Navigating the New Frontier of Data Privacy: Protecting Confidential Company Information in the Age of AI

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Artificial intelligence and large language models (LLMs) are transforming the way we work, and the boundaries of data privacy are being tested like never before. While most organizations have measures in place to secure their proprietary algorithms and internal data repositories, there’s a growing challenge that can’t be overlooked: the uncontrolled sharing of Confidential Company Information (CCI) by users interacting with third-party AI systems.

At Private AI, we’ve been closely observing this emerging risk. Employees, in their quest for efficiency, may inadvertently share sensitive information. For example, when a sales team crafts an email for a high-profile prospect or client, they might leverage an LLM to refine the message, personalizing it with specific names, internal sales metrics, and confidential notes from past interactions. While the LLM’s output can be highly valuable, using sensitive details in prompts could inadvertently expose this information to future training data, raising significant concerns about data security and compliance.

Introducing Private AI 4.0alpha: Your Firewall Against Unintended Data Exposure

We’re excited to unveil our latest solution designed specifically to address this challenge: Private AI 4.0alpha. This cutting-edge tool empowers organizations to protect their CCI proactively, even when users engage with third-party LLMs.

Understanding the Unseen Risk

Traditional data protection strategies focus on securing databases, networks, and internal communications, therefore only protecting the information within that controlled environment. However, the rise of AI-powered assistants and platforms has introduced a new vector for potential data breaches. Employees may input sensitive information into these AI systems to get insights or assistance, not realizing that they’re sharing proprietary data with external entities.

Consider scenarios where:

  • • A marketing professional uses an AI tool to generate a campaign strategy, inputting unreleased product details.
  • • A financial analyst seeks trend analysis from an AI assistant, sharing confidential financial forecasts.
  • • A project manager uses an AI platform to refine a presentation, uploading slides containing client logos and sensitive partnership information.

In each case, the user aims to enhance productivity but inadvertently exposes CCI to platforms that may store, process, or even learn from this data without the organization’s consent.

How the Private AI 4.0alpha Addresses the Challenge

Private AI 4.0alpha is designed to intercept and redact confidential company information before it leaves your organization’s control:

  1. Real-Time Monitoring and Redaction: The engine seamlessly integrates with communication tools and workflows, monitoring data in real-time. Before any information is transmitted to third-party LLMs, it scans and redacts CCI, ensuring that sensitive data is never shared outside of your organization’s environment.
  2. Advanced AI Detection: Leveraging sophisticated machine learning algorithms, the engine recognizes a wide array of sensitive data types, from textual mentions of client names and financial figures to embedded images like customer logos.
  3. Customizable Sensitivity Settings: Every organization has unique data protection needs. The 4.0alpha engine allows you to customize what constitutes CCI, tailoring the redaction process to your specific requirements.
  4. User-Friendly Implementation: Understanding that user adoption is critical, we’ve designed the engine to work unobtrusively. It educates users about potential risks without hindering their workflow, fostering a culture of security awareness.

Balancing Productivity and Privacy

We recognize the immense benefits that AI and LLMs bring to the workplace. Our goal isn’t to hinder innovation but to ensure that it doesn’t come at the expense of data security. The Private AI 4.0alpha enables organizations to embrace the advantages of AI tools while maintaining control over their most sensitive information.

Compliance with Internal Policies and Building Trust

Adhering to your organization’s internal data policies is paramount in maintaining operational integrity and protecting your competitive edge. By proactively implementing solutions like our redaction engine, you’re ensuring compliance with your company’s guidelines and reinforcing trust with clients and partners who expect the highest standards of data security.

Join Us in Securing the Future

As we navigate this new frontier, collaboration is key. We’re inviting forward-thinking organizations to join our early access program for Private AI 4.0alpha:

  • Experience the Technology: See firsthand how our solution can safeguard your CCI without compromising efficiency.
  • Collaborate with Our Experts: Our team is ready to assist you in implementing the engine and optimizing it for your needs.
  • Lead by Example: Demonstrate your commitment to data privacy and set a benchmark in your industry.

Final Thoughts

The intersection of AI and data privacy presents both opportunities and challenges. At Private AI, we’re committed to developing solutions that empower you to leverage technological advancements securely. The Private AI 4.0alpha is more than a product—it’s a partnership in protecting what makes your organization unique.

Thank you for entrusting us with your data privacy needs. Together, we can build a future where innovation and security go hand in hand.

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Arabic
Belarusian
Bengali
Bulgarian
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Catalan
Croatian
Czech
Danish
Dutch
Estonian
Finnish
French
German
Greek
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Italian
Japanese
Khmer
Korean
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Malay
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Polish
Portuguese
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Spanish
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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.