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.
Cisco's AI threat team tested 15 flagship models with ~7,000 multi-turn attacks and found success rates as high as 88 percent. Single-turn safety scores told defenders almost nothing about real-world resilience.
Cursor's MCP support lets the AI editor call external tools and data sources. That power comes with real risks. Here is how Cursor MCP can be attacked and hardened.
AI coding assistants like Claude Code and Cursor now write, install, and execute code with minimal oversight. Here's the governance framework that closes the gap JFrog's artifact scanning leaves open.
An AIBOM extends the SBOM to models, datasets, and prompts. What goes in one, how CycloneDX 1.6 encodes it, and how to generate it in CI without a documentation project.
The Model Context Protocol is transforming how AI agents interact with tools, but it introduces new attack surfaces. Here is what security teams need to understand.
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.
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