3 verified briefings on Governance. Each story includes a plain-English summary, why it matters, and the concrete action engineering teams should take.
Gartner predicts that by 2025, 40% of enterprise autonomous AI projects will be partially derailed by governance failures. These gaps are often discovered only after production incidents occur, stemming from a flawed, all-or-nothing approach to trust and control, according to the analyst firm.
In a recent discussion, experts from Dataiku and 1Password explored the next frontier of AI challenges. They covered the essentials of data governance, managing complex data supply chains, and the critical need for robust security frameworks to protect increasingly autonomous and interconnected AI agent swarms.
Employees are increasingly using unapproved AI tools, creating security risks. A new guide outlines a five-step approach for companies to manage this "shadow AI." The goal is to establish practical governance and security policies without hindering employee productivity or innovation, balancing control with enablement for teams.