Data governance answers a deceptively simple question: How should an organization manage, understand, use, protect, and take responsibility for its data? That question now matters far beyond traditional …
Data access risk starts with a simple question: Who or what can reach your sensitive data? The answer has become harder to determine as access expands across human …
AI adoption rarely follows a single, centrally managed path. An employee tries a new AI assistant. A developer connects a coding agent to a repository. A business team …
What CI Fortify’s Isolation Steps Actually Require From Your Data CISA’s new CI Fortify initiative, built jointly with the Australian Signals Directorate, the UK’s NCSC, and Canada’s Cyber …
Artificial intelligence is rapidly becoming embedded across enterprise applications, business processes, data platforms, and employee workflows. Generative AI assistants, copilots, machine learning models, and autonomous agents can improve …
Artificial intelligence is transforming how organizations work. From generative AI assistants and enterprise copilots to predictive analytics and autonomous agents, AI is helping businesses improve productivity, accelerate innovation, …
Every fictional AI villain gets a moment where it decides humans are the problem. HAL 9000 decides the mission matters more than the crew. Skynet decides humanity is …
A year ago, AI regulation was mostly theoretical everywhere you looked. In the US, Colorado had passed a comprehensive AI law that hadn’t taken effect, and California’s SB …
Responsible AI requires more than ethical principles and governance policies. It requires the technical infrastructure to enforce them. At the center of that infrastructure is the data layer: …
Responsible AI has moved from a best practice to a business requirement. Regulators are demanding it. Boards are asking about it. Enterprise customers are making it a procurement …