Commvault SHIFT 2025 is just around the corner. At this virtual global event, Commvault, the data-protection innovator, has launched Cloud Unity, a new unified control plane that brings protection, threat detection, and recovery together across every cloud and workload. Powered by Metallic AI, Cloud Unity introduces a smarter, AI-driven protection model that identifies risks faster and guides clean, reliable recovery: a clear evolution from traditional backup to true cyber resilience.
A major step forward in safeguarding cloud data and AI workloads… let’s take a closer look.
The New Data-Resilience Lifecycle
Commvault is promoting the concept of ResOps: an operational model that integrates data protection and cyber-resilience into a continuous lifecycle. 
It brings together four essential stages:
- Discover & Protect: Identify where data lives, classify it, and secure it across clouds and workloads.
- Detect: Use real-time analytics and AI to spot anomalies, threats, or suspicious behavior as they happen.
- Recover: Spin up “Cleanroom” environments to validate data integrity, rebuild application state, and ensure safe recovery paths.
- Restore: Bring trusted, verified data back into production only when it has been proven clean and consistent.
ResOps transforms resilience into a continuous process, rather than just a response to an incident.
What stands out to me in this model is that resilience is no longer just about restoring files but rebuilding an entire service, which is a complex mix of: application data, configurations, security and access policies, dependencies, and the operational state that ties everything together.
Protecting All Critical Data: From Enterprise Apps to AI Workloads
Commvault’s approach goes far beyond simple backup. It protects the full spectrum of organizational data across on-premises, cloud, and hybrid environments, ensuring business continuity, cyber-resilience, and regulatory compliance.
Traditional and SaaS Workloads
Organizations rely on a variety of tools to run their business: Office 365, Google Workspace, Salesforce, SharePoint, Microsoft Teams, Exchange, and other SaaS applications. Unifying all these sources under a single control plane enables consistent policies, auditing, and reporting across all enterprise data.
Cloud-Native and Multi-Cloud Workloads
In hybrid and multi-cloud architectures, providing protection for workloads running on AWS, Azure, GCP, and private clouds. It can snapshot VMs, protect Kubernetes workloads, and secure cloud-native applications.
AI and Machine Learning Workloads
Modern AI introduces a new attack surface: training datasets, model artifacts, embeddings, checkpoints, inference results, and associated metadata all become critical assets. Corruption, deletion, or malicious tampering can compromise not only the model’s accuracy but also the entire business processes. << Imagine how much damage an “infected” Agentic AI…>>
Unified Protection with AI-Driven Insights
Across all workloads, combining traditional protection with AI-driven anomaly detection and guided recovery
By covering enterprise, cloud, and AI data under a single framework, Commvault enables organizations to enforce ResOps principles: discover, detect, recover, and restore trusted data, regardless of the location. This unified approach is essential for modern organizations managing both everyday business applications and the complex AI systems powering innovation.
Summarizing, Commvault can protect the full spectrum of organizational data across on-premises, cloud, and hybrid environments, ensuring business continuity, cyber-resilience, and regulatory compliance.
With the announcement of Cloud Unity, Commvault introduces a single pane of glass that consolidates all data protection, threat detection, and recovery operations together. In fact, it allows organizations to manage enterprise applications, cloud-native workloads, and AI pipelines from a single consistent interface, simplifying operations while improving visibility, governance, and automated response.
Complementing the Unified Approach: HyperScale X, Flex, and Edge
To support this broad coverage, Commvault’s HyperScale X, Flex, and Edge platforms provide scalable, high-performance, and resilient infrastructure. HyperScale X enables scale-out hybrid cloud deployments, Flex supports performance-intensive and AI-driven workloads, and Edge delivers protection for remote and distributed sites. Together, they ensure that all data, from enterprise apps to AI workloads, can be reliably protected, recovered, and managed under Cloud Unity.
Metallic AI: Smarter, AI-Driven Protection
At the heart of Commvault’s AI-driven approach is Metallic AI, the intelligence engine powering Cloud Unity. It combines machine learning and automation not only to detect anomalies but also to identify emerging threats and guide recovery actions to reduce the “Time to Action”.
By continuously analyzing data access patterns, system behavior, and workload activity, Metallic AI helps organizations detect risks before they escalate, minimizing downtime and preventing data corruption.
An integral part of this system is Arlie, Commvault’s AI copilot, which provides conversational guidance for operations, troubleshooting, and recovery. Arlie allows teams to interact with their data protection environment in natural language, accelerating incident response and simplifying complex recovery workflows.
Metallic AI is also empowering ResOps principles, ensuring that discovery, detection, recovery, and restoration processes are intelligent, automated, and reliable.
By embedding AI at every stage of the data lifecycle, Commvault transforms protection from a reactive task into a proactive, intelligent, and resilient operation, giving organizations the confidence to operate in today’s hybrid cloud and AI-driven landscapes.
SHIFT 2025 has shown how Cloud Unity, HyperScale, and Metallic AI together redefine cyber-resilience across traditional, cloud, and AI workloads. I hope to put this solution to the test in the lab and explore firsthand how it can further simplify, protect, and unify the data lifecycle.