisory needs: https://milevalabs.com/Reach out to HarrietHacks if you want us to speak at your event: https://www.harriethacks.com/

Alle episoder

53 episoder

episode How to get hired in AI security cover

How to get hired in AI security

If you’re trying to break into AI security, it can feel confusing — do you need to be a machine learning expert, a cybersecurity professional, or both? In this episode, we break down practical tips for getting hired in AI security, from the skills that actually matter to the types of projects and experience that can help you stand out. We discuss how to build relevant expertise in areas like adversarial machine learning, AI risk, and model security, as well as how to position yourself for roles in startups, research labs, and large tech companies. Whether you’re coming from a cybersecurity, data science, or general tech background, this episode will give you actionable advice on how to start building a career in one of the fastest-growing areas of technology. 🚀

22. mar. 2026 - 25 min
episode Model Context Protocol and Agent 2 Agent 🤖🕵️ cover

Model Context Protocol and Agent 2 Agent 🤖🕵️

In this episode, we dig into Model Context Protocol (MCP) and agent-to-agent (A2A) communication — what they are, why they matter, and where the real risks start to emerge.We cover:- What MCP actually enables beyond “tool calling”- How A2A changes the threat model for AI systems- Where trust boundaries break down when agents talk to each other- Why existing security assumptions don’t hold in agentic systems- What practitioners should be thinking about now (before this ships everywhere)This one’s for anyone working on AI systems, security, or governance who wants to understand what’s coming before it becomes a headline incident.As always: curious to hear your takes — especially where you think the biggest risks (or overblown fears) really are.

11. jan. 2026 - 28 min
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