Lakera
AI-native security for GenAI apps, agents, and workforce AI use.
Lakera is a top-tier choice for enterprises needing production-grade GenAI security, with sub-50ms latency and industry-leading precision. Its contact-only pricing and cloud-only deployment limit appeal for smaller teams or air-gapped needs.
Verified 8d ago · liveness 78/100 · cite: rightaichoice.com/tools/lakera
- Enterprise teams with GenAI apps in production
- Regulated industries (banking, healthcare)
- Organizations needing runtime agent security
- Security teams conducting AI red teaming
- Teams needing on-premise or air-gapped deployment
- Organizations without any GenAI usage
- Budget-constrained teams requiring transparent pricing
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Skip Lakera if you need on-premise deployment, transparent self-serve pricing, or if your organization has no GenAI usage to protect.
Contact-only pricing means you may face annual commitments or minimum spend that aren't visible upfront.
Lakera targets mid-to-large enterprises already spending on GenAI infrastructure; contact-only pricing fits procurement-heavy teams. Cheaper alternatives include open-source guardrails (e.g., Guardrails AI) or cloud vendor-built filters (e.g., Azure AI Content Safety), but Lakera offers deeper GenAI-specific threat coverage.
In short
Lakera — AI-native security for GenAI apps, agents, and workforce AI use. Best for Enterprise teams with GenAI apps in production, Regulated industries (banking, healthcare), Organizations needing runtime agent security. Contact Sales pricing.
What's new in Lakera
Checked 5 days agoAcross the latest 1 update: 1 launch.
Viability Score
How likely is Lakera to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
Last calculated: July 2026
How we score →Key Features
- Real-time prompt injection detection
- AI data leakage prevention
- Context-aware policy controls
- Shadow AI discovery across browsers and apps
- Granular policy controls by user, app, action
- Risk-based AI red teaming with simulations
- Boundaryless agent security monitoring
- Direct and indirect attack simulations
- Model-agnostic multimodal support (text, audio, image)
- Ultra-low latency (<50ms) inference
- Centralized policy management without code changes
- Continuous threat intelligence from Gandalf community
- Compliance and regulatory risk management
- Multilingual threat detection (100+ languages)
- Cloud-native, API-first architecture
About Lakera
Lakera is an AI-native security platform purpose-built for enterprise GenAI applications, agents, and workforce AI usage. It provides runtime protection against prompt injections, jailbreaks, data leaks, and toxic content across conversational agents, RAG systems, and connected agents. The platform covers three core areas: Workforce AI Security (shadow AI discovery, policy controls), AI Agent Security (runtime threat detection), and AI Red Teaming (risk-based vulnerability management). With sub-50ms latency, support for 100+ languages, and model-agnostic multimodal capabilities (text, audio, image), Lakera enables real-time adaptation without manual updates. Trusted by Fortune 500 companies like Dropbox and banks, it is API-first and cloud-native. The latest offering includes Gandalf: Agent Breaker, a hacking simulation game for AI red teaming training. Unlike traditional security tools, Lakera specializes exclusively in GenAI threats, offering context-aware policies and continuous threat intelligence from the Gandalf community.
Behind the Verdict
Lakera is built for one thing: GenAI security. If you have production LLMs, agents, or employees using AI tools, it delivers real-time protection with sub-50ms latency and a 0.01% false positive rate. The Gandalf community (1M+ hackers) provides a continuous threat feed that keeps defenses sharp. We'd reach for it when you need runtime guardrails without slowing your team—Dropbox and regulated banks trust it for a reason. But it's not for everyone. Pricing is contact-only; there's no self-service tier or transparent pricing, which can frustrate smaller teams. It's also cloud-native, so if you need on-premise or air-gapped deployment, look elsewhere. Compared to alternatives like CalypsoAI, Lakera is more focused on runtime protection and has deeper GenAI-specific coverage. A caveat: deployment requires API integration, so it's not a plug-and-play browser extension for basic shadow AI discovery. If you're in a regulated industry and have procurement bandwidth, Lakera is a solid pick.
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Real-world workflow fit
Concrete scenarios for the personas Lakera actually fits — and what changes day-one when you adopt it.
Integrate Lakera to intercept all prompts to the LLM, blocking injection attacks and data leaks in real-time.
Outcome: Reduced false positives to 0.01% and achieved sub-50ms latency, with zero code changes after initial integration.
Deploy Lakera's browser extension to discover shadow AI use and enforce policies against sharing PHI.
Outcome: Visible dashboard of all employee AI interactions, automated policy enforcement, and compliance reports for auditors.
Use Lakera's red teaming module to run risk-based simulations (direct/indirect attacks) on a new RAG app.
Outcome: Identified 12 high-risk vulnerabilities with remediation steps, passed security review in 2 weeks.
Use Cases
- Protecting conversational AI agents from prompt injection and data leaks
- Securing document/RAG applications against sensitive data exposure
- Monitoring and governing employee use of ChatGPT, Copilot, Gemini
- Running risk-based AI red teaming simulations before launch
- Enforcing compliance policies across GenAI applications
- Preventing toxic content generation in customer-facing bots
- Securing AI agents in banking, healthcare, and regulated environments
Limitations
- Pricing is not publicly disclosed (contact-only), which may deter smaller teams.
- The platform's enterprise focus means onboarding requires sales engagement.
- On-premise deployment is not supported; Lakera is exclusively cloud-native.
- Some features (like shadow AI discovery) require browser extension deployment, which may add complexity.
as of 2026-06-28
Where the pricing makes sense
The company stage and team size where Lakera's pricing actually pencils out — and where peers do it cheaper.
Lakera targets mid-to-large enterprises already spending on GenAI infrastructure; contact-only pricing fits procurement-heavy teams. Cheaper alternatives include open-source guardrails (e.g., Guardrails AI) or cloud vendor-built filters (e.g., Azure AI Content Safety), but Lakera offers deeper GenAI-specific threat coverage.
Setup time & first value
How long it actually takes to get something useful out of Lakera — broken out by persona, not the marketing-page minute.
For API integration, developers can get Lakera protection within hours by adding the API endpoint and configuring policies via the dashboard. Browser extension deployment for workforce security can be rolled out across the organization in days via MDM. Full enterprise onboarding with risk assessment and policy tuning typically takes 1-2 weeks with Lakera's support.
Switching to or from Lakera
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From basic regex or keyword filters: Replace with Lakera's ML-based detection for context-aware blocking.
- →From general-purpose WAF: Reconfigure to handle GenAI-specific threats via Lakera's API-first approach.
- ↗To open-source guardrails: Export policy configurations and retrain models on open-source frameworks.
- ↗To cloud-native filters (Azure AI, AWS Bedrock): Migrate by rewriting policies in the cloud provider's format.
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