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 Kubernetes container security scanner checks images, manifests, and running workloads for known vulnerabilities and misconfigurations. Here is how the pieces fit and where to place them in a pipeline.
Retrieval context poisoning scales differently than direct prompt injection. The attacker's leverage grows with the RAG ingest surface.
Gemini's multimodal capabilities are genuinely useful for some security workflows. For most security workflows, the modality is code and text, not images.
Federal compliance is a long investment, not a marketing claim. Safeguard's FedRAMP HIGH and IL7 readiness is the difference between selling into government and sitting on the outside.
The AI Bill of Rights is a White House blueprint of five principles for building automated systems that respect people's rights. Here is what it says and how it maps to real engineering controls.
A concrete, timed playbook for the 72 hours after a critical dependency advisory — inventory, reachability, containment, remediation, and retrospective.
JavaScript security means managing three attack surfaces: runtime bugs, browser XSS, and npm supply chain compromise — the last of which caused 2025's biggest incidents.
Photo analysis AI can read faces, locations, and text out of images at scale. The security questions are about where those images go and what the model leaks back.
spring-security-oauth2-jose sits at the center of many Java auth stacks, but the legacy project is deprecated and its JOSE/JWT dependencies carry their own patch history; here is how to assess and reduce the risk.
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