Lakera
AI-native security platform protecting GenAI applications and agents from prompt injections, jailbreaks, and data exfiltration with real-time runtime defenses, red teaming, and Gandalf-derived threat intelligence for enterprise use.
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Key Features
Runtime Protection
Real-time detection of prompt attacks, jailbreaks, and data leakage with sub-50ms latency.
AI Red Teaming
Risk-based vulnerability scans, simulated attacks, and remediation guidance for LLMs.
Gandalf Threat Data
Threat intelligence from 80M+ prompts and 1M+ players to harden defenses.
Model Agnostic
Works with any LLM and supports multimodal inputs across 100+ languages.
Low Latency & Scale
Handles hundreds of prompts per second and scales to high transaction volumes.
Enterprise Integrations
API-first design with SSO, RBAC, SIEM connectors, and cloud-native deployment options.
Risk Index
AI Model Risk Index benchmarks LLM risks in real-world scenarios for prioritization.
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Why Choose Lakera
Proven in Production:
Trusted by Fortune 500s with a 0.01% false positive rate and global language support.AI-Native Approach:
Adapts automatically to new threats using data-driven models without manual signature updates.Comprehensive Coverage:
Detects direct and indirect attacks, multimodal threats, and agent-specific risks.Scalable Integration:
API-first deployment integrates quickly with existing stacks without intrusive code changes.
Pricing
Community Plan: Free — 10,000 API requests/month, up to 8k tokens per prompt, SaaS (EU), community support. Enterprise Plan: Custom pricing; contact sales for unlimited requests, configurable prompts, SaaS or self-hosted (EU/US/AUS), SSO, RBAC, SIEM, and dedicated support.
About Lakera
AI-native security platform protecting GenAI applications and agents from prompt injections, jailbreaks, and data exfiltration with real-time runtime defenses, red teaming, and Gandalf-derived threat intelligence for enterprise use.
What Lakera Does
Lakera secures GenAI applications and agents by detecting and blocking prompt injections, jailbreaks, and data exfiltration in real time, giving developers and security teams runtime defenses that preserve application performance and accuracy.
The platform combines API-first runtime protection, AI red teaming, and the Gandalf threat dataset (millions of simulated attacks and 80M+ prompts) to evolve signatures and behavioral detectors. It is model-agnostic, supports multimodal inputs and 100+ languages, and integrates via APIs, SSO, RBAC, and SIEM connectors.
Use cases include protecting chatbots, autonomous agents, LLM-powered products, and regulated enterprise deployments—enabling risk assessments, vulnerability scans, and production-grade monitoring with low false positives.
Pros & Cons
High Precision
Reduces risk significantly with context-aware detection and low false positives.
Ultra-Low Latency
Sub-50ms responses and ability to scale to 1M+ transactions per day.
Real Threat Data
Powered by Gandalf's 80M+ prompts and attacker-sourced intelligence.
Enterprise Trust
Deployed by major companies and recognized in industry reports and listings.
Opaque Pricing
Enterprise pricing requires sales engagement, complicating budget planning.
Free Tier Limits
Community plan caps at 10,000 requests/month and community support only.
Sales Friction
Custom quotes and enterprise onboarding can slow time-to-value versus self-serve tools.
Frequently Asked Questions
The Community plan is free and includes 10,000 API requests/month, up to 8k tokens per prompt, SaaS hosting in the EU, and community support; it's intended for testing, R&D, and small projects, not high-volume production.
Self-hosting is available on the Enterprise plan; customers can choose SaaS or self-hosted deployments in EU, US, or Australia, with enterprise controls such as SSO and RBAC.
Community support and forums are provided for the free Community plan. Enterprise customers receive dedicated support, SLAs, and direct engagement with the Lakera team.
Yes for Enterprise customers: the Enterprise plan includes production-focused features—unlimited requests, deployment options, and dedicated support—while the Community plan is for testing and R&D.
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