Veeam推出iResOps数据韧性产品
Veeam在VeeamON Global Launch线上活动上发布Veeam Intelligent ResOps(iResOps),首个正式可用工作负载为Microsoft 365。公司称,面向Veeam Data Platform和Okta的iResOps处于私有预览,GitHub、Azure DevOps和Google IAM预览计划于第四季度推出。SiliconANGLE专栏作者Zeus Kerravala认为,智能体AI正推动安全与数据韧性融合,并引用Veeam调查称88%的组织正在使用或试点AI智能体,但仅7%真正具备AI就绪能力。
Veeam首席执行官Anand Eswaran称,与窃取不同,数据被修改无法靠披露解决,必须精确识别并回滚,因此Veeam把数据侧的恢复能力作为管控智能体行为的抓手。
For two decades, security and data resilience have been neighbors who share a fence but rarely a budget. Security kept bad actors out, while resilience brought the business back when they got in. Agentic artificial intelligence is tearing down that fence, yet most organizations haven’t noticed.
Last year, I wrote that Veeam Software Group GmbH’s acquisition of Securiti AI positioned it as the industry’s first AI resiliency company. At VeeamON 2026 in May, the company foreshadowed what that would look like.
At its recent VeeamON Global Launch virtual event, Veeam announced a product: Veeam Intelligent ResOps, or iResOps, with Microsoft 365 as the first generally available workload. Whether you call it AI resiliency or resilience operations, the idea is the same. When software agents act on data at machine speed, you can’t secure what you can’t recover, and you can’t recover what you don’t understand.
Assume failure, assume breach, assume drift
Chief Executive Anand Eswaran (pictured) opened with an example that should make every chief information security officer squirm a little. A company in Spain recently told its regulator that an AI agent, acting largely on its own, breached it by finding a flaw in a live application and modifying personal data and billing records. Eswaran framed the 72-hour disclosure requirement as an engineering problem. “Somebody has to answer three questions: Which records did it change? What did it change them to? And what were they before?”
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