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 working cheatsheet for Java: modern list creation, summing collections with streams, generating random strings safely, string handling, and the idioms worth memorizing in 2025.
A software composition analysis tool inventories your open-source dependencies and flags the vulnerable ones. Here is how it differs from static code analysis and how to pick one.
How Snyk's AI-BOM tooling discovers prompt files, SKILL.md packages, and MCP tool chains, and the detection engine it uses to flag prompt-injection risk.
A technical look at how Snyk's DeepCode AI engine, Agent Fix, and Snyk Studio MCP server scan and govern code from AI coding assistants like Claude Code and Cursor.
How Snyk's Evo AI-SPM extends ASPM's discover-assess-enforce loop to models, datasets, and agents, based on its March 2026 GA launch and public documentation.
Static analysis catches known vulnerabilities. Runtime detection catches exploitation. Here is how to implement runtime threat detection for containerized workloads.
Gartner warns that by 2030 most SOC teams could lose foundational analysis skills to automation overdependence. Here is what skill erosion actually looks like, and the practices that keep human judgment sharp inside an AI-powered SOC.
Agentic AI, post-quantum cryptography, and ransomware economics dominated Infosecurity Europe 2026. Here is what actually mattered on the floor at ExCeL London, and what was hype.
A technical look at how Snyk's Go-based Language Server uses LSP and a delegating scanner pattern to power VS Code, JetBrains, and Eclipse plugins from one binary.
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