Lakera Guard
What is Lakera Guard?
Lakera Guard is an AI security platform for security teams that filters prompts, outputs, and connected workflows in real time. It combines Workforce AI Security, AI Agent Security, AI Red Teaming, Context-aware data protection, and Real-Time Protection with policy controls by app, user, data type, and action. Customers and ecosystem references include Dropbox, Pearson, Cohere, Slack, Check Point, Google Cloud, Snyk, Grafana, and Splunk.
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At a glance
- Lakera Guard is best for security teams who need real-time controls for employee and agentic AI use.
- Yes — The page advertises the Lakera API for securing GenAI with a single API call, policy customization, and central monitoring.
What does Lakera Guard do?
Lakera Guard filters AI traffic in real time so teams can protect prompts, outputs, and connected workflows as they run. Its runtime security layer combines prompt attack prevention, data leakage protection, and context-aware data protection with granular policy controls, so security teams can set rules by app, user, data type, and action instead of relying on blanket allow-or-block decisions. At scale, Lakera says it has analyzed 80M+ total prompts and learned from 35M+ attack data points collected through Gandalf, which has been played by 1M+ users and used by thousands of organizations. The platform is built for multimodal, model-agnostic environments and advertises sub-50 ms runtime latency, 100+ languages supported, and a 0.01% production false positive rate. Customers and ecosystem references on the site include Dropbox, Pearson, Cohere, Slack, Check Point, and Google Cloud.
Why use Lakera Guard?
- Its runtime controls focus on what AI does, not just what it can access, which helps teams reduce outcome-level risk.
- The API-first design lets teams add protection with a single call and centralize policy management across deployments.
- Model-agnostic and multimodal coverage helps one control layer work across changing AI stacks instead of one-off point fixes.
- Low-latency enforcement is designed to keep protection in the request path without slowing interactive AI experiences.
- Gandalf feeds real attack data back into the platform, so defenses evolve with newly observed prompt and agent exploits.
Who is Lakera Guard for?
- Security teams who need runtime controls for prompts, outputs, and connected AI workflows.
- Platform engineers who want API-first protection for GenAI applications at scale.
- GRC and compliance teams who need policy enforcement and audit visibility across AI usage.
- AI product teams who need to test and harden applications before release.
- IT teams who need to discover shadow AI and govern employee usage across tools.
What are Lakera Guard's key features?
Workforce AI Security
Protect employee AI use with shadow AI discovery, policy by user, and policy by app so teams can govern usage and stop sensitive data exposure.
AI Agent Security
Secure AI agents with runtime governance, policy by action, and central policy control, helping teams reduce agent misuse across production workflows.
AI Red Teaming
Run direct and indirect attack simulations, including Gandalf-style testing, to find application-specific risks, safety gaps, and regression before release.
Context-aware data protection
Inspect prompts and outputs in context to block sensitive data leakage, using policy by data type and real-time threat detection for safer AI use.
API-first architecture
Integrate protection through a single API call, with policy customization and central monitoring for GenAI apps that need fast deployment and control.
Enterprise integrations
Connect Lakera Guard with Slack, Google Cloud, Snyk, Grafana, and Splunk to route alerts and monitoring into existing security workflows.
Real-Time Protection
Apply sub-50 ms runtime latency protection across 100+ languages, keeping AI interactions monitored without slowing production traffic.
Compliance
Support compliance requirements with AI security controls, logs, and threat intelligence, helping teams document safeguards and respond to audits.
What does Lakera Guard integrate with?
- Slack
- Google Cloud
- Snyk
- Grafana
- Splunk
What are Lakera Guard's use cases?
Security teams enforce runtime controls
Security teams who need runtime controls for prompts, outputs, and connected AI workflows use Lakera Guard to block risky interactions as they happen. They rely on Real-Time Protection and AI Agent Security to stop prompt attacks and reduce data leakage without slowing approved AI usage.
Platform engineers ship GenAI safely
Platform engineers who want API-first protection for GenAI applications at scale use Lakera Guard to add security with a single integration. With API-first architecture and Ultra-low latency, they can protect production traffic while keeping application performance predictable.
GRC teams prove AI compliance
GRC and compliance teams who need policy enforcement and audit visibility across AI usage use Lakera Guard to apply Central policy control and Compliance across apps and workflows. They get clearer oversight of sensitive-data handling and a defensible record of enforcement.
IT governs shadow AI usage
IT teams who need to discover shadow AI and govern employee usage across tools use Lakera Guard to identify unsanctioned AI activity and apply Workforce AI Security. Shadow AI discovery and Enterprise integrations help them bring usage under control without disrupting daily work.
How does Lakera Guard work?
- Connect your first AI app or workflow through the API-first architecture, then turn on Real-Time Protection to inspect prompts and outputs before they reach users.
- Set policies in Central policy control using Granular policy controls, including rules for user actions, data types, and app-specific behavior.
- Enable AI Red Teaming and Prompt attack prevention to simulate real-world abuse, surface weaknesses, and harden the application before release.
- Route alerts and logs into Enterprise integrations like Slack, Splunk, Grafana, or Google Cloud so security and platform teams can monitor issues centrally.
- Review Compliance and Threat Detection & Response signals over time, then refine policies as new models, workflows, and threats appear.
Frequently asked questions
What is Lakera Guard?
Lakera Guard is an AI security platform for security teams that filters prompts, outputs, and connected workflows in real time. It combines Workforce AI Security, AI Agent Security, AI Red Teaming, and context-aware data protection with policy controls by app, user, data type, and action. Customers and ecosystem references include Dropbox, Pearson, Cohere, Slack, Check Point, and Google Cloud.
What is Lakera Guard used for? Who is it for?
Lakera Guard is used for Workforce AI Security, AI Agent Security, and AI Red Teaming. It's built for Security teams, Platform engineers, and GRC and compliance teams.
Does Lakera Guard have an API and what does it integrate with?
The page advertises the Lakera API for securing GenAI with a single API call, policy customization, and central monitoring. It integrates with Slack, Google Cloud, Snyk, Grafana, Splunk.
Editor's read
Check whether your rollout needs policy by app, user, data type, and action across both employee AI and agent workflows. If you also need red teaming before release, confirm the AI Red Teaming workflow is part of the plan you expect to buy.
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