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.
[Provide the input text here]
[Provide the input text here]
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere.
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?
‍
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?
Lorem ipsum dolor sit amet, line first
line second
line third
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?
‍
Title italic Title italicTitle italicTitle italicTitle italicTitle italicTitle 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?
We’re excited to introduce the latest updates to Lakera Guard’s content moderation capabilities.
With this release, Lakera Guard now offers expanded coverage to detect violent and dangerous content, ensuring that your AI applications remain safe, secure, and compliant.
What’s New?
Lakera Guard has been enhanced to detect and prevent inappropriate and harmful content across three key categories:
Violence and Self-Harm
Lakera Guard now flags content related to violent behavior, injury, death, and self-harm. This includes detecting harmful descriptions that could otherwise harm vulnerable users.
Illicit Activities
The latest update enhances the detection of discussions around criminal activities such as fraud, cybercrime, and terrorism. Any attempt to solicit guidance on executing these illegal activities is immediately flagged.
Firearms and Dangerous Weapons
The new update extends moderation to content discussing the use of firearms, explosives, and related weaponry. This ensures your platform remains free from discussions on dangerous and destructive content.
Performance and Flexibility
Lakera Guard’s enhanced content moderation not only adds broader coverage but maintains top-tier performance. The new detectors are highly customizable, allowing you to tailor which categories should be flagged according to your application’s needs.
Despite the additional layers of detection, we’ve ensured that performance remains fast, with only a minimal increase in latency, keeping moderation efficient and responsive.
Why This Matters
AI applications must be prepared to handle all types of input, including dangerous or malicious attempts by users. With Lakera Guard’s expanded content moderation, you can protect your platform from embarrassing, harmful, or even criminal activities.
Whether you’re securing a public-facing AI tool or managing sensitive enterprise systems, these new updates provide the safety net your application needs to ensure compliance and user protection.
Ready to get started?
For more information on Lakera Guard’s new capabilities and how to integrate them, visit our documentation or contact our support team.
‍
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.
GenAI Security Preparedness
Report 2024
Get the first-of-its-kind report on how organizations are preparing for GenAI-specific threats.
Free Download
Explore AI Regulations.
Compare the EU AI Act and the White House’s AI Bill of Rights.
Understand AI Security Basics.
Get Lakera's AI Security Guide for an overview of threats and protection strategies.
Uncover LLM Vulnerabilities.
Explore real-world LLM exploits, case studies, and mitigation strategies with Lakera.
Optimize LLM Security Solutions.
Use our checklist to evaluate and select the best LLM security tools for your enterprise.
Master Prompt Injection Attacks.
Discover risks and solutions with the Lakera LLM Security Playbook.
Unlock Free AI Security Guide.
Discover risks and solutions with the Lakera LLM Security Playbook.
Don’t miss the updates!
Subscribe to our newsletter to get the recent updates on Lakera product and other news in the AI LLM world. Be sure you’re on track!
You might be interested
Introducing Custom Detectors: Tailor Your AI Security with Precision
Lakera's custom detectors allow you to define specific words, text strings, rules and patterns to flag when screening, meeting your unique security and content moderation needs.
No-Code GenAI Security with Lakera Policy Control Center
With Lakera's Policy Control Center you can define application-specific controls for every one of your GenAI applications—in real time and without developers having to change a single line of code.
Introducing Lakera Chrome Extension - Privacy Guard for Your Conversations with ChatGPT
Lakera introduces Lakera PII Extension—a user-friendly Chrome plugin that allows you to input prompts to ChatGPT securely.
Lakera Guard Enhances PII Detection and Data Loss Prevention for Enterprise Applications
Lakera Guard introduces Advanced PII Detection and DLP capabilities.
Lakera Guard Expands Enterprise-Grade Content Moderation Capabilities for GenAI Applications
We are excited to announce a significant upgrade to Lakera Guard's Content Moderation capabilities.
.png)
Lakera’s Prompt Injection Test (PINT)—A New Benchmark for Evaluating Prompt Injection Solutions
We've released the first version of a new Prompt Injection Test (PINT) Benchmark that can be used to evaluate any prompt injection detection system with a comprehensive dataset that no model, including ours, is directly trained on.
ChainGuard: Guard Your LangChain Apps with Lakera
In this tutorial, we'll show you how to integrate Lakera Guard into your LangChain applications to protect them from the most common AI security risks, including prompt injections, toxic content, data loss, and more!
Introducing Lakera Guard – Bringing Enterprise-Grade Security to LLMs with One Line of Code
Introducing Lakera Guard: Bringing enterprise-grade security to LLMs with one line of code.
Activate
untouchable mode.
untouchable mode.
Get started for free.
Lakera Guard protects your LLM applications from cybersecurity risks with a single line of code. Get started in minutes. Become stronger every day.
Join our Slack Community.
Several people are typing about AI/ML security. 
Come join us and 1000+ others in a chat that’s thoroughly SFW.
