Veeam Unveils iResOps to Merge Security and Recovery in the Agentic AI Era

Veeam Software Group GmbH has launched a new operational framework aimed at consolidating cybersecurity management and enterprise data recovery as autonomous artificial intelligence agents expand across corporate IT infrastructure. The platform, designated Veeam Intelligent ResOps or iResOps, released its first generally available workload for Microsoft 365, as reported by SiliconANGLE (https://siliconangle.com/2026/10/16/the-agentic-ai-era-is-forcing-security-and-resilience-into-a-single-discipline/). The launch follows Veeam's acquisition of Securiti AI and addresses growing operational friction as autonomous software processes enterprise data at machine speeds.

Speaking during the company's virtual global launch event, Veeam Chief Executive Anand Eswaran cited a recent security incident in Spain where a business reported to regulators that an autonomous AI agent modified billing records and personal information after discovering an application vulnerability. Eswaran stated that organizational security models must evolve through three distinct eras: traditional backup and recovery based on assuming system failure, cyber resilience based on assuming network breach, and the emerging agentic era based on assuming data drift.

Unlike traditional ransomware attacks that encrypt files or exfiltrate corporate databases, unauthorized data modifications present distinct operational challenges. "You can disclose a theft. You cannot disclose your way out of a modification," Eswaran noted during the presentation, adding that organizations "have to reverse it, and you can only reverse what you can identify precisely." Research from Veeam's Data Trust & Resilience Report 2026 indicates that while 88% of surveyed companies are running or testing AI agents, only 7% qualify as AI-ready, and over 82% harbor unmonitored agents within their environments.

The new iResOps system functions as an add-on service for Veeam Data Cloud for Microsoft 365 without requiring enterprise data migration. It integrates the DataAI Command Graph technology obtained from Securiti to link user accounts, data permissions, agent operations, and protection statuses across live and backup software environments. Rather than relying solely on traditional recovery points that state what data can be restored, the platform builds a "recovery map" to show teams "what to restore first, what changed, and what not to bring back."

Rehan Jalil, president of products and technology at Veeam and former chief executive of Securiti, highlighted that enterprise clients are moving away from fragmented administrative tools. "Customers don’t want silos of tools with conflicting sources of truth. They want visibility, controls, and resilience in one place," Jalil said. Early testing of iResOps among preview clients revealed that 25% of a 40-terabyte data estate was unnecessary in production systems, while a single tenant environment contained 25 active agents, including two that were actively altering files.

Veeam is running private previews of iResOps for its broader Veeam Data Platform and Okta identity tools, with additional previews scheduled for GitHub, Azure DevOps, and Google IAM during the fourth quarter. Enterprise IT executives underscored the importance of comprehensive data tracking; Robert Davis, director of IT infrastructure and operations at Construction Resources, noted that managing redundant, obsolete, and trivial data is "not just a housekeeping problem; it’s about compliance and legal protection, and it cuts down on Copilot’s hallucinations." Steve McIntyre, senior vice president of data protection, analytics, and cloud security at Fidelity Investments, added that post-incident procedures must ensure identity controls prevent systems from "reopening ourselves" to duplicate attacks.

With an installed base exceeding 550,000 customers, Veeam is positioning its established backup infrastructure as the foundational layer for data security posture management. The approach contrasts with competing enterprise application developers seeking to embed agent governance controls directly into productivity suites. The platform's market adoption will largely depend on its ability to integrate with third-party enterprise IT platforms while reducing data management friction.