A developer has published a practical AI agent security audit checklist with 8 critical tests for production deployments, based on over 1,730 verified findings across 12 codebases. The checklist inclu…
Correctover released correctover-patronus, an adapter that integrates its 87 deterministic verification rules as native evaluators within the Patronus AI framework. The tool adds six verification dime…
Correctover has built a detection framework to catch silent model swaps in production LLM systems, where providers return responses from different models than requested without notice. The framework o…
NeuralBridge, an open-source SDK for LLM pipelines, introduced 'Correctover'—a mechanism that verifies semantic correctness of LLM outputs before passing them to the next agent. In a real-world test, …