// bitsIO’s Partners

Splunk gives manufacturers a single platform for IT, OT, and security data, unifying signals from PLCs, SCADA systems, MES, and IT systems. This helps reduce unplanned downtime, surface quality and process issues earlier, and protect critical OT infrastructure from cyber threats.

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Published bitsIO results for manufacturing customers include up to 60% downtime reduction, around 8 hours saved per week through automation, and 99.9% uptime targets. Actual outcomes depend on the maturity of the existing monitoring stack, OT data accessibility, and process discipline.

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bitsIO uses Splunk as the unifying layer for OT data from PLCs, SCADA, MES, and ERPs and combines it with IT logs and security events. Engineers and SOC analysts work from a shared view, reducing investigation time and aligning security with operational outcomes.

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In manufacturing, datasensAI surfaces underused OT-adjacent and IT data, recommends dashboards and use cases that reduce manual reporting, and justifies expansion of the Splunk footprint with measurable cost and time savings.

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Yes. By combining real-time monitoring of OT signals with predictive analytics in Splunk ITSI and raasAI, manufacturers can detect early indicators of failure on critical equipment and act before lines stop. This is the typical mechanism behind downtime reductions.

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Splunk supports compliance with frameworks such as IEC 62443, NIST 800-82, and customer-specific audit standards. bitsIO designs data retention, access controls, and reporting that match the standards relevant to each sector (automotive, food and beverage, pharma, and others).

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Yes. Splunk does not require replacing existing OT systems. bitsIO works with existing PLCs, SCADA, and historians and routes their telemetry into Splunk through supported connectors, which is especially helpful for legacy assets that cannot be patched or replaced quickly.

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Splunk ingests PLC and SCADA data through supported connectors, historians, and protocol translators such as MQTT, OPC UA, and Modbus. Once ingested, the data can be correlated with IT logs and security events to give a unified view of plant operations.

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Yes. Splunk can ingest data from MES platforms (quality, work-in-process, production data) and ERP systems (orders, inventory, supply chain), then correlate this with plant-floor signals. This is valuable for understanding why specific production issues occur.

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Splunk supports predictive maintenance by ingesting sensor and equipment telemetry, applying anomaly detection, and surfacing early indicators of failure. Combined with Splunk ITSI and raasAI, this can shift maintenance from reactive or calendar-based to condition-based.

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