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.
AI coding assistants ship code fast — Veracode found 45% of AI-generated code contains security flaws. Here's what secure AI-assisted development actually requires.
The meaning of malware is simple — any software written to harm, exploit, or gain unauthorized access — but the categories and delivery methods are worth knowing.
A practical guide to the six Azure DevOps pipeline settings attackers exploit most, with exact controls to fix fork triggers, secrets, and agents.
Vector stores hold derivatives of your most sensitive text. We cover the access, isolation, and integrity controls production deployments of Pinecone and Weaviate need.
Legacy SAST/SCA scanning piles up findings without context, quietly building code security debt whose hidden cost shows up in engineering hours, audits, and breaches.
Your suppliers send SPDX. Your tools expect CycloneDX. Interoperability between SBOM formats is a real operational challenge. Here is how to solve it.
The Python itsdangerous library signs data so tampering is detectable. Getting it right depends on how you handle the secret key and key rotation.
How Snyk Code's in-file ignore annotations and UI-based suppressions work mechanically, from fingerprinting to Consistent Ignores, and where governance gaps appear.
Snyk Code speeds up repeat SAST scans on large codebases by re-analyzing only changed files instead of the whole repository each time.
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