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.
MCP gives AI agents real tools, real credentials, and real blast radius. Here is a hardening guide for running MCP servers in production without torching your environment.
AI agents can now open pull requests that patch vulnerabilities on their own. Without guardrails — scoped permissions, test gates, human merge approval — they can also break builds and introduce new flaws at machine speed.
The average enterprise runs dozens of security tools that barely talk to each other. This guide maps the categories, explains why consolidation is accelerating, and shows how to evaluate a platform.
AI accelerators are the specialized chips that make model training and inference fast, and they bring their own attack surface: memory leakage, driver stacks, and firmware you did not write. Here is what to secure.
The OWASP AI Top 10 is the community list of the most critical security risks in LLM applications, led by prompt injection. Here is what each entry means and how to defend against it.
node-xlsx is a thin wrapper around SheetJS, so its security posture is inherited. Here is what that means for parsing untrusted spreadsheets and how to lock it down.
The UK PSTI Act's first year of enforcement reveals how consumer IoT vendors are struggling with minimum security requirements, password rules, and disclosure policies.
A five-digit backlog is not a ranking problem, it is a filtering problem. Here is the funnel that turns 10,000 findings into a few hundred that deserve engineering time.
A breakdown of NIST 800-53 Rev 5's control families, SBOM and supply-chain requirements, and why scanning tools like Anchore cover only a narrow slice of what compliance demands.
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