Private AI 4.0alpha – CCI

Introducing Confidential Company Information (CCI) Detection and Redaction: Safeguard Your Corporate Secrets

At Private AI, we understand that your organization’s confidential information is the backbone of your brand and competitive edge. With our 4.0alpha release, we’re excited to introduce Confidential Company Information (CCI) Detection and Redaction—a solution designed to identify and secure sensitive corporate data across your systems, including logos.

Why CCI Detection and Redaction Matters

Today, everything seems to be interconnected, and unintentional exposure of confidential company information can have significant consequences:

  • • Protecting Competitive Advantage: Leakage of proprietary information and internal strategies can erode your market position and benefit competitors.
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  • • Creating Competitive Advantage: By cleaning your data of confidential information, you can leverage advanced technologies and AI tools. This unlocks your data’s full potential, enabling quicker innovation and speeding up access to new technologies without risking sensitive information.
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  • • Preventing Data Breaches: Sharing sensitive data with external parties or AI services can lead to inadvertent disclosures.

Our CCI Detection and Redaction feature helps you mitigate these risks by:

  • • Detecting Risks of CCI Presence: Automatically scanning and identifying confidential information within your data.
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  • • Preventing Unauthorized Sharing: Reducing the likelihood of sensitive data being shared with external parties or AI services.
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  • • Protecting Against Data Leaks: Ensuring that confidential information isn’t used in ways that could lead to future unintended disclosures.

Key Features of Our CCI Detection and Redaction

1. Extensive Entity Detection: Identify a wide range of CCI entities within your data, across 53 languages, including logos, and:

2. Customizable CCI Entity Selection: Recognizing that confidentiality varies across organizations, our solution allows you to select which entities are considered CCI for your specific needs. Don’t see what you’re looking for? Let us know!

3. Logo Detection and Blurring: Detect logos within files and images, automatically blurring them to prevent visual identification.

Use Cases for CCI Detection and Redaction

• Secure Data Sharing with LLMs: When using AI tools for tasks like summarizing corporate reports or generating insights, ensure that confidential information is redacted before processing.

• Prevent Data Leakage in AI Training: Avoid unintended disclosure of proprietary data that could occur if sensitive information is included in AI training datasets.

• Protect Brand Identity: Ensure that logos and branding materials are not shared without authorization, preserving brand integrity.

• Sanitize Documents: Automatically redact CCI from documents before sharing them with partners, vendors, or external stakeholders.

How CCI Detection and Redaction Works

1. Data Scanning: The system scans your text, files, and images to detect predefined CCI entities, utilizing advanced machine learning models for high accuracy.

2. Entity Recognition and Redaction: Detected CCI entities are either redacted or anonymized based on your preferences, ensuring sensitive information is protected.

3. Customization: Choose which CCI entities are relevant to your organization, allowing for a tailored approach that fits your specific confidentiality requirements.

Benefits of Using Our CCI Detection and Redaction

Enhanced Security

Protect your organization’s confidential data from unauthorized access and potential breaches.

Reduced Risk of Data Leakage

Prevent accidental sharing of sensitive information with external AI services or third parties.

Maintaining Competitive Edge

Safeguard proprietary information to maintain your organization’s market position while enabling innovation.

Flexible Integration

Easily integrate our solution into your existing workflows, with support for over 50+ languages.

Peace of Mind

Focus on leveraging AI technologies for growth and innovation, knowing that your confidential data remains secure.

Ready to Secure Your Confidential Company Information?

Our CCI Detection and Redaction feature is designed to give you control over your confidential information, ensuring it doesn’t fall into the wrong hands—even when leveraging powerful AI tools.

Discover how we can help safeguard your corporate secrets while enabling you to harness the full potential of AI technologies.

Protect your data, mitigate risks, and maintain control with Private AI’s latest release.

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Language Packs

Expand the categories below to see which languages are included within each language pack.
Note: English capabilities are automatically included within the Enterprise pricing tier. 

French
Spanish
Portuguese

Arabic
Hebrew
Persian (Farsi)
Swahili

French
German
Italian
Portuguese
Russian
Spanish
Ukrainian
Belarusian
Bulgarian
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
Greek
Hungarian
Icelandic
Latvian
Lithuanian
Luxembourgish
Polish
Romanian
Slovak
Slovenian
Swedish
Turkish

Hindi
Korean
Tagalog
Bengali
Burmese
Indonesian
Khmer
Japanese
Malay
Moldovan
Norwegian (Bokmål)
Punjabi
Tamil
Thai
Vietnamese
Mandarin (simplified)

Arabic
Belarusian
Bengali
Bulgarian
Burmese
Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
Latvian
Lithuanian
Luxembourgish
Malay
Mandarin (simplified)
Moldovan
Norwegian (Bokmål)
Persian (Farsi)
Polish
Portuguese
Punjabi
Romanian
Russian
Slovak
Slovenian
Spanish
Swahili
Swedish
Tagalog
Tamil
Thai
Turkish
Ukrainian
Vietnamese

Rappel

Testé sur un ensemble de données composé de données conversationnelles désordonnées contenant des informations de santé sensibles. Téléchargez notre livre blanc pour plus de détails, ainsi que nos performances en termes d’exactitude et de score F1, ou contactez-nous pour obtenir une copie du code d’évaluation.

99.5%+ Accuracy

Number quoted is the number of PII words missed as a fraction of total number of words. Computed on a 268 thousand word internal test dataset, comprising data from over 50 different sources, including web scrapes, emails and ASR transcripts.

Please contact us for a copy of the code used to compute these metrics, try it yourself here, or download our whitepaper.