Governance

Secure by Design,
Simple by Nature

Robust ML security with effortless implementation and management
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Comparison of team structures with and without ZenML, highlighting streamlined ML pipelines and collaboration.

Regulatory-Compliant ML Oversight

Streamline compliance and operations with a unified ML command center. Ensure adherence to AI regulations.
  • Single view of ML models and how they came to be.
  • Facilitate compliance with EU AI Act & US AI Executive Order through robust tracking.
  • Detailed lineage tracking for model development and decision-making processes.
ZenML dashboard displaying machine learning pipeline runs and experiment tracking with statuses and components.
Flowchart illustrating MLOps tools integration with Kubeflow, SageMaker Pipelines, and AWS for seamless machine learning deployment.

Built-in AI Security Best Practices

Implement and maintain robust security measures across your ML lifecycle. Mitigate risks and ensure regulatory compliance by design.
  • Automated enforcement of security protocols aligned with industry standards.
  • Comprehensive audit trails for model development and deployment.
  • Seamless integration of security best practices in your ML workflows.

Centralized model and data management

Unify management of all ML artifacts in a single, secure, compliant platform. Facilitate regulatory compliance while boosting collaboration and reproducibility.
  • Centralized repository for models, code, and datasets with version control.
  • Streamlined documentation for regulatory reporting and audits.
  • Enhance transparency and traceability across your ML projects.
Flowchart of ML tools like Kubeflow, Airflow, AWS Sagemaker, Azure ML Pipelines, showing model deployment process.
ZenML is SOC2 Compliant

We Take Security Seriously

ZenML is SOC2 compliant, validating our adherence to industry-leading standards for data security, availability, and confidentiality in our ongoing commitment to protecting your ML workflows and data.
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ZenML has been instrumental in becoming a safer platform, fighting against fraudsters and scammers. It has empowered us to deliver efficient insights to our marketing and sales teams and contribute to overall improvements.
Clément Depraz
Data Scientist at Brevo
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Dashboard displaying machine learning models, including versions, authors, and tags. Relevant to model monitoring and ML pipelines.
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