A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Imagine a retail firm’s AI spitting out a sales forecast for a regional manager, merging public market trends, open to all, with sensitive customer purchase histories, restricted to top execs. The ...
Designing the data access solution Deploying automated data policies Auditing and maintaining The key requirements for cloud data is configuring a scalable access control model, making the data ...
Data is one of organizations' most potent assets in an era of growing competition and artificial intelligence (AI) mandates. However, effectively managing and using it requires balancing strict ...
As enterprises integrate AI agents into their workflows, a silent shift is taking place. Security controls built on static access policies designed for predictable behavior are colliding with systems ...
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