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.
A single poisoned tool description can turn a trusted MCP server into a silent data-exfiltration channel. Here's how these attacks work — and how to stop them.
A practical, step-by-step guide to hardening and securing an MCP server deployment -- authentication, sandboxing, network policy, and monitoring included.
MCP OAuth authentication has been rewritten three times since March 2025. Here's how the spec, its token security model, and real CVEs like CVE-2025-49596 shape safe MCP deployments.
An MCP rug pull attack swaps a trusted server's tool definitions after approval. Here's how tool definition drift happens, and how Safeguard catches it early.
A practical buyer's guide to MCP security gateways and scanners — evaluation criteria, honest strengths and gaps for real vendors, and where Safeguard fits.
A precise MCP security glossary covering clients, servers, resources vs. tools, tool poisoning, rug pulls, and the confused deputy problem — with real-world examples.
A concrete, incident-driven walkthrough of AI supply chain security — from poisoned datasets and backdoored Hugging Face models to CI pipeline hijacks — and how to reduce the risk end to end.
Poisoned datasets and untraceable training data are already causing lawsuits and breaches. Here's why training data provenance is now a security requirement.
A practical guide to model weight integrity: baseline checksums, sign weights, verify in CI/CD, and detect tampering before it reaches production.
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