Thursday, March 12, 2026
Cohesity and ServiceNow have announced a strategic partnership aimed at improving the resilience and reliability of enterprise AI agents. Through this collaboration, both companies will deliver real-time recovery capabilities that help organizations protect, manage, and restore data used by autonomous AI agents.
As enterprises rapidly move beyond AI experimentation and begin deploying intelligent agents across core business operations, ensuring system reliability has become increasingly critical. AI agents now perform complex tasks such as managing workflows, resolving IT incidents, and updating operational records across enterprise systems. However, these capabilities also introduce new risks. For example, compromised agents, corrupted data, or malicious prompt injections can disrupt operations if organizations lack robust recovery mechanisms.
To address this growing challenge, Cohesity and ServiceNow are introducing a solution that combines governance, automation, and data recovery within a unified ecosystem. The partnership enables enterprises to build and orchestrate AI agents while ensuring that the underlying data systems remain protected and recoverable.
“Organizations deploying AI agents can’t afford to treat resilience as an afterthought,” said Sanjay Poonen, CEO and president of Cohesity. “Cohesity brings the same immutable, point-in-time recovery that enterprises rely on for critical data, now applied to the AI agents driving their operations. Together with ServiceNow, we’re making AI agents trustworthy by design.”
Through the integration, organizations can use the ServiceNow AI Platform to build, register, and orchestrate AI agents across their enterprise environment. The platform provides the governance, visibility, and security controls required for mission-critical operations. Meanwhile, Cohesity safeguards the data these agents access by applying advanced backup and recovery technologies.
Specifically, the Cohesity Data Cloud protects enterprise data environments and enables organizations to restore systems quickly to a verified point-in-time state. Consequently, if an AI agent unintentionally modifies or deletes data due to a configuration error or security breach, enterprises can rapidly recover affected systems without rebuilding workflows from scratch.
“Trust is the ultimate human currency—in the era of AI it is built through governance across agentic workflows. I'm excited to team up with Cohesity to raise the bar for responsible AI at scale," said Bill McDermott, ServiceNow chairman and CEO. "The smarter AI agents become, the more they require a control tower to orchestrate their work across systems with audit-grade proof at every step. Cohesity adds a critical recovery and resilience layer that, combined with the ServiceNow AI Platform, makes agentic AI trustworthy by design."
As AI adoption accelerates, enterprises increasingly rely on autonomous agents to automate time-consuming processes and manage business operations. These agents often interact directly with enterprise databases, update records, and trigger system actions. Therefore, organizations must ensure that they can recover quickly when disruptions occur.
For instance, unexpected agent behavior caused by corrupted data or malicious instructions can result in widespread operational impact. In such cases, simply disabling the agent does not fully resolve the issue. Instead, companies must restore both the agent and the systems it interacts with to a trusted operational state.
By combining the ServiceNow AI Platform with the Cohesity Data Cloud, the partnership delivers end-to-end resilience throughout the AI agent lifecycle. Organizations can deploy AI agents confidently, knowing that their data infrastructure remains protected and recoverable at all times.
Ultimately, the collaboration between Cohesity and ServiceNow highlights a broader shift toward responsible AI deployment. As AI agents assume more operational responsibilities, resilience and governance are becoming essential requirements. With built-in recovery mechanisms and transparent workflows, enterprises can deploy AI agents at scale while maintaining trust, compliance, and operational stability.
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