Alice raises $140M for frontier AI safety and security [Read the news]
RL Environments

Train and Evaluate Safer, More Capable Agents

Industry-specific simulated workflows train and evaluate agents on complex tasks in both functionality and adversarial environments to build safer, more capable agents

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Alice Data Advantage

Alice is the world’s largest collector and manager of adversarial intelligence data. Our data is the cornerstone for protecting platform, tech, and users online.

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High FIdelity simulations

Prepare Agents for the Threats They Will Face in Production

Train and evaluate agents on real-world tasks across high-fidelity computer-use and tool-use environments generating full trajectories for training, custom evaluations, and benchmarking.

Adversarial Risk Coverage

Test prompt injection, jailbreaks, PII exposure, data exfiltration, malware, bias, and compliance failures.

Computer-Use and Tool-Use Environments

Cover visual interfaces, APIs, connected tools, and terminal-based workflows.

Consumer and Enterprise Workflows

Simulate applications across industries, business functions, and everyday consumer tasks.

Deterministic Verifiers and Rubrics

Reliably measure whether agents complete tasks, follow safety policies, and resist manipulation.

Industry-specific training

RL Gyms Across Domains, Capabilities, and Risks

E-commerce Seller IPI WebGym

A high-fidelity replica of an e-commerce seller back office where agents complete realistic operational tasks while navigating indirect prompt injections hidden across the interface.

Coding Security

A coding-agent environment that tests whether agents can complete development tasks while resisting manipulation embedded across code execution, repository interactions, and connected tools.

WebApp PenTesting

A realistic web application environment where agents identify and exploit vulnerabilities across red-team and blue-team security tasks.

HR Agent Tool-Use Gym

An enterprise HR environment where agents complete workflows involving hiring, payroll, and employee data through connected tools and non-visual interfaces.
Tasks measure whether agents complete the requested workflow while following safety policies, protecting sensitive information, and resisting instructions that could redirect them toward unauthorized actions.

The Alice Difference

The Rabbit Hole, our adversarial engine, draws on billions of data points across hundreds of languages and cultures to create hidden attacks that reflect what agents encounter in production.

Deep Harm Area Domain Expertise

Over eight years partnering with top-10 tech platforms on trust and safety across extreme harms spanning safety (CBRNE, deception, political bias, child safety), security and privacy (prompt injections, PII, data exfiltration, malware), and other risks including financial, legal, and medical.

Reliable Training Signals

Deterministic verifiers and expert-calibrated rubrics produce auditable rewards that show whether an agent succeeded, followed policy, resisted manipulation, and where it failed.

Realistic, Expert-Built Workflows

Near-pixel-match environments and tasks developed with domain, safety, and security experts. Every gym undergoes SME consultation and QA to minimize the gap between simulation and production.

Lead with Safety. Innovate with Confidence.

GenAI risk addressed early becomes a competitive advantage - enabling responsible releases, sustained trust, and faster innovation.

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Breaking Agentic AI - Alice blog post thumbnail on agentic AI security risks and safeguards

What’s new from Alice

Not Your Typical Red Teaming: How we Go Above and Beyond

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Sep 3, 2026
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Sep 3, 2026
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September 3, 2026

Red teaming usually tests if your agent can be broken. Alice also tests over-refusal, how often it wrongly blocks a real customer, the silent failure that costs you business.

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5 Ways Your Third-Party CX Agent Gets Broken

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Jul 31, 2026
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Jul 31, 2026
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July 31, 2026

Third-party CX agents create hidden liability. Learn the 5 attack patterns vendors miss and how WonderSuite closes the gap.

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