The AI Risk Your Institution
Can't Afford to Ignore.
AI Has Changed The Game for CISOs
Public-facing AI apps and agents have handed attackers a new front door, fundamentally changing the attack surface. Prompt injection, data exfiltration through chatbot interfaces, and model manipulation are now live threat vectors CISOs must own.
Customer-Facing Chatbots
Enforce compliance boundaries in real time and block prompt injection attempts before they reach your model. Build the audit evidence your supervisory teams require into every interaction from day one.
Fraud Detection & Financial Crime
Stress-test your fraud detection systems against real-world manipulation patterns before adversaries find the gaps. Understand exactly how your models behave under pressure before they encounter it in production.
Agentic AI Workflows
Test financial agents against structuring attacks, impersonation attempts, and multi-step exploitation chains before they reach customers. Then, monitor continuously in production so drift and regressions don't become compliance exposures.
Wealth Management & Investment AI
Keep AI-generated recommendations and market commentary within defined regulatory boundaries across every interaction and channel. Maintain centralized visibility across all deployments so nothing operates outside policy.
One platform for every stage
of your AI lifecycle.
Simulate context-aware scenarios before a single customer interaction. Finance-specific presets mean coverage for the failure modes that matter.
- AML, suitability, MNPI, and scope drift presets out of the box
- Adversarial scenarios based around your app's purpose and archetecture
- SR 11-7 examination-ready
Sub-150ms enforcement at every customer interaction. Jurisdiction-aware: the same deployment applies FCA rules for UK users and FINRA rules for US users simultaneously.
- Real-time detection across chat, voice, and agentic interactions
- Automated response workflows for no engineering overhead
- Audit trails at every interaction, structured for examination
What passed your last examination may not pass today. Every model update is a potential regression, so WonderCheck catches vulterabilities before your examiners do.
- Automated adversarial evaluation triggered by model updates.
- Guardrail validation that identifies false positives and false negatives.
- Policy impact analysis before WonderFence changes go live.
- Periodic testing evidence trail for examination demonstration
Your AI Can Be Exploited Before You Know It.
What the Alternatives Don't Cover.
We've Seen the Worst so Your Customers Don't Have to.
Rabbit Hole is the adversarial engine behind WonderSuite. Built on a decade of global trust and safety research and billions of real-world deceptive and manipulative samples, instead of only synthetic data, so that you so you can launch financial AI with confidence that your system has been tested against the threats it will actually face, not the ones someone imagined in a lab.
Map Your AI to Every Framework and Regulation
Easily create custom controls that map to any internal or regulatory policies and enforce them across your full AI lifecycle, giving you the flexibility to maintain compliance with virtually any framework or regulation.
Ready to advance unafraid? Let's talk.
Questions Finance Teams Ask Us
How does WonderSuite handle agentic AI systems that take actions rather than just answer questions?
Agentic systems introduce risks that static guardrails weren't designed for. Multi-step vulnerabilities, tool compromise, and context manipulation across conversation turns require a different approach. WonderSuite tests agents against the full spectrum of these attack vectors in simulation before deployment and monitors them continuously in production.
We're concerned about latency. Will WonderSuite slow down our customer-facing financial AI?
WonderFence operates at under 100ms, purpose-built for high-traffic, latency-sensitive environments like payment agents and customer-facing banking applications. Protection doesn't come at the cost of customer experience.
Our AI operates across multiple regions and languages. Can WonderSuite handle that?
WonderSuite covers 120+ languages with native speaker-level nuance, including regional and cultural context. Misclassification from multilingual gaps is one of the most common failure points in global financial AI deployments. WonderSuite is built to close them.
How does WonderSuite address fraud and financial crime risks in agentic workflows?
Financial agents are vulnerable to structuring patterns, impersonation, and multi-step exploitation that bypass individual transaction checks. WonderSuite tests for these vectors in realistic simulated environments and enforces zero-trust verification policies at runtime so fraud risk is addressed at the system level, not just the input level.