Alice, an AI trust, safety, and security company, has successfully closed a $140 million funding round, bringing its total capital raised to $280 million. This significant investment underscores the urgent demand for specialized solutions to safeguard AI models and autonomous agents from an increasingly sophisticated landscape of digital threats. The company, formerly known as ActiveFence, is now valued between $700 million and $800 million, reflecting its rapid growth in the critical AI security market.

The funding round was led by Apax Digital Funds, with participation from strategic investors including Samsung and SentinelOne, alongside existing backers. Alice's platform is designed to provide end-to-end coverage across the AI lifecycle, from pre-deployment red-teaming and model hardening to dynamic runtime guardrails and continuous drift detection. The company's unique approach leverages a proprietary dataset called 'Rabbit Hole,' built over nearly a decade by tracking real-world adversarial intelligence across major digital platforms.

This extensive dataset, refined through observing fraud, extremism, and manipulation campaigns, enables Alice to predict and prevent attacks on AI systems by recognizing patterns of hostile online behavior. The company's research arm, comprising over 150 specialists, actively studies how AI systems can be manipulated or fail, collaborating with leading AI model labs to anticipate vulnerabilities. By offering tools for model testing, guardrails, and real-time input/output monitoring, Alice aims to ensure AI systems operate as intended, even as new attack techniques emerge faster than traditional defenses can adapt.

The investment will be used to further advance Alice's AI platform, expand its 'Rabbit Hole' dataset, and scale its go-to-market efforts to serve foundation model labs and enterprises building with AI. The company is already approaching $100 million in annual recurring revenue, with its AI business growing over 500% in the last two years, demonstrating strong commercial traction in a nascent yet vital sector. This growth highlights the industry's recognition that securing AI is not merely a compliance issue but a fundamental requirement for responsible AI deployment.