Webinar Description
Key Takeaways
- Commvault Cloud 2026 Platform Release introduces version 11.44 LTS with unified cyber resilience capabilities
- New AI-driven recovery workflows powered by Arlie, Commvault’s generative AI assistant
- Cleanroom Recovery automation and runbook enhancements for validated recovery processes
- Expanded protection for modern workloads including vector databases, DevOps platforms and identity providers
- Designed for IT leaders, cybersecurity professionals and disaster recovery managers in mid-to-large enterprises
Introduction
The Commvault Cloud 2026 Platform Release webinar presents the latest iteration of Commvault’s enterprise data protection platform, version 11.44 LTS, to IT and cybersecurity professionals responsible for organisational resilience. Centred on the theme of unifying cyber resilience for the AI era, the session addresses how enterprises can consolidate their recovery operations, integrate artificial intelligence into threat response workflows, and maintain business continuity amid an increasingly hostile threat landscape. With ransomware attacks growing more sophisticated and recovery time objectives becoming more demanding, the timing reflects broader industry pressure to modernise legacy backup and disaster recovery approaches.
About This Event
This virtual webinar is hosted by Commvault and led by the company’s product marketing and management executives. The session takes a technical and educational approach, walking attendees through the platform’s new capabilities rather than offering a high-level strategic overview. The format suits practitioners who need to understand specific feature implementations and how they map to operational requirements within their own environments.
The release designation of 11.44 LTS indicates a long-term support version, which typically signals stability commitments and extended maintenance windows that enterprise customers require for production deployments. Organisations evaluating data protection platforms often prioritise LTS releases to minimise upgrade frequency while maintaining access to security patches and critical fixes.
AI-Enabled Recovery and the Role of Arlie
A significant portion of the platform release focuses on artificial intelligence integration, particularly through Arlie, Commvault’s generative AI assistant. The assistant is designed to support recovery workflows by helping administrators navigate complex restoration scenarios, interpret threat intelligence, and automate decision-making during incident response.
The application of generative AI to data protection represents an emerging trend across the enterprise software landscape. Traditional backup and recovery solutions have long incorporated automation, but the introduction of conversational AI interfaces and intelligent recommendations marks a shift toward more adaptive systems. For organisations managing thousands of workloads across hybrid environments, AI-assisted operations can reduce the cognitive load on recovery teams during high-pressure incidents when speed and accuracy are critical.
The webinar covers how Arlie integrates with threat scanning, synthetic recovery testing, and threat hunting capabilities. Synthetic recovery allows organisations to validate their backup integrity by performing test restorations without affecting production systems, while threat hunting within backup data can identify dormant malware or indicators of compromise that may have been captured in historical snapshots.
Cleanroom Recovery and Validated Restoration
Cleanroom Recovery represents an approach to disaster recovery where systems are restored into isolated environments free from potential contamination. This methodology has gained prominence as organisations recognise that restoring compromised backups into production can reintroduce the very threats they are attempting to remediate.
The platform release introduces enhanced automation and runbook capabilities for Cleanroom Recovery scenarios. Runbooks codify the sequence of recovery steps, dependencies, and validation checks required to bring systems back online in a controlled manner. By automating these processes, organisations can reduce recovery time while ensuring consistency across different incident types.
Active Directory recovery receives particular attention in this release. As the identity backbone for most enterprise Windows environments, Active Directory presents unique recovery challenges. A compromised or unavailable directory service can prevent users from authenticating, applications from functioning, and administrators from accessing the systems needed to perform recovery. Validating Active Directory restoration readiness has become a priority for organisations developing comprehensive cyber resilience strategies.
Data Risk Management and Governance
Beyond recovery operations, the platform release addresses data security through discovery, classification, and governance capabilities. These features help organisations understand what data they hold, where sensitive information resides, and how it should be protected according to regulatory requirements and internal policies.
Data classification has become increasingly important as privacy regulations proliferate globally. Organisations subject to frameworks such as GDPR, CCPA, or industry-specific requirements must demonstrate awareness of their data holdings and implement appropriate controls. Integrating classification capabilities within the data protection platform allows organisations to apply consistent policies across backup, archival, and recovery operations.
Protection for Modern and Cloud-Native Workloads
Enterprise IT environments have evolved considerably beyond traditional virtualised infrastructure. The platform release expands protection to cover modern workload types that many legacy backup solutions struggle to address effectively.
Vector databases, which store high-dimensional data representations used in machine learning and AI applications, represent a growing category requiring protection. As organisations deploy more AI-driven applications, the underlying data stores become critical assets that must be included in resilience planning.
DevOps platforms and identity providers also receive expanded coverage. These systems often fall into protection gaps because they operate outside traditional application boundaries or use specialised data formats. Identity providers in particular warrant attention given their role in authentication and access control across the enterprise.
Cloud-native protection and security integrations round out the platform’s expanded scope. As workloads distribute across multiple cloud providers and containerised environments, data protection must follow without creating operational silos or visibility gaps.
Who Should Attend
The webinar is designed for technical decision-makers and practitioners in mid-to-large enterprises. Roles likely to benefit include IT directors, cybersecurity managers, data protection officers, cloud architects, and disaster recovery managers. Professionals responsible for business continuity planning, data governance, and risk management will find the content relevant to their operational concerns.
Existing Commvault customers evaluating an upgrade path to version 11.44 LTS will gain insight into new capabilities and migration considerations. Organisations currently assessing data protection platforms will find the session useful for understanding how Commvault positions its technology against contemporary cyber resilience requirements.
Industry Context
The enterprise data protection market has undergone significant transformation as cyber threats have evolved from operational nuisances to existential business risks. Ransomware incidents now routinely result in extended outages, regulatory penalties, and reputational damage that can affect organisations for years. This shift has elevated backup and recovery from a compliance checkbox to a board-level concern.
The integration of artificial intelligence into data protection platforms reflects broader enterprise software trends, but also responds to practical challenges. Recovery operations during active incidents require rapid decision-making under pressure, often by teams that may not have rehearsed every possible scenario. AI assistance can help bridge knowledge gaps and accelerate response times when they matter most.
Commvault’s focus on unifying cyber resilience capabilities acknowledges that many organisations operate fragmented toolsets for backup, disaster recovery, threat detection, and incident response. Consolidation can reduce complexity, improve visibility, and eliminate the integration challenges that often slow recovery efforts.