Add-on AI observability along with one-click compliance documentation and testing empower businesses to deploy with confidence
DataRobot, the provider of AI that makes business sense, announced add-on AI observability and one-click compliance documentation and testing for businesses to secure AI outcomes. This new release brings industry-first tooling to ensure generative AI applications get and stay compliant with evolving regulations and policies, helping organizations deploy and scale with confidence.
According to a recent DataRobot survey, 45% of AI professionals cited difficulties ensuring the reliability and consistency of their models, even in mature AI organizations, as their top challenge. Respondents confirmed that monitoring outputs in real-time and ensuring dependable performance remain a significant concern for their business.
“To fully benefit from the transformative potential of generative AI, businesses must feel confident that models will perform as expected in real-world scenarios, with consistency, reliability, and accuracy,” said Venky Veeraraghavan, Chief Product Officer, DataRobot. “Our new observability and compliance tooling instills this confidence, empowering businesses to test, mitigate, and document AI solutions thoroughly for resilient outcomes that minimize risk.”
DataRobot addresses these challenges with its new observability and compliance functionality designed to:
Secure generative AI assets.
- Full observability wrapper for generative AI applications: Safeguard any application with real-time intervention, moderation, and governance in just two lines of code, including OpenAI, Google Vertex, Microsoft Azure, and Databricks.
- Quality assurance testing: Perform red team testing, such as jailbreaks and prompt injection, to stress test your AI applications pre-production to ensure they meet business and security requirements.
- Vector database monitoring and generative AI action tracing: Automate monitoring and alerts to optimize vector database performance, while generative AI action tracing simplifies identifying and resolving root causes.
- Google Cloud Vertex AI integration: New Vertex AI integration brings the full suite of DataRobot evaluation and monitoring tooling to generative AI solutions powered by the Vertex AI Platform and Gemini models.
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Comply with evolving AI regulations.
- One-click generative AI compliance documentation: Navigate evolving international, local, and industry regulations — such as the EU AI Act, NYC Law No. 144, and more — with automated compliance documentation.
- Out-of-the-box compliance testing and alerts: Get and stay compliant with upcoming regulations and enterprise policies using automated compliance tests and an updated guard library to identify and mitigate issues. Real-time alerts make sure your generative and predictive AI solutions stay compliant.
DataRobot is already delivering value for customers, partners, and industry experts:
Nancy Gohring, Senior Research Director AI, IDC: “To adopt AI at scale, organizations require tools and processes that manage risk by ensuring security and regulatory compliance. Companies that put in place standardized processes and tools that support observability, monitoring, and model refinement will enable AI applications that secure AI outcomes and deliver measurable business results.”
Tim Reed, Head of Data Science and Analytics, NZ Post: “With DataRobot generative AI monitoring, we can pick and choose which LLM to use and decide which gives us the best answer for our problem. It’s complete with the metrics that relate to that level of accuracy for toxicity, bias, and more. DataRobot gives us reassurance that we are accessing generative AI through a well-governed and secure environment.”
Nenshad Bardoliwalla, Director, Product Management, Cloud AI, Google Cloud:“We’re excited to collaborate with DataRobot on this Vertex AI integration, giving customers the tools to combine the power of Vertex AI and Gemini models with DataRobot’s strong guardrails and governance features. This integration will allow organizations to develop more secure, compliant generative AI solutions tailored to their unique goals, and we’re eager to see the innovative outcomes it will enable.”
Source: Businesswire
