ActiveFence Ltd
UnclaimedAI safety and trust platform helping enterprises protect users and systems from online threats at scale.
Overview
ActiveFence Ltd, doing business as Alice, is a safety, trust and safety company that helps enterprise platforms protect users and systems from AI-enabled and online threats. The company collects and analyzes adversarial data across languages and contexts to understand risk, provides continuous monitoring and testing capabilities, and offers governance, guardrails, and red-teaming to prevent misuse, content violations, and security breaches. Its audience includes large online platforms, social networks, marketplaces, and enterprises deploying GenAI and AI-powered services. The organization emphasizes safety, reliability, and accountability, with a focus on preventing abuse, ensuring compliance with emerging regulations, and enabling responsible AI deployments. Since 2018, Alice has built a global practice around adversarial intelligence and AI safety, delivering breadth of coverage across trust and safety, security, and governance.
Mission statement
Keeping AI safe, secure, and reliable.
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What we offer
WonderSuite
Deliver comprehensive AI risk management with seamless monitoring and enforcement.
Pricing not published
alice.io/products/platformWho do we serve
Large Online Platforms And Marketplaces
Large online platforms needing safety, governance, and risk monitoring.
Geography: North America, Europe, Asia-Pacific
Pain points: Platform abuse, content policy violations, regulatory compliance, risk drift
Goals: Scale safe operations, improve trust, pass audits
Positioning: A comprehensive safety and governance solution helps platforms prevent abuse, enforce policies, and maintain regulatory readiness across AI-enabled ecosystems.
Regulated Enterprises Implementing Responsible AI
Regulated enterprises requiring governance, audit trails, and risk controls for AI.
Geography: North America, Europe, Asia-Pacific
Pain points: Regulatory scrutiny, audit readiness, data privacy, vendor risk
Goals: Maintain compliance, reduce regulatory risk, streamline audits
Positioning: Governance and risk-mitigation capabilities to help regulated organizations demonstrate compliance, accelerate audits, and securely deploy AI.
GenAI Platform Builders And AI Service Providers
GenAI platform builders needing safety, testing, and governance across AI lifecycles.
Geography: Global
Pain points: Adversarial risk in development, policy enforcement across dev and prod, regulatory alignment
Goals: Deliver safe AI features, reduce misuse, maintain trust
Positioning: A safety and governance platform enabling rapid, secure AI feature development with continuous testing and auditable governance.
Market segments
Market size by segment
Growth potential (CAGR)
Adversarial testing and threat modeling
Offensive testing, red-team assessments, and threat modeling applied to applications and AI/ML systems to identify vulnerabilities, attack vectors, and remediation guidance.
Products: WonderSuite
Runtime AI protection
Real-time threat detection and context-aware enforcement for AI applications and autonomous agents to prevent prompt injection, data leakage, and unsafe actions with low-latency inline protections and runtime guardrails.
Products: WonderSuite
Audit-ready testing and compliance
Features that produce audit-ready test evidence, governance dashboards, and automated defect workflows to support regulatory and internal audit requirements.
Products: WonderSuite
Threat intelligence and security analytics
Autonomous threat intelligence, adversary insights, and security analytics to inform detection rules, incident investigations, and proactive defenses.
Products: WonderSuite
More information about our offering
WonderSuite
WonderSuite is the AI security platform that provides the full Wonder family of products for GenAI trust, safety, and security. It unifies automated red-teaming, dynamic runtime guardrails, and ongoing production testing across the AI lifecycle. The platform enables discovery and remediation of risks before launch, real-time enforcement of guardrails in production, and continual evaluation to detect drift and new threats. It integrates an adversarial intelligence core powered by Rabbit Hole data to align testing with real-world attacker behavior. WonderSuite supports governance, policy enforcement, and audit-ready evidence to help regulated organizations deploy AI responsibly in financial services, healthcare, and other industries.
Pricing not published
- Provides Global CoverageEnsures AI applications can operate safely in diverse markets without language barriers.
- Enables Proactive Risk ManagementIdentifies vulnerabilities as they arise in real-time, ensuring persistent oversight of AI systems.
- Identifies Pre-Launch RisksAddresses vulnerabilities proactively, ensuring AI systems are secure prior to public deployment.
- Protects User InteractionsPrevents harmful content from reaching users, enhancing trust and safety.
- Support Governance And Launch ApprovalsDocumentation from rigorous testing to ensure that all deployments meet necessary regulatory and compliance standards.
- Surface Security VulnerabilitiesEmploys extensive testing scenarios that mimic potential real-world exploitation to identify weaknesses before they can be leveraged by malicious actors.
- Minimize LatencyEnsure user experience is not hindered while enforcing safety protocols in real time.
- Tailor GuardrailsCustomize safety measures according to specific application needs and compliance standards.
- Intercept In Real-TimeProactively block harmful interactions before they reach end users, maintaining safety and compliance.
- Enhances Model ResilienceUtilizes diverse adversarial data to improve AI systems against potential exploitation and risks.
- Identify Vulnerabilities EarlyBy simulating real-world adversarial scenarios, Alice identifies and mitigates weaknesses in models during the development phase, enabling confident deployments.
- Safeguard AI OutputsAlice’s guardrails continuously assess system inputs and outputs, ensuring they align with compliance requirements and safety protocols in real-time.
- Simulate Real-World ThreatsThis feature allows organizations to continuously assess the resilience of their AI applications against evolving attack vectors, ensuring robust defenses are in place.
- Identifies Vulnerabilities EarlyBy scanning AI skills before execution, this feature reduces the risk of vulnerabilities affecting production systems, enhancing overall security and user trust.
- Facilitates Regulatory ComplianceSupports organizations in maintaining documentation and compliance with evolving legislation.
- Rank Findings And Map To RegulationsEvery finding is organized by criticality, ensuring that responses are efficient and effective in addressing compliance needs.
- Continuous MonitoringAllows for proactive management of emerging risks after deployment, adapting to new threats as they arise.
- Ensures Compliance AccountabilityFacilitates adherence to regulations and internal policies through detailed audits and verifiable testing results.
- Maintain Model AccuracyRegular monitoring and updates prevent regression and ensure that model performance remains reliable and compliant over time.
- Fortify Against Real-World RisksLeveraging extensive adversarial research, Alice continuously evolves its defensive strategies to counter sophisticated attack vectors in real-time.
- Surface Harmful Content EarlyActiveFence provides real-time alerts to help platforms address threats like child safety violations and misinformation before they escalate.
- Ensures Program IntegrityThis integration allows for a seamless transition from natural language specifications to secure executions, validating compliance with organizational policies.
- Incorporates Real-World Threat DataAligns security measures with actual adversarial tactics for enhanced protection.
- Improve Security PostureActionable insights based on test results to help teams strengthen their systems proactively.
- Ensure Ongoing SafetyRegularly updates and evaluates the effectiveness of guardrails in a live environment.
- Ensure Regulatory ComplianceAlice facilitates alignment with global standards and regulations, ensuring organizations can deploy AI solutions without risking compliance violations.
- Promotes Effective Training EnvironmentsSimulates real-world scenarios to expose vulnerabilities and strengthen AI models against adversarial attacks.
- Ensure Ongoing ComplianceBy regularly reviewing AI system behavior and conducting assessments, organizations can adapt to new threats and maintain compliance with evolving regulations.
- Enhance Detection AccuracyActiveFence delivers insights based on extensive data analysis, enabling quicker and more informed responses to potential threats.
- Maintains Ongoing ComplianceReal-time assessments help businesses adapt to new threats and regulations, ensuring that AI systems remain secure throughout their lifecycle.
- Protects Against Emerging ThreatsEnsures ongoing safety and governance by adapting to new adversarial tactics and model updates.
- Align with Regulatory StandardsThese tools help organizations ensure their AI practices align with industry regulations, providing a framework for responsible AI deployment.
- Implement Tailored GovernanceActiveFence allows platforms to set specific parameters for content moderation, ensuring compliance with evolving regulations.
- Utilizes Adversarial DataThis feature strengthens detection rules with insights drawn from a decade of adversarial data, improving accuracy in identifying potential threats.
- Leverage Human ExpertiseActiveFence offers consulting services that include threat assessments and tailored strategies for improved platform safety.
Sources
Methodology and sourcing behind the figures and links shown above.
Adversarial testing and threat modeling
Estimate anchored to a segment-specific synthesis (Boon.ai) that places adversarial testing and threat-modeling at about $1.1B with ~13.84% CAGR; corroborated by adjacent submarket figures: continuous automated red teaming (USD 646.63M in 2025, high CAGR) and the broader AI model risk-management market (USD 6.43B in 2025, ~16.2% CAGR), which provide context for scale and growth trajectory.
Runtime AI protection
Estimate based on recent market reports for runtime application self-protection (RASP) and AI TRiSM/runtime protection. ResearchNester and MarketsandMarkets place the RASP/AI TRiSM market around $3.1–3.5B in 2026; MarketsandMarkets calls out ~30%+ CAGR for AI TRiSM and 33.1% for AI security & runtime protection. A midpoint current-size (~$3.3B) and a high-growth CAGR (~30%) reflect the segment’s alignment with rapid AI/agent adoption and cited subsegment growth rates, while acknowledging lower RASP estimates (≈18.9% CAGR) in some reports.
- In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion.
- The AI TRiSM market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, at a CAGR of 30.3%.
- Global runtime application self-protection market Size Expected to Grow from USD 874.26 million in 2026 to USD 4180.89 million by 2035, at a CAGR of 18.9%.
Audit-ready testing and compliance
Estimated by treating "audit-ready testing and compliance" as a meaningful subset of the broader compliance testing solutions and audit software markets. Future Market Insights reports the compliance testing solutions market at USD 20.79B (2025) with a 10.0% CAGR; audit software is a narrower adjacent market (~USD 1.27B in 2024). To avoid double-counting, I conservatively assume audit-ready features represent roughly 25% of the compliance testing solutions market (≈USD 5.2B) and that growth will track between the compliance testing (10.0% CAGR) and audit software (≈11.3% CAGR) forecasts, yielding an estimated CAGR of ~10.5%.
Threat intelligence and security analytics
Search results provided definitions and threat-assessment context but contained no market-size or CAGR data. Using internal market knowledge: threat intelligence plus security analytics (SIEM/UEBA/analytics, threat feeds, advisory and managed services, XDR integrations) is a niche subset of the broader cybersecurity market. Historical estimates place standalone TI and security-analytics segments in the mid-single-digit billions; SIEM/security-analytics and managed detection combine to reach low-double-digit billions. Assuming inclusion of software, services and managed offerings (but excluding total enterprise security spend), a conservative current market size estimate is ~$10B. Growth potential is higher than overall IT spending due to increased cloud adoption, AI-enabled analytic demand, and rising incident response needs; estimated CAGR ~12.5%. Key assumptions: market includes commercial threat intelligence products, security-analytics platforms, data feeds, professional services and managed detection; geography: global.
- ActiveFence Ltd
- WonderSuite
- Market size: $1.1B CAGR: 13.84%
- Base year USD 646.63 million (2025); Compound annual growth 33.47%
- The global AI Model Risk Management market reached US$ 6.43 billion in 2025; CAGR (2026-2035) 16.2%
- In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion.
- The AI TRiSM market is projected to grow from USD 3.09 billion in 2026 to USD 11.61 billion by 2031, at a CAGR of 30.3%.
- Global runtime application self-protection market Size Expected to Grow from USD 874.26 million in 2026 to USD 4180.89 million by 2035, at a CAGR of 18.9%.
- "projected to grow from USD 20,786.4 million in 2025 to USD 53,914.5 million by 2035, at a CAGR of 10.0%."
- "2024 Market Size$ 1.27 Billion"; "CAGR (2025 - 2035)11.32%"
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