Tool Poisoning Attacks: How Malicious Instructions Hide I...
AI agent tools can hide invisible instructions attackers use to steal data. Here's how tool poisoning attacks work and how Safeguard stops them.
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.
AI agent tools can hide invisible instructions attackers use to steal data. Here's how tool poisoning attacks work and how Safeguard stops them.
A practical, criteria-based comparison of Safeguard and Mend.io for AI-SPM buyers: provenance verification, AI-BOM depth, and CI/CD policy enforcement.
MCP lets AI models call tools automatically — and lets malicious servers hide instructions in plain sight. Here's how tool poisoning, rug pulls, and shadowing actually work.
Best AI red teaming tools ranked: how Mend.io's SCA scanning and Safeguard's exploitability-first SBOM analysis actually differ for AI supply chain risk.
Agent skill marketplaces are repeating npm and PyPI's supply chain mistakes—except the malicious payload is often a sentence of instructions, not code. Here's what's already been exploited.
SQL injection was solved by separating code from data. Prompt injection can't be, because in an LLM they share one channel. Here's the technical comparison, with real exploits and dates.
Coding agents run with real credentials and no pause button. Here is the threat model that treats them as autonomous infrastructure, not junior developers.
Jailbreak prompts now trade like exploits: sold as $200/month "dark" chatbots, bountied by vendors for up to $15,000. Here's how that market actually works.
AI agents break least-privilege assumptions built for humans: they chain tools, act autonomously, and compose narrow scopes into broad access no one reviewed.
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