Pillar for AI Development

Dynamically map AI assets and conduct tailored red teaming to identify and mitigate risks in your AI applications.

Discover

Gain comprehensive visibility into your AI ecosystem through detailed mapping of components, structures, models, datasets and tools.

Evaluate

Proactively identify potential vulnerabilities, weak points, and risks through advanced, continuous safety and security testing.

From code to runtime

Identify and Assess your GenAI Projects in Minutes

Continuously map, test, and enhance your AI applications’ visibility and resilience to enable shift-left secure AI adoption.

discover

Security for AI Starts with Visibility

Full AI inventory insights at a glance

Get a complete, up-to-date view of all your AI assets in one centralized dashboard. Easily track and manage your models, datasets, environments and apps to ensure security and safety.

Model security & data integrity

Pillar seamlessly integrates with your SCM and MLOps environments, scanning your models, datasets, and frameworks to identify potential risks and vulnerabilities.

Ensure compliance

Build secure AI applications that comply with strict data privacy requirements, ensuring alignment with both internal policies and regulatory standards.

evaluate

Ensure Your AI Applications Perform as Intended

Tailored assessments for your AI use case

Strengthen your AI applications with tailored red-teaming exercises designed for your specific use cases. Pillar's engine automatically simulates realistic attack scenarios, helping you uncover hidden vulnerabilities, improve your defenses, and build confidence in your AI's resilience against evolving threats.

Trigger-based and continuous testing

Ensure your AI applications are secure and up-to-date with Pillar’s trigger-based and continuous testing. Monitor changes in your apps or models and routinely re-evaluate their exposure posture. Proactively identify and address any new risks that may arise due to updates.

Address a broad range of threats

Defend your AI applications against the most up-to-date, comprehensive range of usage failures, such abuse, privacy, security, availability and safety. Our evaluation engines are powered by robust threat intelligence and adversarial AI research.