Alice Raises $140M for AI Security Expansion
Alice raised $140 million on August 25 in a round led by Apax Digital Funds, bringing its total funding to $280 million. SecurityWeek reports that the AI trust, safety, and security company uses its platform for model stress testing, continuous red teaming, and runtime guardrails. Alice's press release states that the company is approaching $100 million in annual recurring revenue.
Alice, the AI trust, safety, and security company previously known as ActiveFence, raised $140 million in a funding round led by the Apax Digital Funds. The round brings Alice's total funding to $280 million, according to the company's August 25 press release and SecurityWeek.
MoreTech and Phoenix Financial participated alongside existing investors Resolute Ventures, Grove Ventures, CRV, Highland Europe, Vintage Investments, Norwest, NFX, and Claltech. Alice's release states that Apax Digital will join its board.
According to SecurityWeek, the funding is intended to advance Alice's AI platform, expand the team behind its proprietary intelligence dataset, and scale go-to-market operations.
Model testing and runtime controls
SecurityWeek reports that Alice works with AI developers to stress-test foundation models before public release, using simulated malicious inputs and agentic tasks to identify erratic behavior. Its production offering includes continuous red teaming and runtime guardrails that organizations can configure around internal business rules, alongside breach simulation and real-time traffic monitoring.
The company's proprietary dataset, called Rabbit Hole, was built through years of tracking fraud, ideological extremism, and manipulation campaigns across digital platforms, according to SecurityWeek. Alice's press release describes this historical attack intelligence as a basis for predicting and preventing attacks on AI systems.
"There are infinite ways to break an AI, and you can't defend against something you've never seen," Alice CEO and co-founder Noam Schwartz said in the company's release.
Scale claims and practitioner relevance
Alice's release states that its AI business has grown more than 500% over the past two years, that it is approaching $100 million in annual recurring revenue, and that its research lab employs more than 150 researchers. The company also states that it works with eight of the 10 leading AI model labs and protects more than 3 billion people online. These figures come from the company's release.
For ML and security teams, the reported product scope reflects a broader operational pattern: as models receive access to enterprise data, APIs, and agentic tools, pre-deployment red teaming alone does not cover changing prompts, integrations, or attacker techniques in production. Organizations evaluating comparable platforms typically need to distinguish between model-layer testing, application-layer prompt-injection defenses, policy enforcement, and telemetry that can support investigation after an incident.
Key Points
- 1Alice raised $140 million, giving AI security tooling a substantial new capital base as organizations deploy models with broader operational access.
- 2SecurityWeek reports Alice combines pre-release model stress testing with continuous red teaming and runtime guardrails for production AI deployments.
- 3Comparable enterprise AI security programs commonly require both adversarial evaluation before launch and monitoring after models connect to data and tools.
Scoring Rationale
The $140 million round is a notable financing event for AI safety and security infrastructure, particularly as enterprises deploy agentic systems. The reported capabilities are relevant to ML engineers building production controls, although the story is a company funding round rather than a broadly available model or platform release.
Sources
Primary source and supporting public references used for this report.
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