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promptly!",{"href":17036,"text":11755,"buttonColor":123,"type":3879,"as":16992,"externalUrlNewTabSameTab":146,"bluePillLink":146,"url":17036,"longUrl":16616,"icon":16616,"target":-1,"modal":16616},"https:\u002F\u002Fwww.vastdata.com\u002Fcontact",{"fields":17038,"sys":17495,"metadata":17505,"recentPosts":17520,"algoliaRecentPosts":17819,"dataCapacityToday":17820,"unitaryFormFields":17821,"tagMap":17933},{"title":17039,"slug":17040,"publishedDate":17041,"author":17042,"thumbnailImage":17043,"markdownContent":17078,"socialIcons":17079,"hidden":146,"seo":17274,"unitaryForm":17307,"isPodcast":146},"How Do You Keep Enterprise AI Agents Under Control?","how-do-you-keep-enterprise-ai-agents-under-control","2026-10-07","Nicole Hemsoth Prickett, Head of Industry Relations | Alon Horev, Co-Founder and CTO, VAST 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Keep-Enterprise-AI-Agents-Under-Control",{"url":17073,"details":17074,"fileName":17077,"contentType":105},"\u002F\u002Fimages.ctfassets.net\u002F2f3meiv6rg5s\u002F3SkMhCsFaPipoRo9CqYTEs\u002F2a46351e8b425e3ad0c6fed2e6e1b8e8\u002FCR-15566_SE_BFI_Keep-Enterprise-AI-Agents-Under-Control.webp",{"size":17075,"image":17076},105624,{"width":102,"height":103},"CR-15566_SE_BFI_Keep-Enterprise-AI-Agents-Under-Control.webp","AI agents are moving into the enterprise, but giving them more autonomy means giving them more access. They need corporate data, search, applications and tools, and eventually the ability to take actions without waiting for a human at every step.\n\nAs we discuss in the latest episode of the Shared Everything podcast featuring a chat with VAST Data co-founder and CTO Alon Horev, all of this creates a basic infrastructure question: how do you let agents do useful work without losing control of what they can see and do?\n\n\u003Ciframe height=\"200px\" width=\"100%\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https:\u002F\u002Fplayer.simplecast.com\u002Fa42e1309-d77e-40c9-bb4f-1f2c17256636?dark=false\">\u003C\u002Fiframe>\n\nHorev makes the case for agent sandboxes as part of that answer. An agent needs a controlled runtime with clear boundaries around its access, but it also needs enough freedom to complete the task it was given.\n\nAnd because an agent can make a bad decision that might not be discovered until much later, enterprises need an observability layer that records what it accessed, what it produced and what actions it took.\n\nThose sandboxes also have to persist, he argues, and for good reason. An agent may create files, analyze data or build up a working environment that is still useful after the immediate task is finished. It may stop working and return a day or a week later.\n\nAs he explains, this data cannot simply live on whatever machine happened to run the agent. Supporting large numbers of persistent agent environments turns the sandbox itself into a data platform problem.\n\nScale makes this more interesting. 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Martinos Imaging Center","Customer: Verizon","Industry: Telecommunications","Customer: Jump Trading","Customer: Kanal 75","Customer: University of Utah","Industry: Energy & Utilities","Customer: Northeastern University","Customer: San Diego Supercomputer Center","Customer: European Bioinformatics Institute (EBI)","Customer: Squarepoint Capital","Partner: Google","Customer: Walter and Eliza Hall Institute of Medical Research (WEHI)","Partner: Splunk","Customer: Zoom","Partner: Dalet","Customer: Pixar","Partner: Superna","Customer: Air Force Research Laboratory (AFRL)  - Maui HPC Center","Customer: Aquatic Capital","Competitor: Cloudera","Competitor: MinIO","Customer: Man Group","Customer: NREL","Customer: University of Pisa","Customer: Lola Visual Effects (Lola VFX)","Customer: PacBio","Customer: Salk Institute for Biological Studies","Customer: Beyond ONE","Partner: Run:ai","Partner: Cisco","Funnel: Loyalty","Competitor: IBM","Customer: REDLAB","Customer: Core42","Customer: Scott Data Center","Customer: Nebul Assembly","Customer: Deloitte","Customer: University of Massachusetts (UMass)","Partner: Supermicro","Industry: Research Universities","Competitor: Pure","Customer: Northern Data Group (Taiga Cloud)","Industry: Media & Entertainment","Partner: Cohesity","Partner: Trino","Partner: Veritas","Customer: Lunit","Partner: Commvault","Customer: CINECA","Product: InsightEngine","Industry: Hedge Funds","Partner: Vertica","Partner: Veeam","Funnel: Purchase","Customer: Advania","Industry: Cloud Service Providers","Customer: Crusoe","Product: Gemini","Partner: Dremio","Customer: GWDG","Partner: Equinix","Customer: Durham University","Product: DASE","Industry: Higher Education & Research","Customer: Chan Zuckerberg Initiative","Industry: Healthcare & Life Sciences","Partner: WWT","Partner: Model9","Competitor: Dell","Partner: SoDA","Customer: Lambda","Partner: Lenovo","Partner: SQream","Use Case: RAG","Partner: NVIDIA","Persona: Practitioner","Industry: Financial Services","Use Case: Compliance","Product: DataStore","Product: DataBase","Customer: Mercury Systems","Customer: NHL","Funnel: Consideration","Persona: Champion","Industry: Broadcast","Product: Data Platform","Product: DataSpace","Location: AMER","Customer: HSBC","Industry: Banking","Resource Type: Ebooks","Resource Type: Calculators","Event: Virtual Event","Use Case: Machine Learning","Location: Online","Location: Global","Location: APAC","Location: EMEA","Event: Trade Show","Tag: NVDIA DGX","Tag: NVDIA","Tag: Perspectives","Resource Type: Configuration Guides","Tag: Animation & VFX","Resource Type: Infographics","Featured","Resource Solution: High-Performance Computing","Event: Webinar","Resource Solution: Sustainability","Event: In-Person Event","Resource Solution: Enterprise Backup & Recovery","Resource Type: Videos","Resource Type: Success Stories","Resource Type: White Papers","Resource Type: Webinars","Resource Type: Solution Briefs","Resource Type: Datasheets","Resource Type: Analyst Papers","Category: Product","Category: People","Category: Perspectives","Category: Solutions","Category: Business","Resource Solution: Quantitative Trading","Resource Solution: Life Sciences","Resource Solution: Deep Learning","Resource Solution: Data Analytics","Use Case: Data Protection","Use Case: Containers","Use Case: Big Data","Use Case: Artificial Intelligence","Industry: Oil & Gas","Use Case: Enterprise Backup & Recovery","Technology: Hadoop","Technology: Graphcore","Technology: Elastic","Technology: Confluent","Technology: Cohesity","Technology: Cisco","Technology: AWS","Technology: NVIDIA","Industry: Animation & VFX","Industry: Academia","Industry: Media & Broadcast","Technology: Vertica","Technology: Veeam","Technology: Splunk","Technology: Rubrik","Technology: Dremio","Technology: Commvault","Use Case: Deep Learning","Industry: Quantitative Trading","Industry: Life Sciences\t","Industry: Public Sector"]