Model Substitution Risk In Enterprise Deployments
The model you think you're calling might not be the model that returns. Model substitution is a quiet supply chain risk that deserves explicit controls.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
The model you think you're calling might not be the model that returns. Model substitution is a quiet supply chain risk that deserves explicit controls.
Prompt injection is OWASP's #1 LLM risk. Learn how it works, real CVEs like EchoLeak, and how to detect and defend against it.
AI-based security is used to describe everything from a genuinely trained detection model to a marketing rewrite of a rules engine. Here's how to tell what you're actually buying.
Direct and indirect prompt injection are different attack vectors with different blast radii. Real 2025 CVEs like EchoLeak show why the distinction matters.
LLM jailbreaking bypasses AI safety guardrails through techniques like DAN prompts, Crescendo, and Skeleton Key — here's how it works and how to defend against it.
Model weights are executable artifacts, not data. Here's how AI model supply chain attacks work, from pickle exploits to weight tampering, and how to stop them.
A vulnerable transitive dependency may require upgrading an ancestor. Griffin AI computes the cascade; Mythos-class tools often stop at the first level.
Retrieval-augmented generation was the 2024 success story. 2026 is when RAG poisoning moved from research to production incidents.
MCP security explained: how tool poisoning, rug pulls, and 2025's critical CVEs (mcp-remote, MCP Inspector) put AI agents at risk—and how to defend against them.
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