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.
Unauthorized MCP servers running on developer laptops are the agent-era equivalent of shadow IT. Here is how to inventory them, see them at runtime, and bring them under policy.
Four scanner families see four different slices of your risk. What SAST, DAST, IAST, and SCA each catch and miss, and how to sequence them in CI without drowning developers.
How DeepSource and CodeQL compare on rule depth, autofix capability, language coverage, and the workflow that drives adoption inside engineering organizations.
Precision agriculture platforms, FSMA 204 traceability databases, and the John Deere right-to-repair debate as a software supply chain question rather than a property rights one.
A pragmatic comparison of Claude and GPT for enterprise deployments in 2026, focused on the security and governance controls that matter to a buyer.
Shift left fails when it means shifting friction left. Here are the DevOps security best practices that catch issues early while keeping pipelines fast enough that engineers leave the gates on.
Twenty state comprehensive privacy laws are in force by 2026. Most carry baseline security mandates that security teams - not just privacy lawyers - must operationalize.
NIST SP 800-218A turned the SSDF into an AI community profile in July 2024. Eighteen months later, what does real adoption look like for AI software teams?
The xz-utils backdoor was made possible because a single exhausted maintainer accepted help from a patient and well-resourced stranger. Sustaining critical maintainers is now a security problem, not just a moral one.
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