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Testing AI agents is often slowed down by the need to collect, clean, and maintain evaluation datasets. In a new Microsoft Mechanics short, Azure AI Foundry is shown generating synthetic test data for an agent evaluation workflow, then pair...
Moving an AI agent from a local development environment into an enterprise-ready runtime is one of the practical gaps teams need to close be...
Microsoft Mechanics’ short demo highlights a practical security workflow inside Azure AI Foundry: selecting automated red-team attack strate...
A new Microsoft Mechanics short, “Why Only One Region Had Bad Connections,” highlights a scenario many cloud and EUC teams recognize: users ...
Container image policy enforcement is one of the most practical ways to reduce Kubernetes supply chain risk before vulnerable workloads ever...
Kubernetes privilege escalation can happen quickly, and the difference between a contained incident and a cluster-wide compromise often come...
Microsoft Mechanics’ short “19 Alerts, One Incident: An Azure-to-AWS Attack” highlights an operational reality many cloud security teams now...
Container security teams often put a lot of trust in image scanning, and for good reason: scanning helps catch vulnerable packages, misconfi...
Vector search is one of the practical building blocks behind more useful generative AI systems. In a short Microsoft Mechanics explainer, Mi...
A short Microsoft Mechanics clip highlights a useful cloud architecture lesson: when real-time transactional demand changes suddenly, the da...
Microsoft Mechanics’ short video highlights a practical architecture point with big implications: the ChatGPT service uses Azure Cosmos DB f...
Microsoft Mechanics has highlighted a useful capability for teams building AI agents in Microsoft Foundry: using evaluation results to autom...