ActiveFence is now Alice
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WonderBuild
Pre-Launch Stress testing

Discover Risks,
Deliver Resilience.

WonderBuild rigorously stress-tests pre-production AI models, apps, and agents. Powered by the industry’s most comprehensive knowledge of real-world adversarial threats and our red-teaming expertise, turning uncertainty into deployment-ready resilience.

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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CREATE YOUR OWN GENAI WONDERLAND

Launch incredible AI experiences,
fortified for the journey ahead.

Confront adversarial threats head-on

Expose your models, apps, and agents to adversarial scenarios.

Expose real-world misuse scenarios

Simulate complex misuse across modalities, intents, and interactions.

Remediate risks with actionable context

Apply prioritized insights to mitigate issues and harden your AI systems

Deploy with clarity and confidence  

Launch to production with expert-backed resilience and readiness.

Here’s how Alice’s adversarial intelligence expertise
enables you to protect your AI models, apps, & agents:

Real-World Usage & Attack Simulations

Evaluate how your models, applications, and agents behave across realistic user patterns and attack scenarios, informed by Rabbit Hole adversarial intelligence and Alice’s research expertise.

Screenshot of FinBot v2.3 showing blocked messages flagged for safety policies including fraud, violent extremism, and model poisoning, alongside a chat with requests and responses containing sensitive employee data and instructions to bypass firewalls.
Expose Weaknesses

GenAI and Agentic systems can behave unpredictably when exposed to novel, ambiguous, or adversarial inputs. WonderBuild red teaming surfaces weaknesses such as susceptibility to prompt injection and jailbreaking, and risks of PII leakage and data poisoning.

Threat Severity Breakdown showing 1 Low threat: Model behavior probing; 4 Medium threats: Indirect prompt injection via data; 2 High threats: Model-Poisoning; 3 Critical threats: Indirect prompt injection via data.
Protect Your Brand

WonderBuild proactively identifies trust, security, and safety gaps that threaten your brand and user experience - preventing AI systems from suggesting harmful actions, illegal activity, or competitor products and services.

Screenshot of a financial services AI assistant interface showing a prompt about hacking social media accounts, with the response labeled as unsafe for both WonderFence Default and Enterprise Security, and an explanation of unauthorized access techniques.
Track Launch Readiness

Easily track the evaluation status of all your applications to understand what's ready to ship to production, and which need further remediation.

WonderBuild dashboard showing 17 apps, 1247 tests, 1247 vulnerabilities found, and 16.2% average attack success rate with a list of apps and their testing status.
WHAT’S NEXT?

Protect your production AI with WonderFence.

Ready to move to production? WonderBuild’s red-teaming findings integrate seamlessly into WonderFence to ensure that your models are protected and fortified against misuse after launch.

Explore WonderFence

Uncover vulnerabilities before adversaries do.

WonderBuild is the first proactive step towards safe, secure, and responsible AI. See how we expose vulnerabilities, evaluate safety and security, and show exactly which guardrails you need to stay protected.

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