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.
The Model Context Protocol enables AI agents to interact with external tools and data sources. Securing MCP servers requires authentication, authorization, and input validation patterns specific to the AI agent context.
Understanding the SQL injection commands attackers rely on is the fastest way to learn how to defend against them. This guide explains the classes conceptually and focuses on detection and remediation.
AST spans SAST, DAST, SCA, and IAST — automated techniques for finding exploitable flaws before they ship. Here's how each works and where teams go wrong.
Choosing among SAST vendors comes down to language coverage, false-positive rate, developer workflow fit, and how the results reach the people who fix code.
Trivy is free and fast, but Aqua Security built it as a funnel to its paid CNAPP. Here's what the open-source scanner misses and how Safeguard closes the gap.
babel-core is safe when current, but its dependency chain has carried a code-execution CVE and a ReDoS issue. Here is what to patch and why re-compiling matters.
A software security assessment is a structured evaluation of an application's security posture across code, dependencies, configuration, and process. Here is how to run one that produces action, not a PDF.
ASPM correlates SCA, SAST, DAST, and cloud findings with reachability context to cut alert noise 60-90% and speed remediation.
ASPM and CNAPP tackle different layers of risk. Here's how Safeguard's application-first approach complements CNAPP platforms like Prisma Cloud.
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