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WonderFence
Real-Time AI Guardrails

Your AI is live. Not every response is safe.

WonderFence sits between your external-facing AI and your users, intercepting harmful, non-compliant, and off-policy responses before they land. Unlike the guardrails baked into your LLM or cloud platform, WonderFence is configured to your application, your policies, and the specific risks that come with your industry.

Transform policies into dynamic run-time guardrails.

Built-in model filters catch generic threats. WonderFence catches the ones specific to your application, your users, and your regulatory environment.
Real-Time Risk Detection

WonderFence reviews every prompt coming in and every response going out. Harmful inputs are blocked before hitting your LLM, keeping your token costs down and your model clean. Harmful outputs are blocked in real time before impacting your users or systems.

Dashboard showing average remediation time of 0.04 seconds with 129 total blocks today, detailing blocks for Violent Extremism, Hate Speech, and Credit Card PII.
Adaptive Protection

Generic guardrails degrade over time as your model and your users evolve. WonderFence continuously adapts to your specific application context, with proprietary fine-tuning that keeps detection accurate without generating the false positives that frustrate users and erode trust in the tool.

Dashboard screen showing eight policy cards for content safety and security featuring categories like bullying control, fraudulent scheme detection, derogatory nickname prevention, prompt injection, fact-check enforcement, malicious file detection, predatory behavior detection, and personal identifiable information masking.
Live Observability

Consolidates guardrails from multiple vendors and models into a single observability layer, improving oversight, consistency, and audit readiness.

Monitor activity across agents and applications, seeing which detections were triggered, what actions were taken, and why.

Interface of Claude AI v1.4 showing flagged prompts categorized by critical and medium risk levels including Child Protection, Misinformation, Hate Speech, Privacy, Financial Safety, Health & Safety, and Spam & Automation.
Multimodal & Multilingual

Supports text, image, audio, and video detection in 20+ languages, offering culturally nuanced coverage across global user interactions.

Dashboard screen showing WonderFence app insights with FinBot monitoring OpenAI API version 2.2 in production, displaying 200 tests, 12/89 active fences, 50% health score, activated fences list, and a violations over time graph from January to March.
Centralized Governance

WonderFence maps your guardrails directly to the regulatory frameworks your legal and compliance teams care about: EU AI Act, ISO 42001, NIST, MITRE ATLAS, and OWASP. Every decision is logged, every policy is documented, and every audit trail is ready when you need it.

Dashboard interface of WonderFence showing active fences, prompts blocked today, total requests, block rate, benchmark adherence, and a list of applications with their status, technology, version, number of tests, active fences, and health scores.

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?

Sustain trust as your AI systems evolve,
with WonderCheck.

AI systems behave differently once in production. WonderCheck's ongoing automated red-teaming detects drift, regression, and emerging risks - validating that safeguards remain effective over time.

Explore WonderCheck