"data access"

Current assumption is whoever builds the smartest model will control the future of AI. Recent events suggest a different possibility.

What needs to happen before smart AI assistants make the annoying parts of your life go away?

Enterprises are deploying AI agents at a pace that their security and governance functions were not built to absorb.

The control plane is about whether agents are allowed to run, under what constraints and with what evidence.

Snowflake's quiet Natoma buy, alongside a $6B AWS deal, reveals its real ambition: governing what AI agents do, not just storing the data th...

If you can’t systematically track your own controls, tracking third-party data access is even less likely.​

If AI adoption is lagging or not bringing any real value, the problem might be your operating model.

Browser capabilities will still exist, though, in OpenAI's desktop AI.

The biggest threat to your phone isn't malware, it's how you conduct yourself online.

Security teams need continuous visibility and governance that shows where sensitive data resides, who can access it and how it is being used...

Without a clear view of where sensitive data lives, who can access it and how it moves, blind spots can quickly turn into security, complian...

The more information we all collect and retain, the bigger the challenges get, particularly when so much business data is unstructured.