Trulit

Generative AI Policy

Last updated: November 28, 2024

1. Introduction

At Trulit, we are committed to the responsible and ethical use of Generative AI (GenAI) technologies. This policy outlines how we use AI in our platform, our commitments to transparency, and the safeguards we have in place to ensure AI is used responsibly.

2. How We Use AI

Our platform leverages AI technologies in the following ways:

  • Test Case Generation: AI analyzes your requirements documents to automatically generate comprehensive test scenarios and test cases.
  • Intelligent Automation: AI assists in creating and optimizing test automation scripts based on your application's behavior.
  • Defect Analysis: AI helps identify patterns in defects and suggests potential root causes.
  • Natural Language Processing: AI interprets natural language instructions to execute test automation tasks.

3. Data Usage and AI Training

We are committed to protecting your data:

  • No Training on Customer Data: We do not use your proprietary data to train our AI models or any third-party AI models.
  • Data Isolation: Your data is processed in isolated environments and is not shared across customers.
  • Ephemeral Processing: AI-processed content is not retained after the immediate task is completed.
  • Encryption: All data is encrypted both in transit and at rest.

4. Third-Party AI Services

We partner with enterprise-grade AI service providers that meet our rigorous security and compliance standards:

  • Enterprise AI Providers: We work exclusively with industry-leading AI providers that offer enterprise-tier services with robust security, privacy protections, and compliance certifications.
  • Data Processing Agreements: We maintain Data Processing Agreements (DPAs) with all AI service providers, ensuring your data is handled in accordance with applicable data protection regulations.
  • Vendor Vetting: All AI providers undergo comprehensive security assessments, including SOC 2 compliance verification, data handling reviews, and privacy impact assessments.
  • Subprocessor List: Enterprise customers can request a current list of AI subprocessors under NDA as part of the procurement process.

5. Human Oversight

We maintain human oversight in all AI operations:

  • Review and Approval: AI-generated test cases require human review before execution.
  • Override Capability: Users can always override, modify, or reject AI suggestions.
  • Audit Trails: All AI-assisted actions are logged for accountability.
  • Quality Assurance: Our team continuously monitors AI outputs for quality and accuracy.

6. AI Limitations

We are transparent about the limitations of AI:

  • AI-generated content may not always be 100% accurate and should be reviewed.
  • AI cannot replace human judgment for critical testing decisions.
  • Complex edge cases may require manual test case creation.
  • AI performance depends on the quality and clarity of input requirements.

7. User Control

You maintain full control over AI features:

  • Opt-Out Options: AI features can be disabled at the organization or project level.
  • Granular Controls: Choose which AI features to enable or disable.
  • Data Deletion: Request deletion of any AI-processed data at any time.

8. Responsible AI Commitment

We are committed to responsible AI practices:

  • Fairness: We design AI systems to be fair and unbiased.
  • Transparency: We clearly communicate when AI is being used.
  • Accountability: We take responsibility for AI outputs and their impacts.
  • Privacy: We prioritize user privacy in all AI operations.
  • Security: We implement robust security measures for AI systems.

9. Updates to This Policy

We may update this policy as AI technologies and best practices evolve. We will notify users of significant changes through our platform and email communications.

10. Contact Us

If you have questions about our AI practices or this policy, please contact us at ai-policy@trulit.com