AI innovation without risk management is a gamble. This blog outlines the 10 most important elements from the AI Risk Management Framework—covering everything from privacy and IP protection to transparency, ethics, and environmental impact. Learn how to innovate responsibly.

Microsoft Copilot promises productivity—but also raises major security flags. This post explores the real risks behind integrating Copilot into Microsoft 365, including data misuse, privacy gaps, and oversharing. Learn how to stay compliant and protected with tools like Microsoft Purview.

AI agents are powerful, but they’re not autonomous. This post unpacks how large language models work, why they lack true agency, and the importance of keeping the ethical responsibility for AI use with humans. Nexigen explains how to view AI realistically—without hype or fear.

Not all CoPilots are created equal. This post explores the security differences between Microsoft 365 CoPilot and custom CoPilots built in CoPilot Studio. Learn why API access, guardrails, and custom governance make tailored solutions critical for compliance, security, and safe AI adoption.