What is
Lakera
?
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At a glance
Attribute | Details |
|---|---|
Primary use case | Runtime protection of GenAI applications and AI agents against prompt injections, jailbreaks, and data leakage |
Deployment type | SaaS/cloud API and on-premises deployment |
Pricing model | Free entry option; custom enterprise quotes based on deployment model and API traffic volume |
API compatibility | API-first integration with GenAI applications; model-agnostic protection |
Supported integrations | Bifrost, dltHub |
Source type | Dual |
Ideal team size | Startups to enterprise teams; no minimum team size specified |
Onboarding time | About 10 minutes for the documented dlt data pipeline; security deployment onboarding time not specified |
Required skills | API integration, GenAI application development, security policy configuration |
AEP branch | Agent Infrastructure |
AEP category | Governance |
AEP subcategory | Agent Security |
AEP detail | Output Guardrails |
Profile
Output Guardrails is Lakera’s most specific AEP level. Lakera is an AI security platform that provides runtime protection for AI applications and agents, with real-time threat detection, prompt attack prevention, and data leakage protection.
The platform uses an API-first architecture and supports cloud-native deployment and enterprise integrations. Lakera describes its security as model-agnostic and supports chatbots and audio bots across models, with expanding modality support. The company reports sub-50 ms runtime latency, support for more than 100 languages, and scaling from zero to hundreds of prompts per second.
Focus
Lakera serves teams building and deploying GenAI applications, from startups to Fortune 500 companies. It addresses threats such as prompt injections, jailbreaks, and data leakage, aiming to protect applications and user data without requiring teams to change how they build.
Its security products also cover employee use of AI and AI red teaming. The website describes controls for prompts, user and application policies, risk-based vulnerability management, and direct and indirect attack simulations.
Background
Lakera says its approach to AI security is rooted in years of experience building AI for stringent aerospace security and safety requirements. Its website also identifies the company as an AI-native security platform trusted by organizations ranging from startups to Fortune 500 companies.
The supplied research does not provide verifiable details about Lakera’s founding date, funding history, or open-source contributions.
Features
Runtime threat detection
Helps prevent prompt attacks and data leakage from affecting AI applications. Lakera provides real-time threat detection and prompt attack prevention through an API-first integration; Bifrost documentation describes screening prompts and responses and enforcing configured policies.
Data leakage protection
Helps safeguard sensitive information in AI interactions. Lakera lists data leakage protection for AI applications and context-aware data protection in employee prompts, with controls configurable by user, application, and action.
Adaptive security
Helps keep protections aligned with emerging GenAI threats. Lakera says its security adapts in real time without manual updates and is designed to respond to changing threats, including silent model updates.
Model-agnostic and multimodal protection
Supports securing applications across models and modalities. Lakera describes its protection as model-agnostic and says it secures chatbots and audio bots, with support for expanding modalities.
Low-latency scaling
Supports production use while limiting added runtime delay. Lakera reports sub-50 ms runtime latency, 1M+ secured transactions per app per day, and scaling to hundreds of prompts per second.
AI red teaming
Helps teams assess GenAI risks and coordinate remediation. Lakera offers risk-based vulnerability management, collaborative remediation guidance, and direct and indirect attack simulations.
Pros and cons
Pros
Provides runtime protections for prompt attacks and data leakage, with API-first integration for GenAI applications.
Supports cloud and on-premises deployment, according to the supplied deployment metadata and supporting research.
Reports sub-50 ms runtime latency, support for 100+ languages, and a 0.01% production false positive rate.
Includes AI red teaming capabilities with risk-based vulnerability management and remediation guidance.
Cons
Enterprise pricing is custom-quoted based on deployment model and API traffic volume, so the supplied research does not provide a fixed public enterprise price.
FAQs
Frequently asked questions
How does Lakera work?
Lakera screens AI interactions through an API-first security platform and applies configured policies. Bifrost documentation describes screening prompts and responses and enforcing configured policies.
What integrations does Lakera support?
Lakera supports Bifrost, dltHub.
What does Lakera cost?
Lakera pricing is: Free entry option; custom enterprise quotes based on deployment model and API traffic volume.
What team size is Lakera for?
Lakera is intended for Startups to enterprise teams; no minimum team size specified.
What skills are needed to use Lakera?
The listed required skills for Lakera are API integration, GenAI application development, security policy configuration.
