Episode 52 — Model the Attack Surface: Data, Model, Agent, Tooling, and Integrations
This episode builds an AI-specific attack surface map you can apply quickly on the SecAI+ exam, because many scenario questions are really asking which layer is being attacked and what control reduces risk most directly. You will learn to break the system into attackable components, including data sources and pipelines, model artifacts and inference endpoints, agents and tool permissions, orchestration layers, and the integrations that connect AI to business systems. We will connect each layer to common failure modes like poisoning in data intake, extraction and inference attacks at the model interface, prompt injection and tool abuse in agents, and privilege escalation through poorly scoped integrations. You will practice identifying trust boundaries, untrusted inputs, and places where the system crosses from “generate text” into “take actions,” because those transitions change the required controls dramatically. By the end, you should be able to look at any AI architecture description and produce a prioritized attack surface view that leads to clear, defensible mitigations. Produced by BareMetalCyber.com, where you’ll find more cyber audio courses, books, and information to strengthen your educational path. Also, if you want to stay up to date with the latest news, visit DailyCyber.News for a newsletter you can use, and a daily podcast you can commute with.
