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.
Federal compliance is a long investment, not a marketing claim. Safeguard's FedRAMP HIGH and IL5 readiness is the difference between selling into government and sitting on the outside.
Gemini's multimodal capabilities are genuinely useful for some security workflows. For most security workflows, the modality is code and text, not images.
Retrieval context poisoning scales differently than direct prompt injection. The attacker's leverage grows with the RAG ingest surface.
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.
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.
The version a remediation tool picks matters more than the fact that it picked one. Griffin AI grounds its choice in the project; Mythos-class tools do not.
Two years ago, AI vendors shipped without evals. In 2026, the posture has shifted. Customers expect benchmarks. Vendors without them lose deals.
MCP servers are becoming a new dependency class with their own supply chain risks. How to think about registry governance, verification, and enterprise ingestion policy.
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