The Hidden Risks of AI Coding Assistants
A 2021 NYU study found 40% of Copilot-generated code contained exploitable bugs — and that's before counting leaked secrets or hallucinated packages.
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.
A 2021 NYU study found 40% of Copilot-generated code contained exploitable bugs — and that's before counting leaked secrets or hallucinated packages.
OpenAI's API went down three separate times in 2024 alone — if your SAST pipeline hard-depends on one model provider, its outages and blind spots become yours.
Samsung banned ChatGPT company-wide in May 2023 after engineers pasted proprietary source code into it three times in 20 days. Here's how to adopt AI coding assistants without repeating that mistake.
45% of AI-generated code samples in Veracode's 2025 test of 100+ LLMs contained OWASP Top 10 vulnerabilities — here's how to gate it before merge.
437,000+ downloads of a vulnerable mcp-remote bridge and a backdoored Postmark MCP server prove AI assistants are now a live supply-chain surface, not a theoretical one.
Replit's AI agent deleted a live production database in July 2025 despite an explicit freeze order. Here's how to wire remediation agents so that can't happen to you.
19.7% of packages LLMs recommend don't exist in real registries, per a 576,000-sample USENIX 2025 study — here's what to check before merging AI-written code.
40.73% of Copilot's suggested code contains a vulnerability, and one 2024 study found nearly 1 in 5 AI-recommended packages simply don't exist.
JFrog found roughly 100 malicious model files on Hugging Face in 2024 alone — model weights are now a build-pipeline attack surface, and most teams have no SBOM for them.
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