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 security-minded review of supertest npm, the SuperAgent-driven HTTP testing library: where it fits, what its dependency surface looks like, and how to keep test code from leaking into production risk.
SCA is required wherever you ship code built on open-source dependencies and need to prove which components you use and whether they carry known vulnerabilities.
Calling python pickle load on data you do not fully control can execute arbitrary code. Here is why, and what to use instead.
How Python's pickle.dump actually works, a runnable example, and the deserialization risk that turns a saved object into remote code execution.
PII is any data that can identify a specific person. Here is how to classify it, where it leaks in software systems, and what regulators expect you to do about it.
A web application security assessment is a structured evaluation of an app's exposure across code, dependencies, configuration, and runtime behavior. Here is how to run one that finds real issues.
AI SAST isn't one thing. Aikido bolts AI onto a rule-based Semgrep fork; AI-native tools use AI as the detection engine itself. Here's the real difference.
A defensive SQLi cheat sheet that shows how injection works conceptually, how to spot it in code and traffic, and the parameterization patterns that actually stop it.
NIST secure coding standards are not one document but a set of practices spread across SSDF, SP 800-53, and the SAMATE guidance. Here is what each one asks of your team.
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