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.
FIN7 built tooling that made its social engineering feel like a SaaS product. Here is how its 2024 tradecraft blended malvertising, fake tools, and credential theft into a supply chain attack.
Reproducible builds used to feel academic. After a decade of supply chain attacks, they are the shortest path from an SBOM to a verifiable artifact. Here is the case.
Griffin AI v2 brings multi-step reasoning, remediation generation, and deep organizational context to Safeguard's AI engine.
A million-token context window is a tool, not a solution. Context grounding for security requires architecture, not just capacity.
Reasoning models have arrived in security tooling. Evaluating them requires different methodology from evaluating classification or generation models. Here is what good evaluation looks like.
Expose the Safeguard MCP server to ChatGPT so the assistant can run live dependency scans and pull advisory data instead of guessing.
RSA Conference 2026 centered on AI governance, software supply chain regulation, and vendor consolidation. Here is the analyst view of what mattered.
What to screen for, how to structure interviews, and the signals that distinguish real supply chain security engineers from adjacent AppSec talent in 2026.
A stolen Ripple-adjacent npm token pushed key-stealing versions of xrpl.js. Timeline, payload structure, and what XRPL integrators should do next.
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