https://video.ut0pia.org/videos/watch/72125746-6967-4ccd-9b51-0dc7186e5708 LLM-based attacks are no longer the exception, they are the baseline. This talk maps the six most common attack vectors found in production AI systems: Prompt and Context Injection, Model Internals, RAG Poisoning, MCP Exploits, and Agentic Escalation. From there, it dives into the architecture of ModernBERT and shows how to fine-tune it into a lightweight, self-hosted guardrails layer for under a dollar. What you will learn: The Zero Trust Gap in LLMs: what these attack vectors share in common, and why model alignment and human review alone are not enough, The secret sauce that makes encoder models beat LLM-as-a-Judge in latency and flexibility, ModernBERT under the hood: a deep dive into Alternating Attention, Unpadding & Sequence Packing, RoPE, and FlashAttention, Building your own safety layer: a practical walkthrough of fine-tuning ModernBERT as a safety discriminator, Live Demo: real attack prompts from each vector tested against our model", Speaker info: Diego Carpentero - AI Engineer | Tech Entrepreneur | Open Source Contributor | NVIDIA Certified Professional (NCP-GENL), Timestamps: 00:00 Intro Sat, 18 Apr 2026 05:07:24 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://video.ut0pia.org https://video.ut0pia.org/lazy-static/avatars/0287a09a-aae7-4840-9843-b416426e7046.webp https://video.ut0pia.org/videos/watch/72125746-6967-4ccd-9b51-0dc7186e5708 All rights reserved, unless otherwise specified in the terms specified at https://video.ut0pia.org/about and potential licenses granted by each content's rightholder.