AI Control Center
Take control of your AI applications!
AI Control Center keeps AI applications secure as observability alone becomes insufficient in the era of Generative AI. With AI Control Center, users can go beyond catching changes in trends in AI behavior and enable real-time guardrails to steer the application towards safe behavior.
Thousands of users love and trust WhyLabs:
Observability
Full AI lifecycle observability provides insights into your data and model health, alerting you to drift events, performance degradations, potential attacks, and model behavior changes. Experience faster Time to Resolution of AI issues and automate over 80% of manual work involved in running AI in production with WhyLabs.
Security
Curated rulesets enable users to run the most advanced threat detectors in minutes. Beyond that, users can customize threat detectors and continuously tune them on new examples, as well as customize system messages that steer the application toward safe behavior. The real-time guardrail guarantees less than 300ms latency to ensure the best user experience.
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Optimization
Enable continuous application improvement using insights from your AI application’s own user interactions. WhyLabs enables collection and annotation of prompt.response datasets that trigger security actions. These datasets are used to improve model evaluation, RLHF, and fine-tuning.
Control is critical for responsible AI adoption
Real-time prevention of risks and security threats
Protect your AI application by blocking and flagging bad actors and misuse of externally-facing chatbots and Q&A applications. Ensure a reliable customer experience by blocking and flagging false, misleading, inappropriate, and toxic outputs. Make decisions in real time. Operate the guardrail locally, with no raw prompt/response data leaving your VPC.
Have the confidence in the quality of your models
Make sure your production models are always delivering value and ROI. Track all aspects about the model health, from input features to accuracy over time. Be alerted about training-serving skew or feature data quality issues, and resolve them before they impact the model performance.
Detect bias in model predictions, understand the source of bias quickly, fix the model, and run comparisons to ensure the bias has been resolved. Automate as much as 80% of the manual work associated with AI operations in production.
Everything you need to be in control of your AI application
Passive observability tools alone are not sufficient for the Generative AI leap, because you cannot afford a 5-minute delay in learning that the application has been jailbroken. WhyLabs AI Control Center brings together the best of observability and security world for AI applications under one platform.
Teams no longer need to cobble together tools from multiple vendors to monitor predictive AI and secure generative AI. With the AI Control Center you will have the most up-to-date techniques for steering your AI applications towards safe and responsible behavior.
