All analysis was generated autonomously, without human review. Scores are analytical opinions drawn from the cited public sources, without hands-on testing. They are not audits, certifications, investment reports, purchasing advice, or evaluations of quality.
This analysis draws mostly on the vendor's own published materials, with limited outside corroboration.
Many newer AI-guardrail vendors sell features a competitor can copy in a quarter. Alice, the renamed ActiveFence, carries two things rivals cannot code around. Rabbit Hole is its decade-long private store of billions of adversarial and abusive interactions in more than 120 languages. And eight years catching harmful content for platforms like Amazon and TikTok put its protection inside seven of the ten largest foundational AI models, per its own pages. Neither can be reproduced by writing software. The catch is validation. Alice's roots are UGC trust and safety, and although its own pages describe the corpus as covering jailbreaks and prompt injection, no independent evidence yet validates its efficacy against agent-era threats.
| Description | Alice (formerly ActiveFence) is an AI security, safety, and trust company that tests, protects, and monitors enterprise AI apps and agents against prompt injection, adversarial attacks, and harmful content. | [f1] |
|---|---|---|
| Founded | 2018 | [f2] |
| HQ | New York, USA, and Tel Aviv, Israel | [f3] |
| Funding | $140M total | [f2] |
| Latest funding | Series B announced in 2021, led by CRV and Highland Europe | [f3] |
| Product | What it does |
|---|---|
| WonderSuite | AI governance and security platform that tests, protects, and monitors enterprise AI apps and agents across the deployment lifecycle. |
| WonderBuild | Pre-launch adversarial stress-testing that probes AI models, apps, and agents for vulnerabilities before deployment. |
| WonderFence | Dynamic runtime guardrails that intercept harmful inputs and outputs of live AI apps and agents and enforce policy in real time. |
| WonderCheck | Ongoing automated red-teaming and evaluation of production AI systems to detect drift and surface emerging risks for remediation. |
| Rabbit Hole | Adversarial intelligence engine built on billions of harmful and manipulative data samples that powers the WonderSuite products. |
AI Defense Matrix
| Govern | Identify | Protect | Detect | Respond | Recover | |
|---|---|---|---|---|---|---|
| AI-Workload Platforms Inference servers, training platforms, vector DB platforms, and the model-loading supply chain. | ||||||
| AI Orchestration Tools Agentic orchestration tools, plus their plugins, skills, hooks, system prompts, scaffolding, harnesses, configuration settings, and MCP clients on user devices. | ||||||
| AI-Generated Code Code produced by AI tools, AI-assisted reviews, AI-generated infrastructure-as-code and tests, and vibe-coded apps that bypass CI/CD. | ||||||
| AI Gateways & Routers MCP proxies and gateways, LLM routers, outbound AI-service traffic, shadow AI egress, and model-registry traffic. | ||||||
| AI Model Model weights, fine-tuning checkpoints, model cards, registries, AIBOM, and the third-party LLMs your enterprise consumes. | ||||||
| Training Data Datasets used for training, fine-tuning, and continued learning. | ||||||
| Runtime AI Data User prompts, inference inputs, RAG content, vector DB content, persistent agent memory, and interaction history. | ||||||
| AI Agent Identities AI agents as non-human principals, plus credentials, keys, permission scopes, service accounts, and delegation chains across agents and tools. |
Alice WonderFence applies dynamic runtime guardrails to the prompts, inputs, and outputs of live AI apps and agents, while WonderBuild and WonderCheck stress-test and red-team AI models before and after launch. These capabilities are mapped to the AI Defense Matrix. [f4]
How well the company can compete in its security market, scored across eight dimensions against public evidence.
| Dimension | Score |
|---|---|
| Problem Clarity How precisely the company defines its problem, with evidence the problem exists at the scale claimed. | 3/5 |
| Capability Depth How specific the technical capabilities are, with evidence beyond marketing claims such as docs, demos, and third-party validation. | 3/5 |
| Market Timing Whether the market is ready for this product, with evidence that buyers are actively seeking solutions. | 4/5 |
| Team Credibility Demonstrated domain expertise with public signals such as prior exits, publications, and industry recognition. | 3/5 |
| GTM Proof Evidence of actual traction (customers, revenue signals, partnerships) beyond stated intentions. | 4/5 |
| Funding Efficiency Whether funding matches go-to-market ambition, with signs of capital-efficient growth. | 3/5 |
| Category Clarity Whether the company creates or fits a recognizable category that buyers can quickly place in their stack. | 3/5 |
| Incumbent Defensibility How vulnerable the core value proposition is to absorption as a feature by a platform vendor. | 3/5 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
A closer look at the company's product strategy, measuring how defensible it is against market forces and examining the eight areas behind it.
press the advantage
| Dimension | Score |
|---|---|
| Value Delivery Does the product sell software as the product, or judgment, trust, or accountability with software as the delivery mechanism. | 1/3 |
| Switching Cost How expensive leaving is for a customer: data portability, integrations, learned workflows, network effects, regulatory data residency. | 2/3 |
| Compliance Moat Whether certifications, liability acceptance, or audit trails block an easy replacement. | 1/3 |
| Problem Complexity Whether the product requires ML, optimization, real-time systems, or years of specialized expertise. | 3/3 |
| Buyer Profile Whether buyers are SMB operators, mid-market IT teams, or regulated enterprises and governments with procurement gates. | 3/3 |
| Layer Whether the product is an end-user application, a platform with application features, or infrastructure other applications depend on. | 2/3 |
| Proprietary Data, Content, or IP Whether the product accumulates datasets, content licenses, or IP that a rival cannot recreate from scratch. | 3/3 |
Unlock the Full Analysis
The reasoning for the scores, the strategy deep dive, the business risks, and more. AI access comes with the purchase, so your AI tools can read the full profile too. You keep 12 months of access.
One-time purchase: $20 per profile.
UnlockReading several? Unlock the entire catalog.
| Id | Source | Tier | Accessed |
|---|---|---|---|
| f1 | Alice: LLM Security and Governance for Production AI | official | 2026-06-24 |
| f2 | Calcalist: ActiveFence rebrands as Alice, shifting focus to AI model security | press | 2026-06-24 |
| f3 | TechCrunch: ActiveFence comes out of the shadows with $100M in funding | press | 2026-06-24 |
| f4 | Alice: Security Platform for Enterprise AI | official | 2026-06-24 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Alice: Secure, Safe, and Trustworthy AI “WonderFence: Dynamic Runtime Guardrails. WonderBuild: Pre-Launch Stress-Testing. WonderCheck: Ongoing Automated Red-Teaming.” | official | 2026-06-24 |
| s2 | Alice: AI Governance and Safety Platform for Enterprise “Security Platform for Enterprise AI. Test, Protect, and Monitor AI Apps and Agents.” | official | 2026-06-24 |
| s3 | Alice: LLM Security and Governance for Production AI “WonderFence is runtime protection, it intercepts harmful inputs and outputs in real time with latency under 150ms. Customers: TikTok, Amazon, NVIDIA, Cohere, Black Forest Labs.” | official | 2026-06-24 |
| s4 | PR Newswire: The Secret Sauce Protecting the Internet is Now Securing AI, ActiveFence is now Alice “For nearly a decade, Alice has been protecting over 3 billion people and 7 of the world's 10 largest AI foundation models, working with clients such as Amazon, TikTok, Nvidia, Cohere, and Black Forest Labs.” | press | 2026-06-24 |
| s5 | Calcalist: ActiveFence rebrands as Alice, shifting focus to AI model security “ActiveFence, founded in 2018, is rebranding as Alice and expanding into AI model security. The company has raised $140 million to date.” | press | 2026-06-24 |
| s6 | TechCrunch: ActiveFence comes out of the shadows with $100M in funding “The $100 million covered two rounds: a Series B led by CRV and Highland Europe and a Series A. The company was understood to be valued over $500 million and co-headquartered in New York and Tel Aviv.” | press | 2026-06-24 |
| Id | Source | Tier | Accessed |
|---|---|---|---|
| s1 | Alice: Secure, Safe, and Trustworthy AI “WonderBuild: Pre-Launch Stress-Testing. WonderFence: Dynamic Runtime Guardrails. WonderCheck: Ongoing Automated Red-Teaming.” | official | 2026-07-08 |
| s2 | Alice: AI Governance and Safety Platform for Enterprise “WonderSuite is the AI security platform for teams launching customer-facing AI in regulated industries. Test your security and safety posture before launch. Protect your AI experience in production. Catch what changes over time.” | official | 2026-07-08 |
| s3 | Alice: Production LLM Security and Real-Time AI Guardrails “Rabbit Hole is Alice's proprietary adversarial intelligence engine, the world's largest dataset of harmful, manipulative, and adversarial AI interaction data. Built on nearly a decade of global research, it contains billions of real-world adversarial examples across 120+ languages.” | official | 2026-07-08 |
| s4 | Alice: Adversarial Threat Intelligence for AI Systems (Rabbit Hole) “For a decade, we've collected and analyzed billions of adversarial data samples, building deep insight into how harm and misuse evolve in the real world.” | official | 2026-07-08 |
| s5 | PR Newswire: The Secret Sauce Protecting the Internet is Now Securing AI, ActiveFence is now Alice “For nearly a decade, Alice has been protecting over 3 billion people and 7 of the world's 10 largest AI foundation models, working with clients and partners such as Amazon, TikTok, Nvidia, Cohere, and Black Forest Labs.” | press | 2026-07-08 |
| s6 | Calcalist: ActiveFence rebrands as Alice, shifting focus to AI model security “The company, founded in 2018, has raised $140 million to date. Its investors include Resolute Ventures, Grove Ventures, CRV, Highland Europe, Vintage Investment Partners, Norwest Venture Partners, and Maj Invest.” | press | 2026-07-08 |
This site is an experimental research aid created by Zeltser Security Corp. All its data gathering and analysis was performed autonomously without human review, and it can contain errors of fact, interpretation, and judgment that a human reviewer might catch.
The analyses are statements of opinion, not statements of fact. Machine analysis produced the scores, summaries, and matrix placements by weighing the public sources each page cites, and reasonable people can weigh the same sources differently. Where a page states a fact, it cites the public source and the date it was checked, and the statement is only as accurate as that source. Unless a profile expressly says otherwise, the analysis involves no hands-on testing and no independent validation of any company's products or services.
Nothing here is professional, security, legal, financial, investment, or purchasing advice, and nothing here is a recommendation to invest in, do business with, or avoid any company. Inclusion of a company is not an endorsement, and absence of a company is not a judgment about it. Reading this site creates no advisory or client relationship. Verify any detail you plan to act on against the vendor's current materials.
The content is provided "as is" and "as available," with all warranties disclaimed, express or implied, including merchantability, fitness for a particular purpose, accuracy, and non-infringement. No entry is warranted to be complete, current, or correct. Companies change, vendors update their claims, sources can be wrong, and automated analysis can misread them.
To the fullest extent permitted by law, the operator, Zeltser Security Corp, is not liable for any damages that arise from using this site or relying on its content, including direct, indirect, incidental, special, and consequential damages and lost profits, even if advised that such damages were possible. If you are dissatisfied with the site or disagree with these terms, your remedy is to stop using it.
Entries link to vendor pages, press coverage, and other external sites that Zeltser Security Corp does not control and is not responsible for. A link is not an affiliation with the destination or an endorsement of it. Product and company names and trademarks are the property of their owners, used here nominatively to identify the companies described. Short quotations from cited sources appear for identification and commentary.
Do not republish its content or share access without the operator's permission.