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 side-by-side comparison of the major open-source licenses — MIT, BSD, Apache 2.0, MPL, LGPL, GPL, and AGPL — across permissions, conditions, copyleft strength, and patent handling.
Containers made shipping software faster, but every image is a stack of inherited software with its own attack surface. This guide covers the fundamentals: what a container really is, where the risks live, and the practices that keep images and runtimes safe.
Agent-based scanning installs software on each system to watch it from the inside. Agentless scanning inspects from the outside with no installation. One sees deeper; the other deploys faster.
in-toto is a framework for cryptographically verifying that every step in a software supply chain was performed as planned by authorized parties. Here's how layouts, link metadata, and functionaries fit together.
Application Security Posture Management (ASPM) unifies findings from every AppSec tool into one correlated, prioritized view of your risk. Here's what ASPM is, the tool-sprawl problem it solves, and how it differs from CSPM and ASOC.
A security advisory is an official notice that a product has a security flaw, plus how to fix it. Here is what advisories contain, who issues them, and how to act on one.
Open source powers nearly every modern application, but the code you inherit brings risks you did not write. This guide explains where open source risk comes from, how it reaches your product, and how to manage it without abandoning the ecosystem.
The red team plays the attacker, probing for ways in. The blue team plays the defender, detecting and stopping them. One breaks; the other protects.
A data flow diagram maps how data moves through a system and where trust changes — the foundation most threat modeling is built on. Here's how to draw one that actually surfaces threats.
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