AI for Regulated Records Retention & Deletion Automation
Classify records, apply retention schedules, and automate defensible deletion with auditability for regulated industries.
Enterprises must retain and delete records per regulation, litigation holds, and internal policies. AI-driven classification and policy-as-code automate retention/deletion with audit trails, reducing risk and storage cost.
Exceptions workflows with approvals.
Defensible deletion with evidence; chain-of-custody.
Reporting for regulators and internal audit.
Connectors to ECM/email/chat/file shares; hashing/dedup.
ML/LLM classification for record types; PII/PHI detection.
Metadata enrichment; lineage; policy tag assignment.
Frequently asked questions
What is the Implementation Roadmap?
Implementation Roadmap
How do I ingest and classify records within inventory systems?
The system allows you to import your existing inventory data, then automatically classifies each item based on pre-defined rules. You can also manually map these classifications to specific policies to ensure accurate categorization.
Can I deploy the policy engine with schedules and conduct a pilot deletion process?
You can deploy the policy engine alongside scheduled tasks, and initiate a pilot deletion process while maintaining approval workflows for any data removal. This allows you to test the system's functionality and refine your policies before full implementation.
How can I automate holds and overrides, and expand coverage with improved classifiers?
The simulator enables automation of hold and override actions, which can be expanded across various systems to improve efficiency. Furthermore, continuous improvement through enhanced classifiers helps to accurately identify and manage potential issues within your simulated environment.
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.