Contextual Recovery restores clean data and system states using intelligent threat insights. Protect your enterprise and eliminate ransomware reinfection today.
Contextual Recovery is an advanced data restoration strategy that leverages operational metadata, threat intelligence, and system dependencies to safely recover clean data and workloads. Unlike traditional disaster recovery, it identifies clean restore points, isolates safe system states, and prevents malware reinfection during large-scale cyber incident restoration.
Targeted Clean Restoration: Eliminates the risk of restoring latent malware by analyzing data anomalies prior to system recovery.
Metadata-Driven Intelligence: Uses operational metadata and threat context to pinpoint the precise state of uncorrupted files.
Accelerated Cyber Resilience: Reduces overall Recovery Time Objectives (RTOs) by eliminating guess-and-check recovery attempts.
Minimized Blast Radius: Isolates clean workloads to avoid re-contaminating production environments during disaster recovery.
Standard disaster recovery focuses on speed—restoring systems to the latest point in time. However, modern ransomware threats involve dwell times where malicious code resides undetected inside backups for weeks. Traditional restoration risks reintroducing the threat back into production, causing cyclical downtime.
Contextual Recovery solves this challenge by shifting the focus from speed alone to validation and context. By evaluating file modifications, snapshot signatures, and system dependencies, IT and security teams gain complete visibility into what data was impacted, when the breach occurred, and which backup image is truly safe.
Uncompromised Business Continuity: Ensures recovery efforts yield functional, malware-free production environments on the first attempt.
Preservation of Customer Trust: Prevents repeated outages and public security lapses caused by secondary infection loops.
Drastic Cost Reduction: Avoids expensive forensic delays and minimizes the massive financial impact of prolonged system downtime.
Regulatory Compliance: Provides detailed audit trails demonstrating that restored environments are clean and compliant with industry standards.
Continuous monitoring evaluates file modification rates, entropy spikes, and structural changes across backup snapshots. This baseline metadata allows security engines to distinguish between normal business operations and malicious encryption routines.
Once an anomaly or threat is detected, the system maps the exact scope of affected files, systems, and user accounts. Mapping pinpoints how far the attack spread and isolates safe workloads from compromised assets.
By cross-referencing threat intelligence feeds with snapshot history, Contextual Recovery calculates the precise "last known good state." This eliminates the guesswork involved in selecting an RPO, ensuring time-based recovery lands prior to initial infection.
Before pushing data back into the production network, workloads undergo automated testing within an isolated sandbox environment. Threat scanners verify system health and file integrity without exposing production systems to risk.
Modern enterprises manage fragmented workloads spanning on-premises data centers, multi-cloud platforms, and SaaS tools like Microsoft 365. This fragmentation creates massive blind spots during a cyber incident. Security teams struggle to determine which backup is uncorrupted, leading to prolonged downtime, failed restores, and costly manual forensic efforts.
The Druva Resilience Cloud addresses these challenges through a centralized, cloud-native architecture that combines threat hunting, data quarantine, and automated recovery into a single interface.
Air-Gapped & Immutable Architecture: Backups stored within the Druva Cloud Platform are isolated from production networks, ensuring attackers cannot compromise or encrypt restore points.
AI-Driven Threat Hunting & Anomaly Detection: Druva automatically analyzes snapshot entropy and file activity to pinpoint the precise timing of an infection, identifying the safest clean point for recovery.
Quarantine and Accelerated Restore: Suspected malware files are quarantined across all snapshots with a single click, preventing re-infection during high-speed automated restoration.
Single Source of Truth: Centralized console management provides cross-estate visibility across endpoints, SaaS applications, and cloud resources, dramatically lowering TCO.
Ready to see how intelligent, clean restoration protects your enterprise? Take Product Tour or Book A Demo today.
Traditional disaster recovery focuses on restoring data to the most recent backup point as quickly as possible. Contextual Recovery incorporates threat analytics, system dependencies, and anomaly detection to ensure the chosen backup is completely free of malware before performing the restore.
Ransomware attackers often linger in systems before detonating, causing malicious payloads to enter standard backups. Contextual Recovery isolates the exact moment of infection, allowing teams to restore uncorrupted data without re-introducing dormant ransomware into production networks.
Metadata provides details about file creation, access patterns, structural entropy, and modification history. Analyzing metadata patterns allows automated security tools to detect hidden anomalies and identify safe restore points without scanning every byte of data manually.
Yes. By eliminating trial-and-error restore attempts and automating the identification of clean data, Contextual Recovery eliminates manual forensic guesswork, significantly accelerating Recovery Time Objectives (RTOs).
Contextual Recovery interfaces with SIEM, XDR, and Incident Response tools, sharing data context across security teams. This integration allows incident responders to trigger clean recovery workflows directly from security alerts.