Instantly Uncover Data Threats with AI-Powered Anomaly Detection

Instantly See and Stop Data Threats with AI-Powered Resilience

In every modern enterprise, data moves constantly. Files are created, modified, and accessed across applications, systems, and services every second. Within this flow, a single anomaly can mark the beginning of a ransomware attack, insider misuse, or infrastructure failure. Your data is no longer passive. It’s a living system, now essential for modern detection that has become the frontline of defense.

Arctera InfoScale introduces a new class of protection with AI-powered anomaly detection, built on a foundation of full-stack, context-aware intelligence. Rather than focusing on a single layer as with storage or backups, InfoScale understands how applications, data, storage, and infrastructure behave together. This depth of visibility enables it to detect the earliest signs of abnormal activity and act before downtime begins.

Traditional monitoring tools rely on logs or backup verification to detect issues long after the fact. InfoScale takes a fundamentally different approach by embedding AI directly into the infrastructure itself. It continuously learns the rhythm of your environment, the normal cadence of reads, writes, and access patterns across systems, so it can recognize the instant something diverges from baseline. A sudden surge in encrypted writes, a dormant process touching critical directories, or a spike in IOPS in an unexpected cluster are all immediately surfaced as anomalies. When these deviations occur, InfoScale already understands the full context like which application is affected, what data integrity is at risk, and which policy-based actions can contain the issue.

The anomaly detection engine combines three critical capabilities: Real-time behavioral analysis, adaptive AI learning, and integrated response orchestration. InfoScale continuously monitors file system and I/O activity across all workloads, from traditional enterprise applications to AI-driven pipelines, detecting anomalies in real time before they spread. Machine learning models automatically refine behavioral baselines as your environment evolves, reducing false positives and ensuring security teams focus only on genuine threats. When a validated anomaly occurs, InfoScale can automatically isolate affected volumes or create an immutable snapshot, preserving a clean recovery point for administrators to restore from.

Recovery itself remains a deliberate, customer-driven action, by design. Administrators define how often immutable recovery points are created and manually initiate recovery when necessary. This ensures control, auditability, and trust in the recovery process while keeping the system’s anomaly detection and isolation actions independent from any existing HA or DR configurations. Current integrations with replication technologies, such as VVR, are under evaluation for future qualification, as Arctera continues to expand the automation footprint of InfoScale’s AI engine.

The result is resilience with awareness a closed-loop system that can see, interpret, and act faster than any human operator. Security teams gain the visibility they need to stop ransomware before it spreads. Operations teams gain the confidence to maintain uptime even during active incidents. Compliance and audit functions benefit from immutable, traceable recovery points that preserve evidence and data integrity. And the organization as a whole reduces downtime, recovery times, and operational noise across hybrid and multi-cloud environments.

This milestone in InfoScale’s AI resilience vision transitions from reactive response to proactive, self-healing operations. Looking ahead, upcoming releases will introduce predictive fault analysis. Enabling AI to not only detect issues but initiate healing actions automatically. Over time, this evolution will deliver true autonomous resilience infrastructure that senses, learns, and repairs itself before disruption begins.

Today, InfoScale gives you the intelligence to see data threats in real time, contain them immediately, and respond with confidence. Tomorrow, it will give your infrastructure the ability to do it for you.

We believe resilience begins before recovery. That means seeing problems before they escalate, isolating issues before they spread, and recovering with faster confidence during the unknown.

AI-powered anomaly detection in InfoScale gives organizations a smarter foundation to:

• Strengthen cyber resilience by catching stealthy attacks early.
• Improve operational uptime through predictive infrastructure insights.
• Reduce mean-time-to-detect (MTTD) and mean-time-to-recover (MTTR) with intelligent context.
• Build trust in data, even when under active threat.

If your business depends on data for operations, compliance, or customer trust, now is the time to experience the difference of AI-powered resilience. We’re helping enterprises see, understand, and defend the very foundation of their digital operations. Request a demo to see how Arctera InfoScale transforms your data and applications from passive assets into an active defense for your digital operations.

Learn more about InfoScale’s AI-powered anomaly detection. Let’s make your defense as smart and secure as the data it holds.