Lakera AI

What is Lakera AI?

Lakera AI is a digital bodyguard for your AI applications, specifically those powered by Large Language Models (LLMs). It’s designed to shield them from all sorts of nasty threats. This includes things like prompt injection attacks, where someone tries to trick the AI into doing something it shouldn’t, or hallucinations, where the AI makes things up. It also helps prevent data leakage, stops toxic language from appearing, and much more.

Lakera offers something called the Lakera AI Guard API, which is pretty neat because you can add it to your applications with just a few lines of code. It’s super fast, integrates smoothly, and keeps getting smarter with updated threat intelligence. Big companies, major AI model creators, and startups all trust Lakera to handle tough security challenges. It’s also really flexible, working with all sorts of AI models and tech setups, which makes it a great choice for developers.

What really sets Lakera AI apart is its access to the world’s most advanced AI threat database. This means it offers really thorough protection for your GenAI applications. It plays nicely with a wide range of AI models, including popular ones like GPT-X, Claude, Bard, and LLaMA, as well as your own custom LLMs. This gives you a lot of flexibility and control. Lakera AI is built with developers in mind and is ready for enterprise use, meeting security and privacy standards like SOC2 and GDPR. Plus, its products are developed following major AI security guidelines, such as the OWASP Top 10 for LLMs, MITRE’s ATLAS, and NIST.

Lakera AI also gives you options for how you deploy it. You can use their highly scalable SaaS API, or if you prefer, you can host it yourself. Either way, you can effectively secure all your GenAI use cases.

To sum it up, Lakera AI is a complete AI security platform. It was actually co-founded by former Google and Meta ML engineers who bring a ton of practical AI know-how, along with valuable regulatory and business experience. The Lakera AI team is dedicated to making AI systems secure across all sorts of industries. They do this by creating smart security solutions that can keep up with the ever-changing AI threat landscape.

Who created Lakera AI?

Lakera was actually started by three people: David Haber, Matthias Craft, and Mateo Rojas-Carulla. David Haber is the CEO. The team itself is made up of former ML engineers from Google and Meta. They’ve got serious expertise in AI, LLMs, and computer vision, plus they understand the regulatory and commercial side of things too. Their main goal is to build security solutions for AI systems, ensuring that AI can be used for innovation without sacrificing security. You might also know Lakera for creating Gandalf, which is a really popular educational platform for AI and security that millions of people use, including security leaders at Fortune 500 companies.

What is Lakera AI used for?

Lakera AI is a versatile tool that helps various teams secure their AI applications:

• For Security Teams: It helps identify and flag LLM attacks for SOC teams, deliver real-time security with highly accurate, low-latency controls, and stay ahead of AI threats with continuously evolving intelligence. It also protects AI systems against prompt attacks and prevents harm by detecting and responding to them in real-time. Plus, it helps safeguard sensitive PII and prevent data losses to comply with privacy regulations.
• For Product Teams: It ensures GenAI applications comply with organizational policies by detecting inappropriate content, helps prevent insecure LLM plugin design risks, and delivers real-time security for GenAI applications. It also brings safety and security assessments into GenAI development workflows.
• For LLM Builders: It protects LLM-powered applications against prompt injection attacks, safeguards against hallucinations in AI systems, prevents data leakage in AI applications, and protects against toxic language in AI systems. It also helps automatically stress-test AI systems to detect and address potential attacks before deployment.

More specifically, Lakera AI is used for:

• Protecting against prompt injection attacks.
• Safeguarding against PII leakage.
• Securing AI applications for enterprise clients.
• Preventing prompt injection and PII protections.
• Ensuring the safety and security of LLM applications.
• Protecting against data poisoning attacks.
• Preventing insecure LLM plugin design risks.
• Securely integrating Lakera Guard in AI ecosystems.
• Delivering real-time security for GenAI applications.
• Stress-testing AI systems for potential attacks.
• Automatically stress-testing AI systems to detect and address potential attacks prior to deployment.
• Bringing safety and security assessments to GenAI development workflows.
• Protecting AI systems against prompt attacks.
• Delivering real-time security with highly accurate, low-latency controls.
• Staying ahead of AI threats with continuously evolving intelligence.
• Securing LLM applications without compromising latency.
• Preventing harm to applications by detecting and responding to prompt attacks in real-time.
• Ensuring GenAI applications comply with organization policies by detecting inappropriate content.
• Safeguarding sensitive PII and preventing data losses to comply with privacy regulations.
• Preventing data poisoning attacks on AI systems through red teaming simulations.
• Protecting LLM-powered applications against prompt injection attacks.
• Safeguarding against hallucinations in AI systems.
• Preventing data leakage in AI applications.
• Protecting against toxic language in AI systems.
• Automatically stress-testing AI systems to detect and address potential attacks prior to deployment.
• Providing safety and security assessments for GenAI development workflows.
• Ensuring real-time security controls with low-latency capabilities.
• Continuous evolution of threat intelligence to stay ahead of AI threats.
• Securing AI applications against prompt attacks, data loss, and inappropriate content.
• Blocking potential PII leakage and safeguarding against data poisoning attacks on AI systems.
• Safeguarding against hallucinations in applications.
• Preventing data leakage in LLM-powered applications.
• Securing against toxic language in applications.
• Guarding APIs against various security threats.
• Integrating with applications with minimal code requirements.
• Identifying and flagging LLM attacks for SOC teams.
• Securing LLM applications to avoid latency compromise.
• Enhancing security for AI applications without slowing down deployment.
• Demonstrating to customers the safety and security of LLM applications.

Who is Lakera AI for?

Lakera AI is designed for:

• Security teams
• Product teams
• LLM builders

How to use Lakera AI?

Getting started with Lakera is pretty straightforward. Here’s a simple guide:

1. Check out Lakera Guard: Head over to the Lakera Guard website. You can explore all the features there.
2. Add Lakera Guard to your apps: Integrating Lakera Guard into your applications is quick and easy – you can usually do it in just a few minutes.
3. Stay updated with Threat Intelligence: Lakera Guard provides threat intelligence that’s always being updated. This helps you stay one step ahead of new AI security threats.
4. Works with various AI Models: Lakera Guard is built to be compatible with a lot of different AI models. This includes popular ones like GPT-X, Claude, Bard, and LLaMA, as well as any custom LLM setups you might have.
5. Security and Compliance: You can rest easy knowing that Lakera Guard is SOC2 and GDPR compliant, meaning it meets high standards for security and privacy of your data.
6. Flexible Deployment: Lakera Guard offers flexible deployment options. You can use their highly-scalable SaaS API, or if you prefer, you can opt for self-hosted solutions.
7. Who should use it: Lakera Guard is a great fit for security teams, product teams, and LLM builders who need to make sure their AI applications are secure.
8. Book a Demo: If you want to see firsthand how Lakera Guard can boost the security of your GenAI applications, go ahead and schedule a demo.

By following these steps, you’ll be able to effectively use Lakera Guard to keep your AI applications safe from a variety of security threats.