Risks of AI-Generated Code
AI coding assistants now write nearly half of some codebases—and research shows 45% of that code ships with exploitable flaws. Here's what security teams need to know.
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.
AI coding assistants now write nearly half of some codebases—and research shows 45% of that code ships with exploitable flaws. Here's what security teams need to know.
What is SPDX? A plain-English guide to the ISO-standard SBOM and license format that documents what's really inside your software.
Vibe coding lets AI write entire apps from a prompt with little human review — here's what it is, real incidents it's caused, and how to detect the risk.
What is build provenance and why does it matter? A practical guide to SLSA attestations, provenance predicates, and verification pipelines for software supply chains.
Confidential VMs on Azure protect workloads in use, but the attestation flow is where their value gets unlocked. We trace how to wire it into a build and deploy pipeline.
EU AI Act enforcement began in 2026. Vendors sold as "AI security tools" are now high-risk systems with documentation obligations. The shape of the documentation matters.
A vulnerability in version 1.2.0 may not affect your 1.3.5 install if the fix reshaped the call signature. Version-aware resolution is where deterministic engines beat pure-LLM heuristics.
Alex Birsan's 2021 disclosure named a class of attacks. Four years on, dependency confusion has evolved across registries, tooling, and victim profiles.
JetBrains IDEs have a smaller plugin ecosystem than VS Code, but the security model is similar and the risks rhyme. Here is what to watch in 2026.
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