Integrating AI Tools Without Expanding Your Attack Surface
Stanford researchers found developers using AI coding assistants wrote more security bugs — and felt more confident in them. Here's how to adopt AI safely.
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.
Stanford researchers found developers using AI coding assistants wrote more security bugs — and felt more confident in them. Here's how to adopt AI safely.
AI agents can browse regional pricing, compare tiers, start a Stripe checkout, and verify activation — the entire Safeguard procurement journey now runs through the MCP server.
A practical buyer's guide to open source vulnerability database tools, CVE aggregation, and threat intel feeds for tracking OSS risk.
Kubernetes Secrets are base64, not encrypted. Real CVEs and the Tesla breach show how attackers exploit that gap — and how to close it.
Most teams can name their direct dependencies but not the hundreds of transitive packages actually running underneath. Here's why that gap is where real supply chain attacks live.
CI/CD pipelines now hold the keys attackers want most. Here's what tj-actions, Ultralytics, and Jenkins CVE-2024-23897 reveal about the trend.
Outdated dependencies sit in nearly every codebase. Here's what Equifax and Log4Shell reveal about the real cost of unpatched software supply chain risk.
How GitHub Actions workflow injection lets attackers hijack CI pipelines via untrusted input, real CVEs like CVE-2025-30066, and how to detect it.
xz-utils, event-stream, node-ipc: a decade of supply chain incidents traces back to one root cause — thinly maintained, single-person open source projects.
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