White Circle Raises $11M for AI Control Platform

French cybersecurity startup White Circle today announced raising $11 million in seed funding to develop its AI control platform that monitors and secures enterprise AI deployments. The Paris-based company, founded in 2025, has built what it describes as a unified control layer for AI safety, evaluation, and optimization.

AI Control Platform Addresses Growing Enterprise Risk

White Circle’s platform functions as a monitoring system that scans all AI inputs and outputs to identify potential risks including hallucinations, harmful content, prompt injection attacks, abuse, and model drift. According to White Circle, the system performs scans based on organization-defined policies, enabling security teams to monitor AI model behavior and control agent actions.

The platform can identify sensitive customer data leakage, block AI agents from performing malicious actions, flag and ban abusive users, and identify model failures. Security teams can also use the system to enforce organizational policies across AI deployments.

White Circle’s AI models reportedly improve accuracy over time through machine learning. The platform supports 150 languages, enabling deployment across global products and services.

Enterprise AI Security Challenges Drive Market Demand

The funding comes as enterprises grapple with significant AI infrastructure challenges. Gartner estimates AI infrastructure spending will reach $401 billion in 2026, while real-world audits show average GPU utilization in enterprises remains at just 5%.

This utilization problem is compounded by security concerns as organizations move from AI pilots to production deployments. VentureBeat reported that enterprises face a “practical gap between experimentation and production,” particularly as they deploy AI agents for thousands of employees rather than small pilot groups.

The rise of agentic AI introduces additional complexity, with multi-step workflows across applications and data sources creating new operational demands. Organizations must now manage multiple agents running simultaneously with unpredictable, real-time workloads.

NVIDIA-ServiceNow Partnership Signals Enterprise AI Evolution

Meanwhile, major technology vendors are responding to enterprise AI security needs through strategic partnerships. NVIDIA and ServiceNow announced an expanded collaboration at ServiceNow Knowledge 2026, delivering specialized autonomous AI agents with built-in governance and security controls.

ServiceNow introduced Project Arc, a self-evolving autonomous desktop agent for knowledge workers that connects to the ServiceNow AI Platform through Action Fabric. Unlike standalone AI agents, Project Arc includes governance, auditability, and workflow intelligence for every action the agent takes.

The partnership combines NVIDIA’s accelerated computing and open models with ServiceNow’s enterprise workflow context and AI Control Tower governance capabilities.

Regulatory Pressure Adds Urgency to AI Security

Regulatory developments are adding pressure for enterprises to secure AI deployments. CNBC reported that the European Commission is considering rules restricting use of U.S. cloud platforms for processing sensitive government data across EU countries.

The Commission is expected to present its “Tech Sovereignty Package” on May 27, responding to increasing calls within Europe for critical workloads to move away from U.S. cloud providers that currently dominate the European market.

These regulatory pressures create additional compliance requirements for enterprises operating AI systems, particularly those handling sensitive data or operating in regulated industries.

Funding Details and Growth Plans

White Circle’s $11 million seed round came from multiple angel investors, though the company did not disclose specific investor names. The startup plans to use the funding to accelerate product development, hire talent across the United States, United Kingdom, and Europe, and expand its customer base.

“Until now there’s not been a platform purpose-built to monitor AI’s behavior, catch it when it goes wrong, or shape how it acts,” White Circle founder and CEO Denis Shilov said in a statement. “With White Circle, we’re finally giving companies everything they need to hold their AI accountable and optimize their models in a single place, without sacrificing security, compliance or risk.”

The company joins a growing field of AI security startups addressing enterprise concerns about AI deployment risks and governance.

What This Means

White Circle’s funding reflects growing enterprise recognition that AI security and governance cannot be afterthoughts in production deployments. With enterprises spending hundreds of billions on AI infrastructure while achieving minimal utilization rates, platforms that provide visibility and control over AI behavior address critical operational needs.

The convergence of regulatory pressure, particularly in Europe, with practical deployment challenges creates a substantial market opportunity for AI control platforms. Organizations need solutions that balance AI innovation with security, compliance, and risk management requirements.

As AI agents become more autonomous and handle sensitive enterprise workflows, the demand for monitoring and governance platforms will likely accelerate. White Circle’s multi-language support and policy-based scanning approach positions it to serve global enterprises across regulated and unregulated industries.

FAQ

What does White Circle’s AI control platform actually do?
White Circle monitors all AI inputs and outputs to identify risks like hallucinations, harmful content, and prompt injection attacks. It scans based on organization-defined policies and can block malicious AI actions, identify data leakage, and enforce compliance policies.

Why are enterprises struggling with AI security and utilization?
Despite $401 billion in AI infrastructure spending, enterprises average only 5% GPU utilization while facing new security challenges from autonomous AI agents. The gap between AI experimentation and production deployment creates operational and compliance risks.

How does regulatory pressure affect enterprise AI deployments?
The EU is considering restrictions on U.S. cloud platforms for sensitive government data, part of broader tech sovereignty initiatives. This creates additional compliance requirements for enterprises operating AI systems, particularly in regulated industries.