Latest Articles
Insights and guides on AI security and LLM application development
Scanning LLM application code for OWASP Top 10 Vulnerabilities
Here we introduce a mapping between the OWASP Top 10 Risk & Mitigations for LLMs and Gen AI Apps and code scans that can detect susceptibility to these risks.
April 7, 2025Andrew Marble
Code Quality in LLM Applications: Beyond Model Performance
A deep dive into how code quality impacts LLM application security and performance, and why organizations need policies to enforce responsible development practices.
April 1, 2025Andrew Marble
Scanning the OpenAI Cookbook with Kereva-Scanner
OpenAI maintains a community contributed 'Cookbook' of patterns for using their API. We scanned it for code issues.
March 20, 2025Andrew Marble
Deterministic scans of AI model implementations
Beyond evals: A look at scanning tools for AI model security and performance.
March 15, 2025Andrew Marble
Evals are not all you need
Evaluations are useful for ranking models but flawed as a guarantee of software performance.
March 12, 2025Andrew Marble