
Best Generative AI Security Solutions For Enterprises: The 2025 Buyer’s Guide To Layered Protection
This article explains why enterprises should secure GenAI before scaling, covering LLM-specific risks like prompt injection, insecure output handling, data poisoning, model denial of service, and supply chain exposure, alongside classic web and app threats. It shows how layered protection works in practice with a GenAI firewall for prompts and responses, a secure workspace for governed employee use, and website integrity monitoring to protect public-facing sites. You will also get a clear evaluation framework, a rollout sequence aligned to NIST AI RMF-style governance, a worked ROI and TCO example, and a clearly labelled hypothetical case study showing how the layers reduce shadow use and create audit-ready evidence.

