The enterprise world stands at the threshold of a revolutionary inflection point: AI is reshaping how organizations operate, how data flows, and how critical decisions unfold. AI adoption is accelerating faster than any previous technology in history. Big tech alone is investing over $400 billion in AI infrastructure this year, fueling trillions in expected economic value. AI is no longer a research experiment; it forms the core of modern business.
However, this rapid adoption presents a critical challenge: ensuring the enterprise maintains pace and stability in a high-speed, high-stakes environment. To effectively scale AI investments, a new approach to digital fortitude—AIresilience—is essential.
AI Introduces Unprecedented Challenges
The widespread integration of AI creates a complex landscape fraught with new vulnerabilities, pressuring CIOs, CISOs, and practitioners alike.
First, AI introduces massive challenges of scale. Generative AI generates an unprecedented volume and variety of data that requires careful management and protection. This data estate is inherently fragmented, distributed, and siloed, spanning clouds, SaaS applications, data lakes, DevOps pipelines, and endpoints. Furthermore, data moves constantly across regions and ephemeral infrastructure, requiring dynamic protection.
Second, AI introduces highly sophisticated threat vectors. Malicious actors use AI tools to target and poison models, assume identities, and compromise supply chains. The rise of autonomous, non-human identities and AI agents making real-time decisions dramatically expands the attack surface. Identity compromise now accounts for nearly 80% of breaches, establishing identity as the new security perimeter. By 2027, Gartner projects that over 70% of cloud breaches will stem from mismanaged machine identities, highlighting the severity of this shift.
Finally, AI complexity creates fragility. When data is inconsistent, incomplete, or compromised, AI makes mistakes, often dangerously wrong ones, putting the entire business at risk. Leaders face intense pressure to adopt AI rapidly, yet they must often manage these advanced capabilities using legacy systems and fragmented tools. If traditional security and identity processes fail to keep pace with AI, they expose the business to even greater risk.
AI Resilience
Previously, Commvault elevated data protection to cyber resilience, an operational state that quickly became the industry standard. Now, recognizing AI as the defining challenge for modern enterprises, AI resilience raises that bar.
Achieving AI resilience requires organizations to broaden their operational focus beyond securing only infrastructure. AI resilience demands three coordinated efforts: continuously securing data at its source and monitoring for any anomalies; controlling the identities of all individuals and autonomous devices that access and use that data autonomously; and predictably recovering data at massive scale without corruption.
Ultimately, to deliver resilience in the age of AI, organizations must successfully bring security, identity, and recovery together.
The Active Discipline: Resilience Operations (ResOps)
Traditional, process-driven approaches to resilience fail to keep pace with the speed and scale of AI-driven systems. Teams responsible for security, identity, and recovery often operate in silos, using their own tools and policies.
Commvault responded by re-envisioning resilience for AI, introducing a new operational approach called ResOps, or Resilience Operations. ResOps is not a simple tool or point solution; it’s the next-generation operating model. ResOps transforms resilience into an active discipline, enabling management across complex, emerging AI environments.
Commvault conceptualizes ResOps as a continuous automated loop that reinforces resilience across data security, identity, and recovery. A strong ResOps practice involves:
- Understanding Data: Determining data sensitivity and real-time access policies, including LLM prompting protection.
- Continuous Detection: Automatically scanning for and detecting potential issues, anomalies, and cyber threats to minimize the impact of compromised identity systems and data.
- Intelligent Recovery: Using automation to recover critical data confidently and intelligently, re-establish access to key systems, and restore business operations.
ResOps ensures resilience becomes an active, continuous, operational posture, creating a single source of clean data for the AI-driven enterprise.
Commvault Cloud Unity: The Platform for AI Resilience
To empower organizations to adopt this new operational model, Commvault announced Commvault Cloud Unity at Commvault Shift. Unity represents the most significant release in Commvault’s history, providing a cloud-native platform built to deliver the necessary scale, performance, and data security.
Commvault called the platform Unity because it unifies resilience across security, identity, and recovery. It unifies resilience across all workloads—from today’s production environments to tomorrow’s emerging AI workloads. Critically, it unifies resilience wherever data resides: across clouds, regions, data centers, and edge locations. This unification offers a generational leap, re-architecting resilience for the modern enterprise. Unity is the platform that delivers ResOps, eliminating the complexity caused by stitching together disparate point solutions.
Architectural Principles and Key Features
Commvault built Unity on three core architectural principles: unmatched scalability, secure by design, and Metallic AI at the core.
Unity features the Commvault Cloud Adaptive Fabric, an intelligence layer that automatically manages and scales the data plane across clouds. This cloud-native architecture scales compute, storage, and throughput dynamically based on workload behavior, ensuring customers only pay for resources when actively in use.
Inherently secure by design, Unity utilizes layered security zones separating the control, data, and storage planes, and encrypts data at the source, in transit, and at rest, ensuring recovery remains possible in the face of compromise.
The Metallic AI engine, the core of Unity’s intelligence engine, is a dynamic fabric that powers all machine learning and generative AI capabilities across the platform. Unity utilizes AI everywhere, transforming the user experience. For example, AI-powered discovery finds unprotected resources and automatically recommends and enforces the correct protection policies with a single click, replacing previously intensive manual processes. Furthermore, Unity introduces conversational resilience, allowing AI agents to operate through simple conversations without requiring a log-in to the user interface.
Unity’s features deliver powerful benefits across resilience pillars:
- Identity Resilience: Groundbreaking identity resilience tracks unauthorized changes in identity systems like Active Directory and Entra ID, allowing users to roll back unwanted changes with a single click.
- Cyber Resilience and Clean Recovery: Unity eliminates the historical compromise between the cleanest recovery and the most recent recovery.
- ThreatScan capabilities analyze backups using four independent signals—anomaly detection, encryption analytics, direct malware scanning, and intelligence from leading partners like CrowdStrike—to confirm data cleanliness before restoration.
- AI-enabled Synthetic Recovery Pro automatically curates a composite of the most recent and cleanest backup by surgically recovering data files with the least data loss, isolating the compromise.
- Enhanced Clean Room Recovery provides an automated, isolated environment for testing and validation, utilizing automated recovery runbooks to orchestrate complex, multi-tier recoveries.
- ResOps Orchestration: Intelligent automation facilitates agentic interactions, connecting SecOps, incident response, and cyber recovery operations through simple interfaces like Slack. For instance, a CrowdStrike alert can automatically trigger Commvault Cloud to provision an isolated cleanroom recovery, update a ServiceNow ticket, and notify the forensics team.
- Data Governance: Integration with Satori, a recent Commvault acquisition, provides visibility into data access and proactively protects AI data by inspecting and enforcing policies before sensitive information reaches an LLM or the model responds.
Why This Matters
The challenge of AI adoption is immense. Enterprises contend with fragmentation, exponentially amplified threats, and the impossible reality of managing critical, distributed data with legacy solutions. Businesses face an inevitable reality where both breaches and mistakes occur. Therefore, the central question for every leader becomes: How fast can you recover to maintain pace in this high-speed, high-stakes environment?
AI resilience and ResOps provide the necessary path forward. Resilience must transition from a passive afterthought to a continuous, active, and operational posture.
Commvault Cloud Unity delivers this transformation, integrating data security, cyber resilience, and identity protection into one intelligent fabric, providing control, confidence, and readiness for the modern AI era. Unity closes the critical gap between system compromise and clean recovery, ensuring that businesses restore trust, not just systems.
With Unity, Commvault is providing a vision, innovation, and experience at scale to make organizations resilient in the age of AI.
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