Best AI Usage Control Software for Microsoft Foundry
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Compare the Top AI Usage Control Software that integrates with Microsoft Foundry as of May 2026
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This a list of AI Usage Control software that integrates with Microsoft Foundry. Use the filters on the left to add additional filters for products that have integrations with Microsoft Foundry. View the products that work with Microsoft Foundry in the table below.
What is AI Usage Control Software for Microsoft Foundry?
AI usage control software helps organizations monitor, govern, and limit how artificial intelligence systems are accessed and used across teams and applications. It provides visibility into AI consumption patterns, tracks model usage, and enforces policies such as access rights, quotas, and cost thresholds to prevent misuse or overuse. The software often includes real-time alerts, audit logs, and compliance reporting to ensure responsible AI deployment and alignment with internal governance standards. Many solutions integrate with identity management, billing systems, and AI platforms to centralize control and policy enforcement. By managing how AI is used across an organization, AI usage control software enhances security, cost efficiency, and ethical compliance. Compare and read user reviews of the best AI Usage Control software for Microsoft Foundry currently available using the table below. This list is updated regularly.
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Prisma AIRS
Palo Alto Networks
Prisma AIRS AI Runtime Security is a purpose-built solution designed to protect LLM-powered applications, agents, models, and data during live operation, delivering real-time visibility, assurance, and governance across the entire AI lifecycle. It monitors AI behavior continuously, enforcing safeguards that detect and block threats traditional security tools cannot see, such as prompt injection, malicious code, toxic outputs, data leakage, and unsafe or unauthorized actions. It enables organizations to discover all AI assets in use, including shadow AI, and understand how agents, apps, and models interact across environments. It continuously assesses risk by testing AI systems, controlling permissions, and tracking security posture in real time, while integrating controls that prevent manipulation and exposure during runtime interactions. With adaptive protection, it defends against evolving and zero-day threats, using real-time analysis of inputs, outputs, and execution.
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