ServiceNow and Cohesity Partner to Deliver Real-Time Recovery for Enterprise AI Agents

ServiceNow and Cohesity partner to deliver governance, resilience, and real-time recovery for enterprise AI agents and their data

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ServiceNow and Cohesity Partner to Deliver Real-Time Recovery for Enterprise AI Agents
AI & Automation in CXSecurity, Privacy & ComplianceService Management & ConnectivityNews

Published: March 11, 2026

Francesca Roche

Francesca Roche

ServiceNow and Cohesity have announced a strategic partnership to deliver real-time agent recovery and resilience. 

By combining technologies, both companies will manage and protect autonomous AI agents and the data those agents use and modify. 

As enterprises increase their use of AI agents, this increases risk and requires organizations to find fast ways to restore both the agent and affected systems without manual rebuilds or extended downtime.

Bill McDermott, Chairman and CEO at ServiceNow, highlights that combining ServiceNow’s AI platform with Cohesity’s recovery tools creates trustworthy, well-governed AI agents by providing oversight, control, and resilience across their workflows. 

“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,” he said.  

“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.”

Why Autonomous AI Agents Introduce New Operational Risks

Autonomous AI agents can take actions inside enterprise systems without constant human approval, creating operational risks when it interacts unexpectedly. 

This can include unintended data corruption, modification, workflow failure, or even compromised agents. 

In one example. AI agents automate configuration tasks such as system adjustments or policy updates, which can occasionally result in incorrect system settings, propagated errors, or dependency breakage. 

When an AI agent performs multiple automated actions, that impact spreads across systems quickly, such as the creation of multiple systems, datasets, and automated actions executed in sequence. 

Manually identifying and reversing these changes can take hours or days to fix, increasing downtime, delays service recovery, and risks wider operational disruption for customers and internal teams. 

Integrating AI Governance with Data Recovery

ServiceNow and Cohesity’s partnership aims to bring real-time recovery and resilience for enterprise AI agents. 

The partnership will involve integrating ServiceNow’s AI Agent Control Tower to provide governance, visibility, security, and orchestration for AI agents across enterprise systems, helping organizations in building, registration, and management. 

This will be combined with Cohesity’s Data Cloud platform designed to protect data used by AI agents and enables point-in-time recovery to a verified baseline state if disruption occurs. 

This also includes data recovery in incidents of deletion or where an agent has malfunctioned, misconfigured, or compromised it. 

The integration will create a closed loop for AI agent operations and recovery, with AI agents being created and deployed in ServiceNow’s AI platform, its AI Control Tower monitors actions and governance policies as agents interacts with enterprise systems. 

Cohesity then protects the underlying data that those agents accessed, so that in the case of data corruption or unexpected behaviors, recovery is triggered, as the platform restores the affected systems and data to a verified point in time. 

As a result, enterprises do not need to rebuild their systems or manually restructure workflows, allowing organizations to quickly and safely undo damage caused by AI agents. 

By making enterprise AI agents trustworthy by design, this partnership aims to create an infrastructure layer that allows companies to deploy AI agents at scale without risking critical enterprise systems. 

Who are Cohesity?

Cohesity is an enterprise software company focusing on data security, backup, and cyber recovery, helping organizations protect and recover critical business data across cloud, data centers, and SaaS platforms. 

Sanjay Poonen, CEO and president of Cohesity, argues that organizations using AI agents must build resilience from the start to ensure AI-driven operations can be trusted and data can be restored quickly. 

“Organizations deploying AI agents can’t afford to treat resilience as an afterthought,” he said. 

“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.”

Building Customer Trust in AI-Driven Service Operations

By enabling AI agent resilience and data recovery, this creates reliable AI-driven customer services as support systems remain operational even if an AI agent fails. 

Furthermore, incorrect actions taken by AI agents can be quickly reversed, reducing service interruptions and long recovery times, improving consistency and reliability in customer interactions. 

This integration enables organizations to build customer trust in AI-driven interactions as more customers begin to rely on digital systems to manage their personal data, requests, and transactions. 

With organizations having the ability to trace an AI agent’s steps and restore systems where needed, this instills customer confidence in automated service channels, as well as creating trust for businesses feeling safer to deploy AI in customer workflows. 

By combining AI control and data recovery, this partnership creates a safety net for companies that want to expand AI usage in customer support, digital assistants and opertaional automation. 

By removing the risk barrier, organizations can begin to introduce more AI capabilities in service channels, customer journeys become faster and more automated, and risks to customer data and service continuity are reduced. 

For customer experience, this partnership integration means that AI-powered services can operate with stronger reliability, experience quicker recovery from errors, and create better protection for customer data, increases trust in automated customer interactions. 

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