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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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?
The release of Lakera Policy Control Center brought a suite of powerful tools for AI security, and we’re excited to introduce a feature that adds even more flexibility and precision: custom regular expression based detectors.
This new capability allows you to define specific words, text strings, rules and patterns to flag when screening, meeting your unique security and content moderation needs.
With custom regular expression (regex) detectors, Lakera Guard enables you to create custom content moderation and sensitive data screening detectors using regex so that your app can detect, block, or flag specific content that matters most to you.
Whether you need to flag custom PII data types like employee IDs, prevent data leakage of your system prompts, restrict certain types of communication through blocking certain words and phrases, or monitor specific content across your GenAI applications, this feature gives you the control to do so seamlessly.
Here’s how custom regex detectors elevate your security:
Custom regex detectors open up a world of possibilities for businesses dealing with sensitive data or unique content requirements.
Here are some use cases where this feature shines:
For companies with highly specific security requirements, custom regex detectors provide the flexibility and control needed to stay secure without relying on one-size-fits-all solutions.
Custom regex detectors come ready out of the box with Lakera Guard. You can configure as many custom detectors as needed directly within your Lakera Guard policy and immediately start flagging custom fields, all without any code changes.
These detectors integrate with Lakera Guard’s native detectors, for combined analysis in the Lakera Guard dashboard or external security tools, allowing you to monitor and manage them effortlessly.
With just a few clicks, your security team can set up new detectors and ensure consistent security across your entire organization.
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At Lakera, we’re committed to continuously improving our security offerings. Custom regex detectors are just one of the many ways we’re helping organizations take control of their AI security.
As we roll out future updates, we’ll continue to add more customizable features to keep you one step ahead of evolving threats.
Join us on October 15th, 2024, at 6 PM CET | 9 AM PT for a live session titled “Product Peek: Lakera’s Policy Control Center – How to Tailor GenAI Security Controls per Application.”
In this session, you’ll:
Download this guide to delve into the most common LLM security risks and ways to mitigate them.
Get the first-of-its-kind report on how organizations are preparing for GenAI-specific threats.
Compare the EU AI Act and the White House’s AI Bill of Rights.
Get Lakera's AI Security Guide for an overview of threats and protection strategies.
Explore real-world LLM exploits, case studies, and mitigation strategies with Lakera.
Use our checklist to evaluate and select the best LLM security tools for your enterprise.
Discover risks and solutions with the Lakera LLM Security Playbook.
Discover risks and solutions with the Lakera LLM Security Playbook.
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