Data Identification and Tracking
How it Works
Integrate Parsifer into your processes for full logging, access controls, and monitoring aligned with your compliance standards. The Parsifer platform uses a four-step process to identify and track your specific source data:
Use Cases
Financial Sector: Banks, credit unions, crypto platforms, mortgage companies, they’re all highly regulated. And by their very nature require risk management controls. Data governance is the bedrock of Compliance. Any decision that materially impacts a customer, a transaction, or a regulatory obligation must be explainable. Change management, audit trails, and access controls are all subject to inspect. Where is your data? Who has access? What did they do and when? Question and more that must be supported with timely proof of work. Parsifer knows and can ease your oversight and audit journey with reports, analytics, timelines and more.
Health Sector: Health and research data are subject to numerous regulations such as HIPAA and GDPR. Any exposure to AI agents and services can breach controls, breaking compliance and public trust.
But the promise of AI can also lead to better outcomes, faster insurance claims processing, and resubmittal. Clinicians and researchers are skeptical of AI usage when the product of those AI models are biased or inaccurate, which also undermines trust.
With proper data governance and quality control, Parsifer provides tools to eliminate data leaks to third parties. The system uncovers bias before and after data processing, ensuring that your results are traceable, repeatable, and validated before you publish or submit claims. This increases trustworthiness in the system.
Public Sector: Government and Defense, indeed all government agencies have strict procurement rules addressing disclosure, specifically concerning the use of AI. In addition, the handling of classified information complicates data usage internally: Data leaks, poor data quality, insider misuse and theft.
In order for data governance to be controlled, secure, and yet transparent to oversight bodies, the guards around access must be strong. The NIST AI Risk Management framework guides the backbone of Parsifer’s services, simplifying audits and liability management.
1. Semantic Fingerprinting – the process starts by analyzing a sample of your work to generate a semantic fingerprint of its characteristics: a unique DNA signature for the data. This fingerprint (FP#1) features metadata that represent source content.
2. Policy and Regulatory – The platform, through APIs and connectors, imports the latest regulatory guidance, as well as internal policies defined by your legal and compliance teams. These guidance materials are parsed and fingerprinted in the same way as above, in step one. These frameworks and rules standardize access and infuse controls upon critical data assets.
3. Data Management – The platform provides a ‘start-to-archiving’ governance tracking timeline tied to the audit trail and system logs. As an employee uses AI system outputs based on prompts and analysis, Parsifer records the entire data lifecycle across different models, processes, and storage modalities.
4. Audit Trail – System logs don’t tell the whole story. For true compliance, you need a record of real-time activity that a regulator will accept as proof of best effort. The only way to create a tamper-resistant data artifact is to show the work that has been done, by whom, and when — the prompts, responses, model versions, and so forth. Then encrypt the data at rest and in transit. Parsifer also provides the option to store the fingerprint and audit trail on chain.
Why Parsifer is a Gamechanger
There’s a lot of hype about GenAI. You might even be under the impression that there are solutions out there to protect your data. Solutions like watermarking, bot trackers, stylometry and firewall security are useful but they dance around the edges of deeper problems – the extremely difficult technical challenges – of identifying the data used to train AI models, how your employees are making decisions off of AI analysis of your proprietary trade secrets. After that data has been sliced, diced and regurgitated by the AI, what happens to it? No one else is tracking and tracing the AI usage of your information – except Parsifer.
Register now for our Pilot Program if you want to know the real truth about how your data is being used.