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 OWASP LLM Top 10 is the closest thing the field has to a shared checklist for AI security. Here is what each of the ten risks actually means, in plain language, with the defenses that matter.
Most container security policies get written once, ignored during the next sprint, and rediscovered during an audit — here's how to write one that engineers actually follow.
Multi-stage builds are pitched as a way to shrink images. Their bigger payoff is security: build secrets, compilers, and toolchains that never reach production. Here is how to use them right.
Attackers escalate GCP privilege using IAM actAs chains, default Editor service accounts, and Cloud Build tokens -- no exploit code required.
Unmaintained open source components quietly power critical software until a bug hits and no one is left to patch it. Here's the risk, and how to manage it.
Bolting a scanner on before release doesn't count as shift-left. Here's where security actually needs to sit across the SDLC, and why mobile testing is often the weakest link.
Vulnerability management is the continuous, cyclical process of identifying, prioritizing, remediating, and verifying security weaknesses across your software and systems. Here's the full lifecycle and how to run it without drowning in findings.
MCP is the USB-C of AI integrations — one open standard for connecting models to tools and data. It also standardizes a fresh attack surface, so understanding both halves matters.
WebSockets skip the same-origin policy and don't carry your REST auth for free. Cross-site WebSocket hijacking is the flaw teams miss. Here's how to secure the handshake.
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