WhyLabs has launched a new type of AI operations platform: AI Control Center. This new platform, which gives teams real-time control of their AI applications, was developed by WhyLabs in response to the growing security and reliability threats posed by GenAI. GenAI has made traditional observability tools insufficient to operationalize AI responsibly.
The GenAI revolution has brought many new challenges and vulnerabilities to enterprises. Teams must ensure that LLMs are not injected on the fly, are not leaking sensitive data, and are not generating responses that could undermine trust.
To address these challenges, WhyLabs AI Control Platform evaluates data from user prompts, RAG context, LLM responses, and application metadata in real-time to surface potential threats. WhyLabs features low-latency threat detection optimized to run directly in inference environments, maximizing safety without cost, performance, or data privacy concerns.
said Alessya Visnjic, CEO of WhyLabs. “Our customers are moving their generative AI efforts from prototype to production, where security and quality are paramount.” “5. Passive observability tools alone are not enough to make this leap because minutes of delay are unacceptable. Our new security capabilities enable our AI team to detect threats in less than 300 milliseconds with 93% threat detection accuracy. We can provide safeguards to prevent this.”
“Yoodli is building for a future where everyone can communicate better through generative AI voice coaching applications,” explains Varun Puri, CEO of Yoodli. “The WhyLabs AI Control Platform provides an accessible, easily adaptable, and trusted solution. We're really excited about the new capabilities that allow us to take AI control over protection.”
“WhyLabs is a key partner in some of Glassdoor's most important generative AI initiatives,” said Malathi Sankar, Director of Machine Learning Engineering, Platforms and Search at Glassdoor. The combination of , strong guardrails, and the ability to fine-tune applications with LLM is the kind of innovation we're looking for when bringing generative AI capabilities into production.”
Built on the company's observability tools used and trusted by many Fortune 500 companies, the new platform provides unprecedented real-time control over AI applications. This enables engineering, security, and business teams to prevent significant risks posed by generative AI. Organizations leveraging WhyLabs AI Control Platform for their generative AI applications are realizing:
- Preventing security threats: Users can detect fraud and abuse of externally connected chatbots and Q&A applications.
- Preventing unsafe user experiences: Users can detect false, misleading, inappropriate, and harmful output.
- Out-of-the-box, customizable threat detection rules: A carefully selected set of rules allows users to perform state-of-the-art threat detection in minutes. In addition, users can customize the threat detector, continuously adjusting it to new examples, and customizing system messages that guide applications to behave securely.
- Prompt and cooperative investigation: Users can identify root causes of issues and develop remediation strategies by analyzing detected threat trends and annotated application traces.
- Drive continuous improvement: Users can improve model evaluation through high-quality datasets built from application interactions captured and annotated by safeguards.
These capabilities are now available in WhyLabs AI Control Platform alongside existing solutions for predicting model health. Thousands of AI developers at organizations like Block, Regions Bank, and Glassdoor rely on WhyLabs to prevent problems in production ML models and ensure high-quality customer experiences in AI-powered applications .
