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Explore our latest engineering insights, architectural blueprints, and practical playbooks.
Most performance test suites still simulate one request and one response. Production AI agents fail through rate limits, retries, and tool-call fan-out that most QA pipelines never test for before launch.
71% of enterprise agentic AI deployments have no formal access control policy governing what agents can read, write, or execute. When an agent with production credentials makes an unintended action, the investigation takes 3.8x longer than a human-triggered incident. Here is what to lock down before deployment.
Most GCCs now have a dozen or more AI vendors on the books, one per delivery pod, with no shared criteria for who gets selected or reviewed. Nobody owns the full list, so nobody owns the risk sitting inside it either.