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.
Anthropic's Mythos model is generating buzz for AI-powered vulnerability detection. We break down what it does well, where it struggles, and why security teams should approach the results with healthy skepticism.
AI/ML models are the new open source libraries. Here's why your supply chain security strategy needs to account for model provenance, poisoning, and compliance.
Expose the Safeguard MCP server to ChatGPT so the assistant can run live dependency scans and pull advisory data instead of guessing.
Connect the Safeguard MCP server to Claude Desktop so your AI assistant can scan dependencies, read SBOMs, and suggest fixes grounded in real advisory data.
LLMs can now generate SBOMs from source code and documentation. We tested five AI SBOM generators against traditional tools to measure accuracy, completeness, and reliability.
Safeguard.sh launches its MCP Server, bringing software supply chain security directly into AI-powered development workflows through the Model Context Protocol.
AI-generated voice and video deepfakes powered a new wave of phishing campaigns in early 2025. The technology is cheap, the results are convincing, and defenses are lagging.
Griffin is Safeguard's AI assistant that answers natural-language questions about your software supply chain, correlates threats in real time, and recommends actions.
Poisoned AI models are a supply chain threat that traditional security tools can't detect. Here are the emerging techniques for identifying compromised models.
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