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.
New industry data shows most production containers still run on stale, vulnerable base images months after fixes ship -- here's why, and how to close the gap.
A practical buyer's guide comparing top SAST tools for enterprise apps -- strengths, limitations, and how Safeguard unifies findings across your pipeline.
Agentic AI systems trust tools and models at runtime, not build time. Real 2024-2025 incidents show how MCP servers and AI packages become supply chain attack vectors.
2026 data shows container registry credential leaks accelerating as CI pipelines speed up — and why layer-aware scanning, not just final-image checks, is now essential.
A practical comparison of DAST tools -- from OWASP ZAP to Invicti -- covering real strengths, limitations, and what Safeguard adds beyond runtime scanning.
AI agents now inherit more privilege than they need — and incidents like the Microsoft 38TB SAS-token leak and ServiceNow's Now Assist flaw show what happens when that privilege gets abused.
Distroless adoption is up nearly 3x since 2024, but Safeguard's 2026 scan data shows SBOM gaps, missed dependencies, and inflated CVE lists still undermine the hardening it promises.
A practical, no-fluff comparison of IAST tools for runtime application security testing — evaluation criteria, honest vendor tradeoffs, and where supply chain risk still slips through.
Attackers don't need to hack AI agents — they just redirect their own tools. Here's how tool misuse works, real 2025 incidents, and how to stop it.
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