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White Circle

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About

White Circle acts as a comprehensive control layer for artificial intelligence, designed to help organizations manage the safety, security, and performance of their large language model (LLM) deployments. It addresses the growing gap between the rapid advancement of AI capabilities and the tools available to govern them. By providing a centralized platform to monitor interactions, the tool allows teams to see exactly how their AI is behaving in the wild, identify potential risks before they escalate, and enforce strict operational policies across both input and output stages. The platform functions through four primary modules: Test, Protect, Observe, and Improve. In the testing phase, the system automatically "red teams" models to uncover vulnerabilities or failure points. Once deployed, it utilizes low-latency guardrails to safeguard applications against malicious inputs like jailbreak attempts or PII leaks. On the observation side, it clusters user behavior and tracks custom metrics to provide deep insights into risk scores and error rates. Finally, it helps optimize performance through dynamic prompt engineering and model routing, ensuring that each query is handled by the most efficient and cost-effective model possible. White Circle is specifically tailored for enterprise security teams and AI developers who need to meet rigorous compliance standards while maintaining high-performance applications. With SOC 2 Type II and HIPAA compliance, it is suitable for highly regulated industries such as healthcare and finance. The tool is built to handle massive scale, already processing over a billion API requests annually, and supports more than 150 languages, making it a robust choice for global deployments where localized safety standards are required. What differentiates White Circle from standard observability tools is its focus on being an active "control layer" rather than just a passive dashboard. It doesn't just show you what went wrong; it provides the infrastructure to block unsafe content, prevent tool abuse, and detect hallucinations in real-time. By utilizing self-adjusting models optimized for speed, it adds minimal latency to the user experience, allowing developers to implement complex custom policies without sacrificing the responsiveness of their AI applications.

Pros & Cons

High-speed integration with an API setup that takes approximately 5 minutes.

Robust security compliance including SOC 2 Type II and HIPAA certification.

Extensive language coverage supporting over 150 different languages globally.

Automated red teaming capabilities that proactively identify model failure points.

Significant scale capacity with the ability to handle over 1 billion API requests annually.

No publicly listed pricing tiers, requiring direct contact with the sales team for cost information.

Requires a manual 'Get Access' request rather than offering an instant self-serve signup process.

Use Cases

Security engineers can automate red teaming and jailbreak prevention to ensure LLM deployments meet corporate safety standards.

Healthcare product managers can utilize HIPAA-compliant guardrails to detect and block PII leaks during sensitive user interactions.

Global enterprises can monitor AI performance across 150+ languages while clustering user behavior to identify regional trends.

AI developers can optimize operational costs by using model routing to direct queries to the most efficient and cost-effective LLM.

Platform
Web
Task
llm management

Features

automated red teaming

soc 2 & hipaa compliance

hallucination detection

model routing optimization

user behavior clustering

jailbreak prevention

pii detection and blocking

low-latency guardrails

FAQs

How long does it take to integrate White Circle into an existing application?

Integrating the White Circle API typically takes about 5 minutes, allowing developers to quickly add a safety and control layer to their existing AI stack without complex setup.

Is White Circle compliant with major industry security standards?

Yes, the platform is SOC 2 Type II and HIPAA compliant, providing enterprise-grade security suitable for highly regulated sectors like healthcare and finance.

How does the platform help in improving AI performance and reliability?

The tool uses dynamic prompts and model routing to optimize outputs while managing context effectively to reduce errors and improve overall response quality.

Does White Circle support international deployments with multiple languages?

White Circle supports over 150 languages, ensuring that safety policies, clustering, and behavior analysis can be applied consistently across diverse international markets.

What specific security threats does the protection layer mitigate?

The system provides end-to-end protection against jailbreak attempts, PII leaks, tool abuse, and unsafe inputs to keep AI applications secure and reliable in production.

Job Opportunities

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White Circle

AI Engineer (Audio)

Secure and optimize AI deployments with a unified control layer offering automated red teaming, real-time guardrails, and deep behavioral analytics for global enterprises.

engineeringhybridParis, FR
$100,000 - $250,000
full-time

Benefits:

  • Offers Equity

  • Relocation package

  • 20 days of paid vacation

  • Best medical insurance in France

  • Covered subscriptions for AI agents and IDEs

Experience Requirements:

  • 3+ years of experience training large-scale deep learning models

  • Strong hands-on experience with PyTorch and distributed training

  • Familiarity with audio/speech architectures (Whisper, etc.)

  • Experience with vision-language and multimodal architectures

  • Track record of shipping models to production

Other Requirements:

  • Strong engineering fundamentals

  • Fluent English

Responsibilities:

  • Train and fine-tune large-scale audio and multimodal models

  • Design and run experiments on architectures and training recipes

  • Build and maintain audio data pipelines

  • Optimize models for production (quantization, distillation)

  • Deploy models end-to-end for low-latency serving

Show more details

Data Engineer

Secure and optimize AI deployments with a unified control layer offering automated red teaming, real-time guardrails, and deep behavioral analytics for global enterprises.

Benefits:

  • Offers Equity

  • Relocation package

  • 20 days of paid vacation

  • Best medical insurance in France

  • Covered subscriptions for AI agents and IDEs

Experience Requirements:

  • Built or scaled a modern data stack (Snowflake, ClickHouse)

  • Strong in SQL and Python

  • Comfortable working with large, messy datasets

  • Experience with Metabase or Tableau (plus)

Other Requirements:

  • Fluent English

Responsibilities:

  • Build and maintain a clean, stable data environment

  • Develop and run internal data APIs and SDKs

  • Monitor and improve data performance and table layouts

  • Manage data access and governance policies

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Data Scientist / Analytics Engineer

Secure and optimize AI deployments with a unified control layer offering automated red teaming, real-time guardrails, and deep behavioral analytics for global enterprises.

Benefits:

  • Offers Equity

  • Relocation package

  • 20 days of paid vacation

  • Best medical insurance in France

  • Covered subscriptions for AI agents and IDEs

Experience Requirements:

  • Strong Python and SQL with an engineering mindset

  • Solid applied NLP/ML experience on real-world text

  • Comfortable with distributed processing and large-scale storage

  • Experience evaluating fuzzy problems and metrics

  • Prior work with safety, moderation, or observability datasets

Other Requirements:

  • Fluent English

Responsibilities:

  • Turn petabytes of unstructured text into structured views

  • Build scalable representation pipelines and embeddings

  • Use LLMs pragmatically for labeling and enrichment

  • Deliver insights that change product and operational decisions

  • Ship self-serve analytics datasets and dashboards

Show more details

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