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 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.
Fine-tuning pipeline security is now an AI supply chain priority: as few as 250 poisoned documents can backdoor a model, and LoRA adapters make it easy to hide.
A single expired domain and $60 can poison a training set. Here's how data poisoning attacks corrupt LLM behavior — and how Safeguard verifies training data before it ships.
OpenAI shipped the GPT-5.2 update to the GPT-5 system card on December 11, 2025. We dig into the preparedness scoring, the cybersecurity capability claims, and what changed for downstream defenders.
CycloneDX v1.7 was adopted as ECMA-424, 2nd Edition by the Ecma General Assembly in December 2025. We unpack citations, cryptographic assets, and distribution constraints.
The 2025 annual SSCS report lands into a changed landscape. Key findings, trend lines, and what the numbers actually imply for 2026 planning.
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