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 is transforming how AI agents interact with tools, but it introduces new attack surfaces. Here is what security teams need to understand.
spring-boot-starter-actuator gives you production-grade health and metrics endpoints, but a single misconfigured deployment can leak secrets and heap dumps to the internet.
Flask ships without built-in CSRF, headers, or session hardening. Here's how real CVEs like debug-mode RCE and cookie forgery get exploited—and stopped.
AI agent tools can hide invisible instructions attackers use to steal data. Here's how tool poisoning attacks work and how Safeguard stops them.
A practical, criteria-based comparison of Safeguard and Mend.io for AI-SPM buyers: provenance verification, AI-BOM depth, and CI/CD policy enforcement.
Hacking tools are the same instruments attackers and defenders both use to probe systems. Knowing the major categories helps you test your own environment before someone else does.
Django's secure-by-default reputation hides real gaps: SQL injection via Trunc()/Extract(), ReDoS in Truncator, and misconfigured DEBUG settings still cause incidents.
MCP lets AI models call tools automatically — and lets malicious servers hide instructions in plain sight. Here's how tool poisoning, rug pulls, and shadowing actually work.
Best AI red teaming tools ranked: how Mend.io's SCA scanning and Safeguard's exploitability-first SBOM analysis actually differ for AI supply chain risk.
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