DataRobot, a leader in AI solutions, has announced the launch of AI observability and one-click compliance documentation tools. These new additions address the critical challenge of ensuring generative AI applications remain compliant with evolving regulations and perform with reliability and accuracy. By offering industry-first tooling for real-time intervention and governance, businesses can now deploy and scale AI applications confidently while ensuring secure, consistent outcomes.
1. AI Observability and Real-Time Monitoring
- DataRobot’s AI observability wrapper allows businesses to safeguard generative AI applications, including those powered by OpenAI, Google Vertex, Microsoft Azure, and Databricks, with just two lines of code.
- This functionality enables real-time intervention, moderation, and governance, ensuring that businesses can proactively monitor and manage AI outputs.
2. Quality Assurance and Stress Testing
- The new functionality offers red team testing, such as jailbreaks and prompt injections, to ensure generative AI models meet both business and security requirements before deployment.
- Vector database monitoring and generative AI action tracing further enhance the system by automating alerts and helping businesses identify and resolve potential issues quickly, optimizing the performance of AI solutions.
3. Seamless Integration with Google Cloud Vertex AI
- The release includes integration with Google Cloud’s Vertex AI, bringing DataRobot’s suite of evaluation and monitoring tools to Vertex AI Platform and Gemini models, empowering businesses to create secure and compliant generative AI solutions tailored to their needs.
4. Comprehensive Compliance Tools
- One-click compliance documentation helps businesses navigate evolving global regulations, such as the EU AI Act and NYC Law No. 144, with automated compliance reporting.
- Automated compliance testing and real-time alerts ensure that AI applications stay compliant with both industry regulations and internal enterprise policies. DataRobot’s guard library helps businesses stay ahead of regulatory challenges, minimizing the risk of compliance issues.
5. Customer Testimonials: Real-World Impact
- Nancy Gohring, Senior Research Director AI at IDC, highlights the importance of tools and processes for managing AI risk and ensuring security and compliance at scale.
- Tim Reed, Head of Data Science and Analytics at NZ Post, shares how DataRobot’s monitoring capabilities allow for flexible selection of large language models (LLMs), ensuring that generative AI is used in a well-governed, secure environment.
- Nenshad Bardoliwalla, Director of Product Management at Google Cloud, praises the integration between DataRobot and Vertex AI, noting that it empowers organizations to build secure, compliant generative AI solutions.
With its new AI observability and compliance tools, DataRobot enables businesses to secure their generative AI solutions while maintaining regulatory compliance. This release ensures that organizations can deploy AI applications confidently, with real-time monitoring, quality assurance, and comprehensive compliance documentation, all while minimizing risks and optimizing performance.
