Architecture
Safeguard Knowledge Graph Architecture
How Safeguard's knowledge graph unifies components, vulnerabilities, policies, and runtime evidence into a single queryable substrate that powers every product surface.
Jan 23, 20268 min read
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.
How Safeguard's knowledge graph unifies components, vulnerabilities, policies, and runtime evidence into a single queryable substrate that powers every product surface.
After a domain handover, polyfill.io began serving malware to more than 100,000 sites. Here is the attack chain and what the incident teaches us.
The Model Context Protocol went from a single-vendor proposal to a multi-implementation standard in under eighteen months. The security implications are still being worked out in public.
FedRAMP HIGH demands 421 controls with documented, continuous evidence. Griffin AI produces control-mapped records every day. Mythos-class pure-LLM tools cannot fill a 3PAO evidence package.
Taint tells you whether attacker data actually reaches a sink. Griffin AI propagates it; Mythos-class tools infer it. The difference shows up fast.
MCP server discovery turns a client connection string into a live capability graph. The protocol mechanics that make this convenient also widen the blast radius when discovery is spoofed, tampered with, or silently reshaped mid-session.
An anonymized account of how a regional North American healthcare system deployed Safeguard's self-healing container base images across 600+ workloads.
Pickle-serialized model files remain a live attack surface on Hugging Face. Here is what 2025 research disclosed about persistent backdoors and what defenders should do about it.
Traditional SCA tools tell you what's in your software. Next-gen SCA tells you what matters. Here's how the category is evolving.
Weekly insights on software supply chain security, delivered to your inbox.