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.
You have five engineers, zero security staff, and a product to ship. Here is the minimum viable security program that protects your startup without killing your velocity.
Mutation testing measures whether your security tests actually catch bugs by introducing small changes to code and checking if tests fail. Here is how to apply it to security-critical code.
NoSQL injection attacks exploit the query languages of non-relational databases to bypass authentication, extract data, and modify records. This guide focuses on MongoDB injection with defenses applicable to all NoSQL databases.
If you can't rebuild a binary from source and get the same result, you can't verify that the binary matches the source. Reproducible builds close this fundamental trust gap.
A deep look at Amazon Inspector v2 for container scanning, its improvements over v1, and how to get the most out of it.
Zero trust isn't just for networks. Applying zero trust principles to your software supply chain fundamentally changes how you manage dependency risk.
Microservices multiply your dependency surface. This guide covers service mesh security, inter-service authentication, and dependency management across distributed architectures.
Rust's compiler catches memory safety bugs. Clippy catches everything else -- including security anti-patterns the borrow checker does not care about.
An API vulnerability in Twitter allowed attackers to link phone numbers and email addresses to Twitter accounts, ultimately exposing data from 5.4 million users — and possibly over 200 million email-account pairs.
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