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.
As AI models become critical infrastructure, the need for transparency about their components, training data, and dependencies grows urgent. Emerging standards are beginning to address this gap.
AI code generation tools are producing millions of lines of code daily. Here is a practical framework for auditing AI-generated code for security vulnerabilities and supply chain risks.
AI-powered code review tools promise to catch vulnerabilities faster than humans. We tested the claims against reality.
As organizations download pre-trained models from Hugging Face and other model hubs, the AI supply chain introduces risks that traditional software security tools don't address.
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