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.
aws-sdk-mock targets AWS SDK v2, which is now in maintenance mode. Here is how it works, where the security risk lives, and how to migrate to aws-sdk-client-mock for v3.
Anthropic's Mythos model claims to find vulnerabilities in open-source code using a single LLM. We analyze where this approach falls short and why production-grade zero-day discovery requires Safeguard's Multi-Agent TAOR Deep Think AI Engine.
Pervasive AI means models embedded in nearly every application and workflow. That ubiquity creates a security surface most programs have not mapped. Here is how to think about it.
OWASP's secure code review guidance gives structure to what could otherwise be an unfocused read-through — here's a practical checklist built around it.
Before you add react-native-pager-view npm installs to a mobile app, run the same vetting you would for backend code. Here is a practical checklist using four popular packages as case studies.
Large language models are being used to find vulnerabilities in open-source code. But a single model, no matter how capable, isn't enough. Here's why multi-agent orchestration, structured CWE analysis, and deep context matter more than model size.
Most platform comparisons stop at features. The API surface is where automation and integration actually happen — and where vendors quietly diverge.
Workers Builds emits provenance attestations for the code it deploys. We trace how to verify them, gate on them, and integrate them into a multi-cloud supply chain program.
A critical flaw in Next.js allowed attackers to bypass middleware-based authorization by setting a single HTTP header. Applications relying on middleware for auth checks were completely exposed.
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