Official company update
Powering Production AI with VAST, NVIDIA, and Agent Sandboxes
Publisher preview
Sagi Grimberg, VP of Architecture | Simon Golan, Data Solutions Team Lead | Derrick Harris, Technology Storyteller Rather than rushing AI agents into production, large enterprises, tech companies, and other security-conscious organizations are keeping agents on a tight leash until they can get them under control. When we set AI agents free to solve a problem or complete a task without first determining every step they should take, we’re treating them like human employees. Unlike human employees, however, AI agents lack accountability. There’s no concern of repercussions if their actions negatively impact the business. All you can do is attempt to unwind any damage and ensure the same mistake doesn’t happen again. Also unlike humans, agents can proliferate as fast as we want them to. One agent today could become 1,000 agents tomorrow, all without HR lifting a finger.
A saved ApplyDjinn digest is not available for this story yet.
This preview is supplied by the publisher. The complete publication remains at its original source.
Request a correction or removalApplyDjinn context
What else is visible for VAST Data?
These are observations in our catalog around the company, not claims made by the article. A publication does not establish why hiring, search interest, or share prices moved.
Current roles
22
30-day current-market scope
Company stories · 30d
12
12 official · 0 independent
Attention records · 7d
0
0 Google · 0 Polymarket
Coverage mix
Attention sources
No matching record in this window.
Open roles
22
Technical roles
13 of 22
Observed hiring change
-11 roles
Hiring and market history
Daily vacancy snapshots show this company’s observed hiring; no standalone public ticker is assigned.
Vacancy history
Current role mix
13 technical · 9 other
59% of currently observed roles are technical.
Vacancy history uses saved daily snapshots through 2026-10-29. News counts are dated publications; attention counts are matched records, not search volume or prediction probabilities.