Securing RAG pipelines against injection attacks
RAG pipelines feed untrusted retrieved content straight into model context. Real breaches like EchoLeak show what happens when nothing checks it.
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.
RAG pipelines feed untrusted retrieved content straight into model context. Real breaches like EchoLeak show what happens when nothing checks it.
45% of AI-generated code fails basic security tests. Here's why type systems catch what code review misses, and how to enforce type-level security on AI-authored diffs.
Snyk's VulnBench JS 1.0 ran 300 repeated LLM scans and found half of non-reference findings vanish on rerun—raising the bar for AI security tooling.
jqwik 1.10.0 hid a prompt injection telling AI coding agents to delete tests. Here's how it worked, why it's protestware, and how to catch it.
AI coding agents now choose dependencies — and attackers are exploiting hallucinated packages and MCP backdoors that legacy SCA tools like Sonatype's were never built to catch.
Governments banned DeepSeek and other AI models in 2025 within days. Here's the security supply-chain risk teams face and how to find and fix it fast.
AI writes 30-50% of new code at many shops now, and 45% of it ships with security flaws. Here's how to build real trust in that pipeline.
CVSS scores can't keep pace with AI-generated code and 40,000+ annual CVEs. Here's why Sonatype's component-level model falls short and what real prioritization requires.
Cursor's Bugbot and MCP agents catch real bugs, but CurXecute and MCPoison show they open new attack surfaces SCA tools never had to face.
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