Leverage Generative AI for mainframe to synthesize vast volumes of binary logs and audit records into actionable insights.

By implementing AI-powered SMF Data Analysis, organizations can instantly interpret complex system behaviors, turning overwhelming data streams into strategic assets through deep Generative AI Integration for Mainframe Data.

support DBAs by rapidly diagnosing and resolving database issues as they occur, providing clear, actionable insights during performance degradation, outages, or anomalous behavior.

By automating deep log analysis, query tracing, and root-cause identification in real time, it shortens incident response cycles and reduces the operational burden during high-pressure situations.

By integrating Generative AI with mainframe data and tools, organizations can bring intelligence and automation into their security operations.

From proactively checking for vulnerabilities to analyzing audit records and verifying compliance, Geniez AI transforms traditional, manual security processes into fast, accurate, and explainable AI-driven workflows.

Strengthen capacity planning by analyzing historical utilization patterns, growth trends, and workload characteristics to inform data-backed scaling decisions.

By surfacing bottlenecks, forecasting resource saturation points, and modeling the impact of demand changes, it reduces guesswork and enables more accurate infrastructure investment and allocation planning. With the ability to analyze large volumes of historical and real-time data in seconds, GenAI delivers near-instant capacity insights that would take hours or days to assemble manually using traditional reporting and spreadsheet-based methods.