lakera✅

AI Tool Categories

• AI Security Tools

• AI Guardrails

• Cybersecurity Tools

• AI Agent Security

• LLM Security Tools

• Enterprise AI Tools

Pricing Structure

Lakera follows a custom pricing model for enterprise AI security solutions, so pricing can depend on the organization's requirements, deployment model, usage, and security needs. Businesses can contact Lakera to discuss their specific requirements.

Lakera also provides ways to get started with its AI security solutions and Guard API, allowing development and security teams to evaluate its capabilities before deploying them in production.

Overview: What is Lakera?

Lakera is an AI-native security platform designed to help organizations safely build, deploy, and use generative AI applications and AI agents.

As businesses increasingly use large language models (LLMs), AI agents, and other generative AI systems, traditional security controls may not address AI-specific threats such as prompt injection, jailbreaks, sensitive data leakage, and malicious instructions hidden inside external content.

Lakera focuses specifically on this layer of AI security. Its platform provides protection for AI applications and agents by analyzing interactions and detecting threats in real time. Lakera currently positions its platform around Workforce AI Security, AI Agent Security, and AI Red Teaming.

Its AI security capabilities can detect threats in user prompts, model interactions, external content, tool responses, and other parts of an AI agent workflow.

One of its core technologies is AI Guardrails, which can detect prompt attacks, data leakage, harmful content, malicious links, and other risks. Organizations can configure these controls to monitor or enforce security policies for their AI applications.

Ideal Users

Lakera can be useful for:

• AI startups

• Enterprise security teams

• AI application developers

• AI engineering teams

• DevSecOps teams

• CISOs and security leaders

• SaaS companies building AI features

• Businesses deploying AI agents

• Organizations handling sensitive data through AI

• Companies developing customer-facing AI applications

It is particularly relevant for organizations that need to protect LLM applications and AI agents from security threats while maintaining a smooth user experience.

Core Highlights

1. AI Guardrails

Lakera provides real-time AI guardrails that can screen interactions going into and coming out of LLM applications. These controls can detect and respond to different categories of AI threats.

2. Prompt Injection Protection

Prompt injection is one of the major security risks for LLM applications. Lakera Guard can detect direct and indirect prompt attacks designed to manipulate AI systems or override their intended instructions.

3. Data Leakage Prevention

Lakera can screen inputs and outputs for sensitive information, including personally identifiable information (PII), system prompts, and custom sensitive entities. Depending on the configured policy, information can be blocked or masked.

4. AI Agent Security

Lakera provides security controls for AI agents, including protection across tool calls, tool responses, and tool descriptions. This helps address risks that can occur when agents interact with external systems and data.

5. AI Red Teaming

Lakera also offers AI red teaming capabilities that help organizations identify vulnerabilities in their generative AI applications and assess potential attack scenarios.

6. Real-Time Detection

The platform is designed to detect AI threats in real time. Lakera states that its security infrastructure can deliver sub-50 ms runtime latency and support more than 100 languages.

7. API-First Architecture

Developers can integrate Lakera's security capabilities into AI applications through its Guard API. The API can screen LLM inputs and outputs and return information about detected threats.

Benefits of Lakera

• Helps protect AI applications against prompt injection attacks.

• Detects potential data leakage from LLM interactions.

• Supports security for AI agents and tool-based workflows.

• Provides real-time AI threat detection.

• Helps organizations create centralized AI security policies.

• Supports more than 100 languages according to Lakera.

• Can be deployed as a SaaS or self-hosted solution through its AI Guardrails offering.

• Provides API-based integration for developers.

• Helps businesses monitor and respond to emerging AI security threats.

• Supports AI security across different models and application environments.

Drawbacks of Lakera

• It is primarily designed for businesses and development teams rather than casual AI users.

• Pricing is not presented as a simple public fixed-price plan.

• Implementing advanced AI security policies may require technical expertise.

• Organizations may need dedicated security or development resources to configure and manage the platform.

• Some capabilities are more relevant to organizations operating production-scale AI applications.

Working Process

Lakera works as a security layer around AI applications and agents.

First, developers integrate Lakera's AI security capabilities with their application or workflow. With the Guard API, applications can send user inputs, external content, tool interactions, or model outputs for security screening.

Lakera then evaluates the content against configured security policies. Depending on the selected configuration, the system can identify prompt attacks, jailbreaks, data leakage, malicious links, content violations, and other risks.

For example, if a user submits a malicious prompt designed to override an application's system instructions, the prompt defense system can detect the attack before it reaches the underlying AI model.

For AI agents, the security layer can also evaluate information received from tools or external sources. This is important because malicious instructions can be hidden inside documents, webpages, tool responses, or tool descriptions.

Once a threat is detected, organizations can configure their application to block the interaction, warn the user, or record the event for monitoring and investigation.

Plans & Pricing

Lakera does not currently present a simple public pricing table with standard monthly plans. Pricing is generally handled according to the organization's security requirements and deployment needs.

AI Guardrails

AI Guardrails provides runtime protection for AI applications and can detect threats such as prompt attacks, data leakage, content violations, and malicious links. It is available as a SaaS or self-hosted solution.

AI Agent Security

The AI Agent Security offering combines agent discovery, risk assessment, and runtime protection. It can help organizations understand which agents are running, assess their risks, and protect their interactions at runtime.

AI Red Teaming

Lakera's AI Red Teaming capabilities are designed to help security teams discover vulnerabilities and test AI applications against different attack techniques.

For current enterprise pricing, organizations should contact Lakera directly.

FAQs

1. What is Lakera used for?

Lakera is used to protect generative AI applications and AI agents against threats such as prompt injection, jailbreaks, data leakage, malicious links, and other AI-specific security risks.

2. What is Lakera Guard?

Lakera Guard is the platform's AI security and guardrails technology. It can screen AI interactions in real time and help applications detect and respond to security threats.

3. Can Lakera protect AI agents?

Yes. Lakera provides AI Agent Security capabilities that include agent discovery, risk assessment, and runtime protection. Its guardrails can also screen tool calls, tool responses, and tool descriptions.

4. Does Lakera prevent prompt injection?

Lakera Guard is designed to detect prompt attacks, including direct and indirect prompt injections, and can be configured to block or flag detected threats.

5. Does Lakera have an API?

Yes. Lakera's Guard API provides an integration point for AI applications to submit LLM interaction content for security screening.

Conclusion

Lakera is an AI-native security platform focused on protecting generative AI applications and AI agents. Its capabilities cover prompt injection defense, data leakage prevention, content moderation, malicious link detection, agent security, and AI red teaming.

For businesses developing AI applications, SaaS products, or AI agents, Lakera can provide a dedicated security layer between users, external content, AI models, and connected tools.

If you are exploring AI tools for small businesses, enterprise AI security solutions, or AI SaaS tools, Lakera can be a useful platform to consider when AI security is an important requirement.