Complex, manual migration processes create monitoring blind spots, leaving your organization vulnerable during transition. The time-intensive nature of traditional SIEM modernization means delayed access to critical security insights when you need them most.
Translating QRadar's data ingestion rates to Splunk licensing requirements is error-prone and time-consuming. Miscalculations lead to either over-provisioning (wasted budget) or under-provisioning (performance issues and unexpected costs).
Without intelligent use case mapping, teams struggle to prioritize which security rules to migrate first. Critical alerts get lost among noise, and MITRE tactic inefficiencies persist in your new environment.
Traditional migration approaches require extensive manual effort for use case mapping, statistical analysis, and configuration—increasing the risk of errors and extending project timelines.
QsensAI is a specialized Splunk App developed by bitsIO, a trusted global Splunk partner, designed to eliminate migration complexity through AI-driven automation and expert-guided implementation.
Automatically prioritize migration based on alert severity, frequency, and business impact—ensuring critical security controls are deployed first.
Complete assessment and insights delivered in just 2-4 hours of execution time, with actionable recommendations within days.
Comprehensive assessment of your QRadar environment, including daily volume, triggered alert counts, log source types, and active user metrics.
Accurate license forecasting and resource allocation prevent overspending while ensuring adequate capacity for your security operations.
Industry-specific threat intelligence recommendations aligned with the MITRE ATT&CK framework for optimized detection coverage.
Built as a native Splunk App, QsensAI integrates directly into your environment without requiring complex infrastructure changes.
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QsensAI is a Splunk-native app from bitsIO that automates migration from IBM QRadar to Splunk. It uses AI to map use cases, estimate licensing, prioritize alerts by severity, and reduce manual effort across the SIEM modernization project.
Organizations move from QRadar to Splunk for better scale, broader app ecosystem, faster threat detection workflows, and tighter integration with Splunk SOAR and Observability Cloud. The challenge is migrating without losing security visibility or correlation logic, which QsensAI is designed to address.
QsensAI reduces migrations that usually take weeks to days by automating use case mapping, statistical analysis, and license calculation. Exact timing depends on QRadar environment size, number of detection rules, and integration scope.
QsensAI analyzes the daily ingest rate of your QRadar environment and uses that to calculate accurate Splunk license estimates. This avoids over-provisioning (wasted budget) and under-provisioning (performance issues and unexpected costs), which both happen with manual estimation.
QsensAI maps existing QRadar correlation rules and use cases to Splunk equivalents, then prioritizes them by severity and MITRE tactic so the most critical detections go live first. Lower-priority rules are migrated in later phases or retired if they no longer match the threat model.
No. QsensAI accelerates the technical migration, but most projects still benefit from Splunk professional services for environment design, tuning, integrations, and SOC enablement. bitsIO delivers QsensAI and the surrounding consulting work as a packaged engagement.
Yes. Some organizations run QRadar and Splunk side by side during a transition. QsensAI can support phased migrations where specific use cases move first and the rest follow on a schedule that matches business priorities.
QsensAI maps QRadar use cases, rules, building blocks, reference sets, and log source assignments to Splunk equivalents. It also analyzes the daily event ingest rate to size Splunk licensing accurately. Custom or non-standard artifacts are reviewed during the assessment and migrated manually if needed.
Yes. Custom QRadar rules are reviewed and translated to Splunk searches, including correlation logic, thresholds, and notable event generation. QsensAI automates standard rule patterns and flags complex custom logic for analyst review so accuracy is preserved.
No. QsensAI migrates detection logic and use cases rather than moving raw event data, so historical QRadar logs typically remain in QRadar or in archive while new data flows to Splunk. Customers that need historical data in Splunk can plan a separate data migration alongside the QsensAI engagement.
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