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HomeDrata's AI Principles

Drata's Approach to AI

Building AI solutions aligned with integrity, trust, and regulations

Not Just AI. AI Built For Compliance.

Protecting client data isn't merely a priority; it is the foundation of trust and service integrity.

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Strict Data Separation

We enforce strict data separation across customers to ensure your information is kept safe.

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Content Moderation

Our team conducts internal reviews and uses automated tools to ensure data quality.

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Responsible Governance

We designed our AI approach with fairness, inclusivity, safety, reliability, and privacy in mind.

Strict Data Separation

At Drata, here’s how we’re protecting customer data:

  • Privacy: Anonymize datasets to preserve privacy through data masking and other anonymizing strategies.

  • Access and Encryption: Following strict access control and encryption protocols aligned to current and pending global regulations.

  • Transparency: Proactively communicating our privacy practices and data management protocols to users.

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Content Moderation

We configure multiple guardrails to essure several aspects of data integrity:

  • Relevancy: Use the right data so the results are relevant to you.

  • Accuracy: Building the proper prompts and workflows to avoid hallucination or misinformation.

  • Control: Giving you the final approval on data governance, use, and ingestion.

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Responsible Governance

It’s imperative that these systems will function as intended despite real-world complexities.

  • Testing: Subject all AI models to rigorous testing, including evaluating synthetic datasets reflecting diverse scenarios.

  • Oversight: Enable human oversight and provide users transparency into AI workings.

  • Monitoring: Have well-defined model monitoring procedures to evaluate ongoing performance.

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