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.
Field notes on running Tetragon, Falco, and Cilium eBPF controls in production Kubernetes clusters, with observed overhead, policy traps, and kernel constraints.
A vulnerability that passes through a working sanitizer is not a vulnerability. Detecting that sanitizer accurately is the difference between actionable findings and noise.
An audit trail is only useful if you can answer questions from it. Quality is not about volume — it's about the ability to reconstruct decisions after the fact.
Bedrock Guardrails now span prompt filtering, contextual grounding checks, and tool-use policies. We trace how they fit into a supply chain threat model for production agents.
From AI-generated code risks to regulatory enforcement and package manager security evolution, here are the trends that will define software supply chain security in 2025.
AI Python code correctors fix syntax and obvious bugs fast, but they miss the security and correctness issues that matter most. Here is where they help, where they fail, and how to use them safely.
Jailbreaking AI means getting a model to bypass its own safety guardrails. This guide explains how jailbreaks work conceptually, how they differ from prompt injection, and how to build layered defenses.
A practical container runtime comparison for 2026 buyers: containerd, CRI-O, gVisor, Kata, and Youki measured against real production workloads.
Where AI-BOM and ML-BOM specifications stand in 2026, which formats have real adoption, and what to capture today even if the standards are still in motion.
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