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 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.
An honest buyer's guide to the best SAST tools in 2026 — from Semgrep and CodeQL to SonarQube, Snyk Code, and Checkmarx — plus how reachability analysis and agentic AI are reshaping static application security testing and where Safeguard fits.
A mechanical look at how Snyk ships one JetBrains plugin across IntelliJ, PyCharm, WebStorm, GoLand, and Rider using a shared platform and backend scan engine.
VS Code themes with 9M installs shipped backdoors; Cursor's rules files were hijacked in 2025. Here's what AI IDE extension security actually requires.
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