Analysis · curated 21 Jul 2026
CyberTalks: Data Poisoning Attacks on ML & Agentic AI Systems | Jason Ross |COASP
First reported youtube.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
Data poisoning across ML training pipelines, RAG embeddings, and agentic/MCP tool chains is hard to detect and can implant hidden backdoors, so defenders benefit from a structured overview of the attack surface and mitigations.
A recorded EC-Council CyberTalks webinar by Salesforce Product Security Principal Jason Ross covers data poisoning attacks against machine learning and agentic AI systems, walking through the ML lifecycle attack surface, AI supply-chain risks (including Hugging Face attacks and sleeper-agent backdoors), RAG embedding-database poisoning, cascading poisoning, and MCP exploitation examples such as GitHub and WhatsApp MCP abuse. The session also outlines mitigation strategies including secure data sourcing, validation, monitoring, and governance frameworks.