PrivateAI PII Redaction
- Listing ID:
- [private-ai-redaction]
- Type:
- Operation
- Connection:
- Integrated
Description
Private AI’s de-identification solution accurately identifies, anonymizes, and replaces 50+ entities of personally identifiable information (PII) so you can protect your customer data, unlock valuable insights, and comply with global privacy regulations like the GDPR, CPRA, HIPAA, and more. We deploy on-premise, or in any cloud, and support 10+ file types including text, PDFs, images, and audio.
More about Private AI Technology
Private AI provides a single API that can simultaneously identify and redact PII, PHI, and PCI data across 53+ languages in text, audio, images, and documents. Other solutions will do detection only, but redaction is left up to the developer, making the total solution much more complex to implement and administer. Additionally, most other services have separate API endpoints for PII, PHI, and PCI, causing organizations to incur further costs and potentially miss important detections in datatypes they had not considered during the initial implementation.
Private AI can also generate synthetic PII to replace any PII in the input data. The synthetic PII generation system leverages proprietary generative models, resulting in replacement entities that fit the surrounding context. This method has numerous benefits, including:
- Eliminating negative impacts on downstream model training for various tasks (e.g., sentiment analysis, named entity recognition)
- Decreasing re-identification risk: if any personal data is missed, it’s very difficult to distinguish between the original data and the synthetic data.
Use Cases
1. Next-Generation Data Discovery
Legacy DLP and compliance software has traditionally fallen short on unstructured data contained in network drives and storage buckets. Such PII detection systems are based on specific rules, which are difficult to configure and require a lot of maintenance.
Private AI’s proprietary technology scans PDFs, Word, PowerPoint and other document formats within your own environments at a far higher level of accuracy while significantly reducing False Positives. And that’s all out of the box, no configuration or rule creation required and no sharing data with a third party!
2. Enable Your Data Science Team and AI-based Tools
AI has enabled a number of quality and efficiency improvements across all industries, but data privacy and regulatory compliance are key concerns when using AI-based software, which is usually run in the cloud and requires customer data to be sent outside your organization or to your internal Data Science teams.
Private AI’s on-premise solution redacts PII, PHI and PCI before it leaves your premises, enabling AI-based software without compromising user privacy.
3. Use Chatbots While Maintaining Compliance
Today’s chatbots and LLMs are incredibly powerful but are similar to the first Wifi networks – there were no passwords, and anyone could log on to any network.
Data that is processed by cloud chatbots or that is used by your data science team to build an internal chatbot can easily leak out or be extracted. It can be as simple as “Tell me Mr Jone’s banking information”.
Private AI mitigates this risk by removing PII before it is sent to the chatbot. Redacted data is easily inspected by non-technical data custodians, building trust that compliace and data privacy are maintained.
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