Identify, Redact, and Replace Personally Identifiable Information in Unstructured Text
Your Data, Your Way
We apply the latest advancements in transformer architectures to pick up PII based entirely on context, which makes us particularly effective on semi-structured and unstructured data.
With Private AI data, security, and machine learning teams can:
- Accurately redact data like ASR transcripts, chat logs, and electronic health records with less than half the error rate compared to alternatives.
- Retain full ownership of your data; it’s never shared with us, and never leaves your infrastructure.
- Identify and redact text in 52 languages (and growing).
- Configure output extensively including turning entities on/off, add block or allow lists, and complying with privacy regulations like GDPR, LGPD, HIPAA, and more.
- Custom entity types developed with the few shot learning techniques Private AI uses.
Built by experts from:
Built by experts from:
How It Works
Private AI is deployed via a single container on-prem so you can easily add our powerful redaction capabilities to any data workflow. The container is accessed via a REST API and can be easily customizable depending on your team’s needs.
PII IDENTIFICATION
Privacy is More Than a ML Model
Private AI detects more than 50 different entity types of personally identifiable information (PII) across 52 languages. Using our contextually aware ML models, we go beyond traditional entity detection to recognize many different kinds of direct and quasi-identifiers.
What is and isn’t PII gets complicated, and Private AI’s team of privacy experts ensures our system works in compliance with major legislation like GDPR, CPRA, and HIPAA.
Private AI can be easily implemented as a filter to screen for PII in any data flow or database.
{
"result": "Hi [NAME_1], [NAME_2] this side. It's been a while since we last met in [LOCATION_CITY_1].",
"result_fake": null,
"pii": [
{
"marker": "NAME_1",
"text": "John",
"best_label": "NAME",
"stt_idx": 3,
"end_idx": 7,
"labels": {
"NAME": 0.8446
}
},
{
"marker": "NAME_2",
"text": "Grace",
"best_label": "NAME",
"stt_idx": 9,
"end_idx": 14,
"labels": {
"NAME": 0.8399
}
},
{
"marker": "LOCATION_CITY_1",
"text": "Berlin",
"best_label": "LOCATION_CITY",
"stt_idx": 63,
"end_idx": 69,
"labels": {
"LOCATION_CITY": 0.8778,
"LOCATION": 0.8512
}
}
],
"api_calls_used": 1,
"output_checks_passed": true
}
TEXT DE-IDENTIFICATION
Redact at Higher Than Human Accuracy
Private AI can replace all the PII detected with unique identifiers (ie. NAME_1, CVV_3, CREDIT_CARD_2) to produce redacted transcripts or de-identified data. Alternatively, replace PII with a mask character. Look at our docs to learn more.
Unrivalled Accuracy
- 50+ entity types
- 52 languages (and growing)
- Processes 70,000 words/second
- Less than half the error rate compared to alternatives
- No third party access
- No regexes
- Real-time redaction
- Complies with GDPR, HIPAA, CPRA, and more
SYNTHETIC PII GENERATION
Never Use Transformers Without Privacy Mitigation
After PII is removed, Private AI can generate synthetic PII to replace all the PII found with fake data that fits the surrounding context.
The synthetic PII generator never sees the original data, eliminating sensitive data leakage. The resulting text further reduces re-identification risk, as an adversary must first identify what PII is real. Good luck finding a piece of straw in a pile of hay!
Taking production data and replacing all PII with synthetic data also minimizes data shift from the original data, which is highly beneficial when creating ML models.
TOKENIZATION & PSEUDONYMIZATION
Reverse PII Removal As Needed
Replace PII with encrypted tokens using Private AI’s tokenization feature. Sometimes referred to as pseudonymization, tokenization preserves the utility of the data while still protecting what’s sensitive.
Tokenization is reversible, allowing you to easily recover the original data. Contact us for documentation and access.