Unblocking Data Reuse
The core problem is that strict compliance requirements often block valuable data reuse in the cloud. This interface simulates the AI Agent defined in the report: a system designed to detect sensitive entities, classify risk, and enforce policies automatically to enable compliant ML usage.
Governance Policies
Configure the agent to enforce specific access and retention rules as per the source report.
Simulate Data Stream
Real-Time Data Processor
Detecting and classifying data sensitivity levels in real-time.
Outcome Analysis
Real-time metrics showing how the AI Agent transforms data risk into safe assets for Cloud and ML usage.
Data Sensitivity Classification
Breakdown of data types detected in the current stream. High sensitivity requires immediate redaction for compliance.
Safe Cloud Adoption Velocity
As the agent runs (x-axis), the "Safety Score" (y-axis) increases, enabling compliant ML usage and cloud migration.
Real-time Governance
Detects and classifies data instantly, removing the bottleneck of manual compliance checks.
Safe Cloud Adoption
By automatically redacting sensitive fields, data can be safely moved to cloud environments.
Compliant ML Usage
Cleaned data retains utility for Machine Learning training without exposing PII/PCI/PHI.