Why Most GenAI Proofs of Concept Fail in Production

GEN AI Proofs of Concept Fail in Production

A GenAI proof of concept can demonstrate impressive results in a controlled environment and still struggle when introduced into production. The difference is rarely the model alone. Production introduces real enterprise data, complex integrations, security requirements, ongoing evaluation, operational support, cost considerations, and accountability that a POC may not have addressed. This creates a common… Continue reading Why Most GenAI Proofs of Concept Fail in Production

GenAI Security Beyond Prompt Injection

GenAI Security Beyond Prompt Injection

Organizations are rapidly adopting Generative AI to improve customer experiences, automate workflows, and enhance employee productivity. While prompt injection has become the most discussed AI security risk, it represents only one part of a much larger challenge. Enterprise GenAI applications rely on data sources, retrieval systems, external tools, APIs, and autonomous workflows that significantly expand… Continue reading GenAI Security Beyond Prompt Injection