IBC 2026: Quantum Introduces Autonomous Data Management, Dramatically Reducing Storage Costs While Increasing Efficiency and Availability

Quantum Corp. today announced the release of Quantum Autonomous Data Management (ADM), a new solution designed to enable organizations to better understand their data, reduce storage costs, lower risk, and improve operational efficiency.

As organizations manage rapidly growing data volumes, ranging from traditional applications to new AI, analytics, and digital transformation initiatives, they face unprecedented increasing storage costs and mounting pressure on infrastructure investments. AI workloads are driving organizations to retain and protect more data for longer periods of time, both to improve future models and support governance and compliance requirements. Yet many organizations still lack visibility into what data they have, how it is being used, how often it is accessed, what risks it creates, and what it costs to store and protect. This may result in unnecessary spending, increased cyber exposure, operational complexity, and growing compliance challenges.

Quantum Autonomous Data Management closes the gap between understanding data and taking action on it. By combining data insights with intelligent automation, ADM enables customers to identify capacity waste, reduce risk, and continuously optimize data placement across all digital environments. The result is greater visibility, improved efficiency, and reduced costs across both traditional business workloads and emerging AI initiatives.

Customers are looking for ways to navigate budget restraints, reduce risk, make better use of their data, and manage the growing storage demands created by AI and analytics, said Hugues Meyrath, Chief Executive Officer of Quantum. Quantum Autonomous Data Management gives them the visibility and intelligent automation they need to understand what data exists, determine where it belongs, and continuously optimize how it is managed. As organizations collect, retain, and analyze more data than ever before, ensuring the right data resides on the right storage tier creates meaningful advantages in cost, security, operational efficiency, and AI readiness.

Assess, Automate, Optimize

Quantum Autonomous Data Management begins with assessing and analyzing data across the enterprise. This gives organizations visibility into inactive, duplicated, outdated, orphaned, and risk-sensitive data, enabling informed decisions about what should remain on primary storage, what can be archived or deleted, and what requires additional protection or governance. These insights help drive greater storage efficiency, reclaim expensive primary storage capacity, reduce infrastructure and backup costs, lower power consumption, and improve operational control. By identifying which data delivers business value and which data creates unnecessary cost, organizations can better prepare their data environments for AI, analytics, and future innovation.

Once configured, Quantum Autonomous Data Management is designed to continuously operate in the background, applying intelligent automation to optimize data placement and management according to business, compliance, security, and retention requirements. This ongoing optimization framework reduces costs, reclaims valuable capacity, strengthens cyber resilience, and maximizes infrastructure investments over time.

Organizations using Quantum Autonomous Data Management can:

Gain visibility into data across the enterprise

More efficiently manage data resources to reduce costs, increase primary storage capacity, and improve availability

Reduce storage, backup, and infrastructure costs

Strengthen cyber resilience by reducing exposure to sensitive and inactive data

Improve governance and compliance readiness through greater visibility and control over data

Support AI and analytics initiatives by properly managing data resources optimized for accessibility, cost, security, and scalability

From Insight to Action

Quantum Autonomous Data Management delivers a clearer understanding of an organization's data estate, including what data exists, how it is being used, and where potential cost, risk, and compliance challenges may exist. This provides the critical visibility organizations need to make informed decisions about their data. The solution then turns those insights into action by providing control over inactive, sensitive, or risk-flagged data.

Quantum ADM helps organizations reduce exposure, optimize storage utilization, and support more efficient long-term data management strategies through automated policy enforcement. Organizations can understand what data they have, identify what creates cost or risk, and continuously place the right data on the right storage tier based on how it is used, how often it is accessed, and what it costs to store and protect.

Explosive data growth, combined with persistent storage shortages, and unprecedented cost increases, have exposed a serious data management problem that many IT organizations have largely ignored, said Marc Staimer, President of Dragon Slayer Consulting. Quantum Autonomous Data Management, particularly when combined with solutions such as Quantum ActiveScale Cold Storage, can conveniently and effectively solve this problem while radically reducing expensive primary storage costs.

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