Introducing Stigg 2.0 Governance: The First Milliseconds-Latency Usage Control Layer for AI

Enterprises often face issues with AI usage going over budget due to a lack of real-time usage control, leading to trust issues with clients who unexpectedly exceed their allocated AI resources. Stigg Governance offers a solution by providing the first real-time usage control layer for AI products, ensuring that usage is monitored and enforced in milliseconds across various user hierarchies without causing latency or memory issues. Unlike traditional reporting tools, Stigg acts as a decision engine, evaluating entitlements and enforcing budget limits before costly operations occur, with the ability to configure how failures impact the system. This governance layer allows for precise cost attribution and model-level controls, enabling enterprises to manage their AI budgets effectively and providing clients with the ability to self-manage through dashboards and alerts. The ability to control and attribute AI usage is becoming a requirement for large AI deals, transforming governance from a potential sales hurdle into a compelling feature.

No tracked trend matches for this post yet.