Netskope AI guardrails

A prompt is the text a person or software agent sends into an artificial intelligence model, and a guardrail is a filter that checks that traffic before it goes in or comes back out. Netskope said on April 22 it added that kind of check to Google Cloud’s Vertex AI service for enterprise workloads. (stocktitan.net) Netskope said the new setup runs inside a customer’s Google Cloud instance, scans both prompts and model responses, and is built on Google Cloud Tensor Processing Units, or TPUs, alongside Vertex AI. The company said the product is aimed at generative AI systems and autonomous software agents that need low-latency, in-line checks. (stocktitan.net) In-line means the screening happens in the live path of a request, not in a later audit. Netskope said the service checks for prompt injection, jailbreak attempts, unsafe content, and data leaks as traffic moves through the model workflow. (netskope.com) Google already offers its own screening layer in Vertex AI through Model Armor, which can inspect or block prompts and responses sent to Gemini models. Google’s documentation says Model Armor works through floor settings or templates and requires Cloud Logging for visibility into sanitization results. (cloud.google.com) Netskope is pitching its layer around compliance as much as security. In the April 22 announcement, the company said the product is designed to help organizations support General Data Protection Regulation, Health Insurance Portability and Accountability Act, and European Union AI Act requirements during runtime. (stocktitan.net) That focus reflects how AI controls are moving closer to the model call itself. Google said in 2024 that its broader AI Protection tools were built to safeguard AI workloads and data across clouds and models, while Netskope’s own product pages now describe AI guardrails as a dedicated runtime defense layer rather than a separate review step. (cloud.google.com) (netskope.com) Netskope has been building out that portfolio for months. On March 11, 2026, the company announced Netskope One AI Security, and its documentation says customers can combine AI Guardrails, AI Gateway, and AI Red Teaming for real-time controls across AI applications and private models. (netskope.com) (docs.netskope.com) The company’s product material says the guardrails service supports 29 languages and can be configured to allow, block, alert, or warn users when a policy is violated. Netskope’s policy documentation says administrators can set the most restrictive action to win when multiple profiles match the same request. (netskope.com) (docs.netskope.com) Netskope is not the only company trying to secure AI at the platform layer, but its Google Cloud announcement puts the compliance check directly into the transaction path. For companies building on Vertex AI, that means the filter now sits where the prompt and response actually move. (stocktitan.net)