// OpenLane

OpenLane is an AI sandbox built for the unique needs of the security screening community. OpenLane empowers defenders with open tools, models, and datasets to create accurate, efficient AI detection systems for public safety.

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An Open Platform for Security Screening

An open, unbounded threat environment to develop and test advanced screening systems.

Improve Data Access

Eliminate security and privacy friction with synthetic data generators.

Save Time

Eliminate manual annotation and virtualize data collection for faster iterations.

Ensure Safety

Increase threat model coverage to eliminate bias and ensure model safety.

Use Cases

Support a variety of use cases with a single platform.

AI Explainability & Trust

AI Security

Cyber Security Operations

Governance, Risk, Compliance

“Having a source for computer-generated and annotated training images will significantly reduce the time and expense for fielding new machine learning models for more efficient screening and in response to new threats.”

U.S. Department of Homeland Security | Science and Technology Directorate (S&T) Silicon Valley Innovation Program (SVIP) Press Release on Cignal Award

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Resources

Explore how Cignal helps advance innovative AI technologies for public safety.

Energy

Cignal's AI Sandbox as Your STIX/TAXII Testing Ground

Cignal's AI sandbox enables energy utilities to securely test and validate AI-powered threat detection models against STIX/TAXII data, strengthening NERC CIP compliance and enhancing cyber resilience.

Tutorial