How Blueteam AI Works

Overview

Blueteam AI operates through a multi-layered architecture that ensures comprehensive visibility, security, and governance over your AI activities. Each layer plays a crucial role in helping you manage and control AI within your enterprise.

Architecture Overview

Key Layers

1. Data Ingestion & Classification:

   • This foundational layer is responsible for the ingestion and classification of data. Blueteam AI supports multiple data sources, ensuring seamless integration with your existing infrastructure.
   • The platform uses machine learning models to probabilistically classify data, enforcing policies as executable machine artifacts.

2. Policy Enforcement & Observability:

   • Policies are codified as classifiers, and the platform enforces them across all AI activities. This ensures alignment with your organization’s standards and reduces the risk of non-compliance.
   • The observability features allow for real-time monitoring and visibility into AI operations, helping to shine a spotlight on Shadow AI.

3. Security & Governance:

   • Security measures are integrated at every level, protecting your data from breaches and misuse.
   • Blueteam AI also provides tools for governance, ensuring that AI usage complies with company policies and industry regulations.

4. Deployment Flexibility:

   • The platform supports the deployment of open-source AI models on your internal infrastructure, whether on-premises or in a Virtual Private Cloud (VPC). This gives you full control over your AI environment.

Conclusion

Blueteam AI’s layered approach ensures that your AI activities are visible, secure, and governed, providing you with the tools needed to manage AI effectively within your enterprise.

Explore the rest of the documentation to learn more about configuring and optimizing Blueteam AI for your needs.