ActiveFence
Contact SalesAI safety & trust platform for the GenAI era
By Tanmay Verma, Founder · Last verified 30 May 2026
3.4k views
Added 6d ago
76/100Safe BetAI safety & trust platform for the GenAI era
By Tanmay Verma, Founder · Last verified 30 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
Alice is the most comprehensive AI safety platform we've seen, with unparalleled adversarial intelligence from Rabbit Hole. If you need production-grade guardrails and red-teaming for GenAI, it's a no-brainer. However, the enterprise-only pricing and complexity may deter smaller teams.
Last verified: May 2026
Alice (ActiveFence) is a powerhouse in AI safety, trust, and security. If you're deploying GenAI applications or agents at scale, this platform is designed to catch what others miss—thanks to its massive adversarial data moat (Rabbit Hole). We recommend it for foundation model labs, large enterprises, and any organization where a single safety failure could trigger regulatory scrutiny or brand damage. The WonderSuite trio (WonderBuild, WonderFence, WonderCheck) covers the full lifecycle: pre-launch testing, runtime protection, and ongoing monitoring. That said, Alice is not for hobbyists or startups on a shoestring budget—pricing is custom and enterprise-focused. Alternatives like Microsoft Azure AI Content Safety or AWS Bedrock Guardrails offer simpler, integrated options if your use case is basic toxicity filtering. Real-world caveat: Alice's depth means a steeper learning curve and likely a dedicated trust & safety team to configure policies. But for critical systems, the investment pays off.
Skip ActiveFence if Skip Alice if you need a free or self-service AI safety tool, or if you prefer an open-source moderation API without enterprise-level lifecycle management.
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How likely is ActiveFence to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Alice (formerly ActiveFence) is a security, safety, and trust platform for the GenAI era, trusted by the world’s biggest enterprises and foundation model labs. It safeguards over 50% of the world’s online experiences, protecting 3B+ users across 120+ languages with 1B+ daily AI-human interactions. Alice enables enterprises to test, protect, and monitor AI apps and agents through its WonderSuite platform, which includes WonderBuild for pre-launch stress-testing, WonderFence for dynamic runtime guardrails, and WonderCheck for ongoing automated red-teaming and drift detection in production. The platform is powered by Rabbit Hole, the world’s largest adversarial intelligence engine built on billions of toxic data samples and real-world adversarial research. Key features include multimodal policy alignment, real-time threat detection, and customizable risk tolerance tuning to meet regulatory needs. Unlike generic content moderation tools, Alice specializes in GenAI-specific risks like prompt injection, jailbreaks, and model exploits, making it a top choice for companies like Cohere and Amazon AGI.
Tell us what you want to build — we'll match the AI tools that fit your goal, budget & existing stack.
Concrete scenarios for the personas ActiveFence actually fits — and what changes day-one when you adopt it.
You are preparing to release a new LLM and need to identify vulnerabilities before launch.
Outcome: Use WonderBuild to stress-test the model against the Rabbit Hole adversarial dataset, identify prompt injection and jailbreak vectors, and fix them before deployment.
Your customer-facing chatbot must not give unauthorized financial advice or commit the bank to transactions.
Outcome: Deploy WonderFence with the FSI Detector Pack to intercept advice, commitment, fraud, and data risks in real time, ensuring regulatory compliance.
You need to ensure the toy's AI never generates inappropriate content during interactions with children.
Outcome: Use WonderCheck to continuously red-team the toy's AI in production, detect drift, and surface emerging risks like unsafe conversations identified in the April 2026 report.
Pricing is not publicly disclosed and requires contacting sales. The platform is enterprise-focused, so deployment may require integration effort and dedicated support. There are no self-service tiers or free usage options. Non-technical users will need engineering resources to integrate the API.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published ActiveFence tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Enterprise
Custom
Ideal for
Large enterprises and foundation model labs deploying GenAI at scale, requiring full lifecycle safety across pre-launch, runtime, and production.
What this tier adds
Starting tier with all three WonderSuite products, Rabbit Hole access, adaptive policy alignment, and multi-language support. Custom pricing via sales.
The company stage and team size where ActiveFence's pricing actually pencils out — and where peers do it cheaper.
Alice targets large enterprises and foundation model labs with custom, contact-based pricing. There is no public pricing, so cost comparison with vendors like Azure AI Content Safety (usage-based) or open-source solutions (free) is not directly possible. Organizations with high-volume, regulated AI deployments will find the value in its lifecycle coverage; smaller teams may find cheaper alternatives.
How long it actually takes to get something useful out of ActiveFence — broken out by persona, not the marketing-page minute.
Setup time varies by integration depth. For basic API integration with WonderFence guardrails, expect 1-2 weeks with dedicated engineering support. Full deployment across all three WonderSuite products may take 4-8 weeks, depending on policy customization and model testing scope. Alice provides onboarding assistance as part of the enterprise contract.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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Durable execution platform for crash-safe AI agents and workflows.
