Alice (formerly ActiveFence)
Israeli AI security company (rebranded from ActiveFence in January 2026) offering a lifecycle platform to test, guard, and monitor large language models against jailbreaks and prompt injection.
Visit Website ↗ + Add to CompareOverview
Alice is the January 2026 rebrand of ActiveFence, an Israeli trust-and-safety company founded in 2018 that spent its first several years protecting social platforms from harmful content — CSAM, extremism, disinformation, fraud — by scanning the open, deep, and dark web for emerging threats. As enterprise and consumer platforms began deploying large language models, ActiveFence found the same adversarial actors turning their attention to jailbreaking and manipulating AI systems, and demand from large model providers pushed the company to build a dedicated AI security line before rebranding entirely around it.
The company’s current product, WonderSuite, covers the AI deployment lifecycle in three parts: WonderBuild tests models pre-launch for jailbreak susceptibility and unsafe outputs, WonderFence enforces runtime guardrails against prompt injection and adversarial inputs, and WonderCheck monitors production traffic for drift and emerging abuse patterns. All three are fed by Rabbit Hole, the company’s adversarial intelligence pipeline that traces back to its original trust-and-safety threat-hunting operation.
Alice says it protects seven of the world’s ten largest AI foundation models and lists Amazon, TikTok, Nvidia, Cohere, and Black Forest Labs among its customers and partners. In January 2026 the company closed a $140 million round led by Apax Digital Funds, bringing total funding to $280 million at a valuation near $1 billion — a large raise for a company still in the early stages of its AI-security pivot.
What sets Alice apart from AI red-teaming startups built from scratch is the years of real adversarial content intelligence it inherited from ActiveFence’s original business, rather than purely synthetic or academic attack generation. That said, the company’s platform and customer roster for the AI-security line specifically are new enough that independent, named case studies of WonderFence or WonderCheck in production are not yet widely available.
Innovation Matrix Assessment
Alice shipped a full three-part AI lifecycle platform (WonderBuild, WonderFence, WonderCheck) within roughly a year of pivoting away from pure trust-and-safety work, reflecting fast product build-out once the company committed to AI security.
The company carries eight years of operating history and roughly 400 employees from its ActiveFence trust-and-safety business, giving it engineering and operational depth most AI-security pure-plays lack, even though the AI-security product line itself is new.
A $140 million round led by Apax Digital Funds in January 2026 brought total funding to $280 million at a valuation near $1 billion, a strong, independently reported momentum signal for a company only months into its AI-security rebrand.
Feeding AI guardrails with real adversarial content intelligence harvested from years of trust-and-safety threat hunting (rather than purely synthetic red-teaming) is a genuine differentiator versus AI-security startups built from a blank slate.
The 'protects 7 of the world's 10 largest AI foundation models' figure and the Amazon/TikTok/Nvidia/Cohere/Black Forest Labs customer list are vendor-stated; no independent third-party benchmark or named production case study of WonderFence's guardrail efficacy was found.
Prompt injection and jailbreak risk in deployed LLMs is a top-tier concern for CISOs adopting generative AI in 2026, and Alice's customer base of major platforms signals the problem is being taken seriously at scale.
Why CISOs Should Care
Alice gives CISOs a single platform to test, guard, and monitor LLM deployments across their lifecycle, covering prompt injection and jailbreak risk that traditional application security tooling was not built to catch.
What Makes It Different
Unlike AI red-teaming startups built from scratch, Alice's guardrails are informed by years of real adversarial content intelligence gathered from its original trust-and-safety business protecting billions of social platform users.
The Matrix Verdict
75/100 — MEANINGFUL INNOVATOR
A well-funded, operationally mature entrant into AI model security with a credible technical differentiator in its threat-intelligence lineage, though independent efficacy validation beyond vendor-supplied customer counts is still thin.
Editorial Note: Claims vs. Verified Findings
The customer list (Amazon, TikTok, Nvidia, Cohere, Black Forest Labs) and the 'protects 7 of the world's 10 largest AI foundation models' figure are vendor-stated and not independently confirmed via named case studies. The January 2026 rebrand, the $140M round, and the $280M total/~$1B valuation are independently corroborated by multiple trade press outlets (Calcalist, PR Newswire, GroveVC investor blog, Cybersecurity News).
Sources
Alternatives to Alice (formerly ActiveFence)
Adaptive Security
AI-driven platform that simulates deepfake, voice, and multichannel social-engineering attacks to train and test organizations against next-generation phishing.
Quilr
Early-stage agentic AI security startup building a 'Service-as-Software' platform to guard against human-related breaches and secure AI agent…
Tenzai
An agentic AI penetration testing startup building autonomous 'AI hackers' to find and validate exploitable vulnerabilities at a…
Zenity
Governance and security platform for AI agents and low-code/no-code development, securing agent identity, permissions and behavior across the…
Charm Security
Agentic AI workforce that investigates and intervenes on scams and fraud in real time, reading manipulation and intent…
Reco
Reco secures the "agentic ecosystem" — mapping what AI agents can access across SaaS and enterprise apps, detecting…