ActiveFence

ActiveFence

Enterprise AI governance platform to test, protect, and monitor GenAI apps, agents, and models.

93/100Safe BetCustom pricingContact Sales

Alice is the go-to for enterprises needing full-lifecycle AI safety with proven scale. Its Rabbit Hole data moat and deep integrations (Databricks, AWS, NVIDIA) outperform tooling-only alternatives. However, no self-serve or low-cost tiers exist — budget accordingly.

Verified 17d ago · liveness 93/100 · cite: rightaichoice.com/tools/activefence

Best for
  • Frontier model labs needing pre-launch red-teaming and compliance
  • Enterprise GenAI deployments in finance, insurance, healthcare, and child safety
  • Platform companies with millions of users requiring real-time guardrails across languages
  • Teams deploying AI agents that need robust jailbreak and prompt injection defense
Not ideal for
  • Small teams or startups looking for a free or low-cost basic toxicity filter
  • Projects that only need a simple content moderation API without adversarial testing
  • Organizations that want a self-serve, no-contact sales pricing model
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AdvancedFor a safety engineer with API access: basic integration in 1–2 days; full lifecycle policies in 1–2 weeks. Enterprise onboarding with dedicated support: 2–4 weeks for comprehensive guardrails across all modalities.API · WebAPI available3.5k viewsVerified 17d ago
Pricing
Custom pricing
Contact Sales4 hidden costs
Learning curve
Advanced
For a safety engineer with API access: basic integration in 1–2 days; full lifecycle policies in 1–2 weeks. Enterprise onboarding with dedicated support: 2–4 weeks for comprehensive guardrails across all modalities.
Runs on
APIWeb
API available · 10 integrations
Who it's for
Safety engineer at a frontier model labML platform lead at a fintech companyTrust and safety manager at a social media platform
Live sentiment
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Skip it if

Skip Alice if you need a self-serve, free, or low-cost AI safety tool with transparent pricing and no sales engagement.

The 30-second take
Biggest gripe

Pricing is custom and requires a sales call, so you can't estimate costs upfront without engaging the sales team.

Price reality

Alice targets large enterprises and frontier labs; expect six-figure annual contracts. Competitors like Lakera ($200/month entry) or Arthur ($99/month) are far more budget-friendly for smaller teams. Alice's value is in its data moat and full lifecycle coverage, not in cost efficiency for low-volume use.

In short

ActiveFence — Enterprise AI governance platform to test, protect, and monitor GenAI apps, agents, and models. Best for Frontier model labs needing pre-launch red-teaming and compliance, Enterprise GenAI deployments in finance, insurance, healthcare, and child safety, Platform companies with millions of users requiring real-time guardrails across languages. Contact Sales pricing.

What's new in ActiveFence

Checked 17 days ago

Across the latest 5 updates: 5 news mentions.

Viability Score

93/100
Safe Bet

How likely is ActiveFence to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum
100
funding runway
70
website health
90
wrapper dependency
100

Last calculated: July 2026

How we score →

Key Features

  • Pre-launch stress-testing with automated red-teaming (WonderBuild)
  • Dynamic runtime guardrails for live apps (WonderFence)
  • Continuous red-teaming and drift detection (WonderCheck)
  • Adversarial intelligence engine (Rabbit Hole) with billions of toxic samples
  • Multi-language support across 120+ languages
  • Multi-modal detection: text, image, and emerging modalities
  • Policy alignment with custom rules and risk tolerance
  • Prompt injection and jailbreak detection
  • Integration with Databricks Unity AI Gateway for unified guardrails
  • Real-time adaptation to emerging threats
  • Agentic AI guardrails for autonomous systems
  • Child safety protections for AI toys and child-facing products
  • Financial services-specific risk benchmarking (Financial Benchmark)
  • Evaluation reports for platform safety (e.g., Instagram Teen Accounts)

About ActiveFence

Contact SalesAdvancedAPI availableAPI · Web

Alice (formerly ActiveFence) provides the WonderSuite AI governance platform to test, protect, and monitor GenAI applications, agents, and foundation models from build to production. Designed for enterprises, frontier model labs, and platform companies, Alice ensures safe, secure, and compliant AI at scale through three integrated products: WonderBuild for pre-launch stress-testing with automated red-teaming, WonderFence for dynamic runtime guardrails, and WonderCheck for continuous red-teaming and drift detection in production. The platform is powered by Rabbit Hole, a proprietary adversarial intelligence dataset built on billions of toxic, manipulative, and abusive data samples across 120+ languages, enabling multi-modal detection (text, image, and emerging modalities), policy alignment, and real-time adaptation to emerging threats. Alice protects over 3 billion users and handles over 1 billion daily AI-human interactions. Recent research includes an AI nudification ecosystem report, the Alice Financial Benchmark for unauthorized financial advice detection, and an evaluation of Instagram Teen Accounts. Key integrations include Databricks Unity AI Gateway for unified guardrails across models, tools, and agents, as well as cloud partnerships with AWS, Azure, and Google Cloud. Alice also provides agentic AI guardrails for autonomous systems and financial services-specific risk benchmarking. Compared to standalone red-teaming tools or simple content moderation APIs, Alice offers a full lifecycle approach with a proprietary adversarial data moat that outpaces alternatives in coverage and accuracy.

Behind the Verdict

Alice is the most comprehensive AI safety platform we've evaluated for enterprises and frontier labs. Its three-product suite — WonderBuild, WonderFence, WonderCheck — covers the full lifecycle from pre-launch red-teaming to production drift detection, which is rare in a market full of point solutions. The Rabbit Hole adversarial intelligence engine is a genuine differentiator: built on a decade of real-world data across 120+ languages, it enables detection that adapts to emerging threats faster than competitors. This is why Alice protects over 3 billion users and handles over 1 billion daily interactions. Where it bites: pricing is enterprise-only and requires contacting sales — no self-serve or low-cost tiers exist. Small teams or startups with limited budgets should look elsewhere. Also, the platform's depth means a steeper learning curve; you'll need dedicated trust and safety personnel to configure policies and interpret results. Compared to standalone red-teaming tools like Lakera or simple moderation APIs like Azure Content Safety, Alice provides a full lifecycle approach with a proprietary data moat. The Databricks Unity AI Gateway integration (announced June 2026) is a strong move for enterprises already on Databricks. In practice, we'd reach for Alice when shipping a new LLM or agent that needs rigorous pre-launch testing and ongoing monitoring, especially in regulated industries like finance, healthcare, or child safety. The Financial Benchmark and child safety reports published in 2026 show real-world applicability. Skip it if you just need a basic toxicity filter or have a sub-$50K annual budget.

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Real-world workflow fit

Concrete scenarios for the personas ActiveFence actually fits — and what changes day-one when you adopt it.

Safety engineer at a frontier model lab

You need to red-team a new LLM before release to identify vulnerabilities.

Outcome: Use WonderBuild to run automated red-teaming tests across 120+ languages, generating a report of vulnerabilities within hours.

ML platform lead at a fintech company

You need to deploy guardrails for a customer-facing financial advice chatbot.

Outcome: Integrate WonderFence via API to block unauthorized financial advice in real-time, using the Financial Benchmark to tune policies.

Trust and safety manager at a social media platform

You need to monitor an AI agent for drift and emerging risks in production.

Outcome: Set up WonderCheck to continuously evaluate agent behavior and receive alerts on new attack vectors.

Use Cases

Models Under the Hood

LLM-based classifiers

as of 2026-07-14

Limitations

  • Pricing is not publicly disclosed and requires contacting sales.
  • The platform is enterprise-focused, so deployment may require integration effort and dedicated support.
  • No self-service tiers or free usage options are mentioned.

as of 2026-06-30

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Pricing is custom and requires a sales call, so you can't estimate costs upfront without engaging the sales team.
  • Enterprise-tier pricing likely starts above $50K/year, which may surprise smaller teams expecting a more affordable entry point.
  • Integration with Databricks Unity AI Gateway may incur additional Databricks compute costs not covered by Alice.
  • Custom policy tuning and dedicated support may be billed as add-on services beyond the base platform fee.

Where the pricing makes sense

The company stage and team size where ActiveFence's pricing actually pencils out — and where peers do it cheaper.

Alice targets large enterprises and frontier labs; expect six-figure annual contracts. Competitors like Lakera ($200/month entry) or Arthur ($99/month) are far more budget-friendly for smaller teams. Alice's value is in its data moat and full lifecycle coverage, not in cost efficiency for low-volume use.

Setup time & first value

How long it actually takes to get something useful out of ActiveFence — broken out by persona, not the marketing-page minute.

For a safety engineer with API access: basic integration in 1–2 days; full lifecycle policies in 1–2 weeks. Enterprise onboarding with dedicated support: 2–4 weeks for comprehensive guardrails across all modalities.

Switching to or from ActiveFence

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • From custom in-house safety tooling: Replace with Alice's pre-built classifiers and red-teaming automation, reducing maintenance overhead.
  • From Lakera or Arthur: Migrate by connecting Alice's API endpoints; policy rules can be translated via Alice's policy alignment dashboard.
Migrating out
  • To Lakera: Export red-teaming reports and policy rules; Lakera supports similar guardrails but with less adversarial depth.
  • To Arthur: Move runtime monitoring to Arthur's platform; expectations adjust for less comprehensive data moat.

Integrations

Databricks Unity AI GatewayAWSAzureGoogle CloudOpenAIAnthropicCohereMetaAmazon AGINVIDIA

Resources & Guides

Tools that pair well with ActiveFence

Common stack mates teams adopt alongside ActiveFence, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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