The defensive security posture underpinned by statistical AI applications is formidable. Organizations can analyze massive quantities of data to determine patterns indicative of cyber attacks,… Read More »Best practices for AI-based security for 2025
The utility derived from the Generative Adversarial Network (GAN) approach to advanced machine learning is less celebrated than that gained from its language model counterparts.… Read More »Deconstructing Generative Adversarial Networks and synthetic data
The Retrieval Augmented Generation (RAG) paradigm has popularized the notion of supplementing prompts for GenAI models with trusted enterprise data. Many organizations utilize this practice… Read More »Revamping prompt augmentation: Multi-agent architecture and LangGraph
