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.
Reasoning models have arrived in security tooling. Evaluating them requires different methodology from evaluating classification or generation models. Here is what good evaluation looks like.
How the email-validator Python package works, why regex-only validation is a trap, and the deliverability checks that quietly protect your signup flow.
Dark AI refers to generative models turned to malicious ends, from phishing at scale to malware assistance. Here is what defenders need to understand and do.
DAST, SAST, IAST, and SCA each catch a different slice of application risk. Here's how they overlap, where each one is blind, and how to combine them without duplicating effort.
Expose the Safeguard MCP server to ChatGPT so the assistant can run live dependency scans and pull advisory data instead of guessing.
RSA Conference 2026 centered on AI governance, software supply chain regulation, and vendor consolidation. Here is the analyst view of what mattered.
No CVE, no CVSS — just one unpublished package that broke the internet's build pipelines. Here's what left-pad still teaches security teams.
An agile data security platform is marketing shorthand for tools that adapt security controls as fast as data moves — here's what actually separates a real one from the label.
What to screen for, how to structure interviews, and the signals that distinguish real supply chain security engineers from adjacent AppSec talent in 2026.
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