Accurate Discovery
CADIA employs HITL machine learning concepts, ensuring accurate predictions through human oversight. This leads to precise identification of PII, PCI, PHI, and more.
Customizable Models
CADIA’s tunable classifiers adapt to your specific needs, offering customizable data discovery and classification for proprietary information and unique data types.
Real-World Proof
CADIA was developed and trained on billions of real-world records, ensuring highly accurate data detection and classification.
CADIA & AnyFinds™
Integrating AnyFind and CADIA:
CADIA is powered by Spirion’s AnyFind technology, which treats sensitive data as more than just letters and numbers. AnyFind performs extensive validation checks to minimize false positives and deliver accurate matches. Together, CADIA and AnyFind provide a robust solution for sensitive data discovery and protection.
Performance & Scalability
Context-Aware
CADIA applies context-aware algorithms, reducing false positives and increasing the accuracy of data classification.
Performance & Scalability
Flexible Deployment
Deploy CADIA across various environments, from individual endpoints to complex networks, ensuring comprehensive data coverage.
Key Features
Sensitive Data Discovery:
Accurately identify and classify sensitive data types such as PII, PCI, and PHI.
Tunable Classifiers:
Adjust classifiers for proprietary and industry-specific data types.
Context-Aware Algorithms:
Utilize context-aware algorithms for precise data classification.
Multi-Environment Support:
Supports Windows, Mac, Linux, and various data stores, including cloud and on-premises systems.
Minimal False Positives:
Advanced algorithms reduce false positives to less than 2%, ensuring accurate results.
Comprehensive Data Coverage:
Scan structured and unstructured data, including databases, emails, and file systems.
Check out our Solution Overview
Spirion Sensitive Data Platform (SDP) provides Privacy-Grade™ data discovery and purposeful classification in a highly scalable SaaS hybrid architecture.