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.
What 2026 cyber insurance policies actually exclude for software supply chain incidents, how carriers test your controls, and what to negotiate before renewal.
JSR is the first mainstream package registry designed with supply chain security as a founding constraint. Here is what it gets right and what it has not solved yet.
Data residency for AI workloads has moved from nice-to-have to contractually required. The shape of the requirement is specific and worth knowing before procurement.
A false positive is not free. It costs engineer attention, trust in the tool, and eventually the security programme's credibility. We price the difference.
Injection vulnerabilities are not really about the sink. They are about the path from untrusted input to the sink. The path is where Griffin AI and Mythos-class tools diverge.
Open-weight models let you run everything locally. The tradeoff is quality, cost, and operational overhead. Griffin AI provides a different answer to the same on-prem need.
Fine-tuning inherits every problem of the base model and adds dataset provenance as a new one. Here is how detection actually works in practice.
A senior engineer's breakdown of how Safeguard.sh and Snyk differ in 2026 across SCA depth, reachability analysis, remediation, and container security.
The Safeguard MCP Server is publicly available and works with Claude Desktop, claude.ai, Claude Code, ChatGPT, Cursor, Gemini, and Grok. Here is the tool surface.
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