Learn how to protect against the most common LLM vulnerabilities
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
In-context learning
As users increasingly rely on Large Language Models (LLMs) to accomplish their daily tasks, their concerns about the potential leakage of private data by these models have surged.
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Lorem ipsum dolor sit amet, Q: I had 10 cookies. I ate 2 of them, and then I gave 5 of them to my friend. My grandma gave me another 2boxes of cookies, with 2 cookies inside each box. How many cookies do I have now?
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Title italic
A: At the beginning there was 10 cookies, then 2 of them were eaten, so 8 cookies were left. Then 5 cookieswere given toa friend, so 3 cookies were left. 3 cookies + 2 boxes of 2 cookies (4 cookies) = 7 cookies. Youhave 7 cookies.
English to French Translation:
Q: A bartender had 20 pints. One customer has broken one pint, another has broken 5 pints. A bartender boughtthree boxes, 4 pints in each. How many pints does bartender have now?
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Lorem ipsum dolor sit amet, Q: I had 10 cookies. I ate 2 of them, and then I gave 5 of them to my friend. My grandma gave me another 2boxes of cookies, with 2 cookies inside each box. How many cookies do I have now?
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A: At the beginning there was 10 cookies, then 2 of them were eaten, so 8 cookies were left. Then 5 cookieswere given toa friend, so 3 cookies were left. 3 cookies + 2 boxes of 2 cookies (4 cookies) = 7 cookies. Youhave 7 cookies.
English to French Translation:
Q: A bartender had 20 pints. One customer has broken one pint, another has broken 5 pints. A bartender boughtthree boxes, 4 pints in each. How many pints does bartender have now?
We are thrilled to announce the expansion of Lakera Guard’s advanced PII Detection and Data Loss Prevention (DLP). This is another milestone in our mission to secure GenAI applications implemented by enterprises around the world.
Our PII classifier has been built from the ground up internally, ensuring the highest level of accuracy and performance.
Ensuring Data Security with PII Detection and DLP
Protecting Personally Identifiable Information (PII) is more critical than ever. With stringent regulations like GDPR, GLBA, and HIPAA, organizations must take proactive measures to prevent unauthorized access and disclosure of private data.
Lakera Guard’s expanded PII Detection and DLP capabilities are designed to meet these challenges head-on, providing robust solutions for identifying and managing PII in various GenAI applications.
Key Features of the New PII Detection and DLP
The PII endpoint identifies a wide range of PII entities, including:
- Credit Card Numbers: Validates using the Luhn algorithm to ensure accuracy.
- Phone Numbers: Detects international and US formats with varying separators.
- Email Addresses: Supports standard formats, subdomains, and common separators.
- IP Addresses: Recognizes both IPv4 and IPv6, excluding common DNS addresses.
- Full Names: Identifies full names, including middle names and initials.
- Mailing Addresses: Detects valid US addresses with comprehensive support for abbreviations and suffixes.
- US Social Security Numbers: Recognizes valid SSNs in multiple standard formats.
- IBANs: Identifies valid IBAN numbers in standard formats.
Enhanced Detection Capabilities
Our detection algorithms have undergone significant improvements, resulting in higher accuracy, reduced false positives and negatives, and lower latencies. This capability represents a significant advantage in performance over a number of industry-standard solutions, especially open source solutions like Microsoft Presidio
Phone Numbers
Detection success rate has increased by 15%, with false positive rate decreasing by 90%.
Person Names
Detection success improved by 7%, with false alarms reduced by 98%.
Addresses
Detection success increased by 74%, with false alarms reduced by 63%.
Latency
Latency to detect PII has improved 10x, with even more latency improvements on the way.
Seamless API Integration
The PII endpoint provides an easy-to-use API for integrating PII detection into your applications. The API returns detailed JSON objects with identified PII entities, their types, positions, and original text, ensuring seamless integration and data management.
Dashboard Integration
For users with input logging enabled, PII is automatically redacted from displayed inputs in the Lakera Guard Dashboard. Instead, entity types such as <EMAIL_ADDRESS> or <CREDIT_CARD> are shown, protecting sensitive information while providing clear insights into detected PII.
Ready for Enterprise Deployment
Lakera Guard’s enhanced PII Detection and DLP capabilities are now available to all SaaS and self-hosted customers. Comprehensive documentation and support are provided to facilitate smooth integration and deployment.
With these upgrades, Lakera Guard continues to set the standard for enterprise-grade data protection, ensuring that your applications remain secure and compliant with regulatory requirements.
For more information, visit our documentation or contact our support team at support@lakera.ai.
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Learn how to protect against the most common LLM vulnerabilities
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
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Understand AI Security Basics.
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Uncover LLM Vulnerabilities.
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Introducing Lakera Guard: Bringing enterprise-grade security to LLMs with one line of code.
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