Find what's exploitable in your AI before your users do.

WonderBuild red teams your customer-facing AI apps, agents, and agentic workflows before launch. Thousands of adversarial tests surface prompt injections, jailbreaks, data leakage risks, and compliance and regulatory gaps so your security and legal teams have the evidence they need to approve launch.

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Know what you're shipping before you ship it.

Find the gaps attackers exploit

WonderBuild uses a decade of real adversarial data from Rabbit Hole, to expose the path attackers take so your team can remediate risk before it becomes an incident.

Surface the risks that QA misses

Standard QA doesn't catch prompt injection, jailbreaks, or PII leakage, or agentic misuse. WonderBuild does, across text, multimodal, and agentic systems.

Get detailed results with a prioritized fix list

Every finding is ranked by severity and paired with remediation guidance so your team knows exactly what to fix before launch.

Give your launch committee a green light

WonderBuild gives your CISO, legal, and compliance teams what they need to say yes: test documentation with findings mapped to your regulatory requirements.

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 every application from first test to production sign-off, with clear visibility into outstanding issues and any findings with regulatory implications.

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.

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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Trusted by security and product teams in the world's most regulated industries

Alice brings years of adversarial intelligence expertise to AI security. We give enterprise teams the coverage that generic guardrails and one-time audits can't match.

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WHAT’S NEXT?

Launching is just the beginning.
Keep your AI safe after it ships.

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