MCP Security
MCP is standardizing how AI agents call tools, and attackers are already exploiting tool poisoning, rug pulls, and shadowing. Here's what MCP security actually requires.
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.
MCP is standardizing how AI agents call tools, and attackers are already exploiting tool poisoning, rug pulls, and shadowing. Here's what MCP security actually requires.
Node's vm module and vm2 were never a security boundary. Four critical CVEs and a 2023 deprecation prove why untrusted-code sandboxes need real isolation.
OWASP's Top 10 for LLM Applications reframes AI risk around prompt injection, data poisoning, and supply chain gaps that container-only tools like Aqua can't reach.
Coding agents from OpenAI, Anthropic, and Google are excellent tools. They are also not supply chain security platforms, and the assumption that they can replace one is already producing expensive gaps.
List price is the easiest number to compare and the least interesting one. TCO over three years is where Griffin AI vs Mythos-class platforms actually diverge.
A container security platform has to cover images, registries, and running workloads. Here is what real coverage looks like and how to evaluate one.
Application security spans SAST, SCA, secrets and container scanning. See how AppSec differs from DevSecOps, why it's now board-level, and how Safeguard prioritizes fixes.
Unmaintained, underfunded open source is not just a reliability risk — it is how attackers get in. The xz Utils backdoor proved that maintainer burnout is a security vulnerability with a CVE number.
SAST scans source code for exploitable flaws before deployment. Learn how it works, how it differs from DAST/SCA, and where it falls short.
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