Continuous Data Integrity Posture Management (cDIPM)
cDIPM: Real-Time Data Compliance
Continuous Data Integrity Posture Management (cDIPM) is a comprehensive operational framework that continuously ensures the integrity, provenance, security, and availability of industrial and enterprise data. Developed by xLM in partnership with Sentra, cDIPM embeds continuous validation loops into data pipelines, ensuring that every dataset, model input, and analytic output is fully trustworthy, accurate, and compliant.
Built on industry-standard ALCOA+ principles and further enforcing complete, consistent, enduring, and available data throughout its lifecycle, cDIPM operates in real time, self-reinforces, adapts intelligently, and provides end-to-end traceability with immutable audit records—making it a critical core layer for Industry 4.0, predictive maintenance, AI insights, and regulated digital transformation initiatives.
Why cDIPM?
cDIPM continuously safeguards the integrity, security, and compliance of enterprise and industrial data ensuring trust across your digital ecosystem.
- Continuous Data Trust: Every data flow is validated in real time, ensuring completeness, consistency, and authenticity across systems and pipelines.
- Integrated Compliance: Built-in alignment with GxP, FDA 21 CFR Part 11, Annex 11, GDPR, and HIPAA standards for audit-ready assurance.
- Autonomous Protection: AI-driven monitoring detects schema drift, misclassification, and unauthorized access before they impact operations.
- Scalable Integrity Framework: Seamlessly extends across cloud, edge, and on-prem environments—supporting Industry 4.0, digital twins, and predictive analytics.
cDIPM's AI features include:
AI-Enhanced Classification
Automatically categorizes PII, PHI, and regulated data across OT, IT, and cloud environments—ensuring precision and compliance readiness.
Self-Reinforcing Intelligence
Continuously learns from validated data, evolving classifiers and threat detection algorithms—ensuring adaptive defense against emerging risks.
Agentless Scanning
Non-intrusive scanning discovers and monitors data across OT, IT, and cloud platforms—ensuring visibility without operational disruption.
Continuous Monitoring & Drift Detection
Real-time validation detects schema drift, checksums, and anomalies in streaming data—ensuring accuracy and consistency throughout lifecycles.
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Data Detection & Response (DDR)
Instant alerts and automated remediation for suspicious access patterns or data exfiltration—revoking unauthorized access and notifying stewards.
Intelligent Audit Automation
Generates tamper-evident audit trails and compliance reports aligned with regulatory requirements—reducing audit preparation from weeks to minutes.