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.
Require a working reproducer, check shipped versions and reachability first, handle low severity in public, and turn valid reports into tested fixes.
Yes, for part of the job. AI review finds real bugs, but trust only findings with a proof and fixes with a fail before, pass after test. Here is how.
A WAF inspects HTTP traffic for known attack patterns. An API gateway manages access, routing and limits. Learn what each covers and where both fall short.
TypeScript projects carry runtime code and type packages. Learn how to separate them, review @types, and know what skipLibCheck hides from you.
Threat modeling asks what can go wrong in a design. Risk assessment ranks risks across an organization. Teams need both, and each feeds the other.
Use the system generator or SecRandomCopyBytes for secrets, prefer CryptoKit to low-level APIs, never reuse a nonce, and avoid the Insecure algorithms.
Twelve code review checks for Ruby teams, from eval and html_safe to open redirects, file paths, sessions and gem updates, each with a smell to search for.
Use java.security.SecureRandom for tokens and keys in Scala, never a seeded generator, and let a maintained library handle AES modes, IVs and key storage.
In Kotlin, keep secrets out of the repository, assume anything shipped in an Android app can be extracted, and use Keystore, scoped keys and a backend.
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