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ActiveFence Ltd

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alice.ioRamat Gan, IsraelUpdated

AI 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.

Read recently by Meta

What we offer

WonderSuite

Deliver comprehensive AI risk management with seamless monitoring and enforcement.

Pricing not published

alice.io/products/platform

Who 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

1.1 Billion USD13.84% CAGR

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

3.3 Billion USD30% CAGR

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

5.2 Billion USD10.5% CAGR

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

10 Billion USD12.5% CAGR

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 Coverage
    Ensures AI applications can operate safely in diverse markets without language barriers.
  • Enables Proactive Risk Management
    Identifies vulnerabilities as they arise in real-time, ensuring persistent oversight of AI systems.
  • Identifies Pre-Launch Risks
    Addresses vulnerabilities proactively, ensuring AI systems are secure prior to public deployment.
  • Protects User Interactions
    Prevents harmful content from reaching users, enhancing trust and safety.
  • Support Governance And Launch Approvals
    Documentation from rigorous testing to ensure that all deployments meet necessary regulatory and compliance standards.
  • Surface Security Vulnerabilities
    Employs extensive testing scenarios that mimic potential real-world exploitation to identify weaknesses before they can be leveraged by malicious actors.
  • Minimize Latency
    Ensure user experience is not hindered while enforcing safety protocols in real time.
  • Tailor Guardrails
    Customize safety measures according to specific application needs and compliance standards.
  • Intercept In Real-Time
    Proactively block harmful interactions before they reach end users, maintaining safety and compliance.
  • Enhances Model Resilience
    Utilizes diverse adversarial data to improve AI systems against potential exploitation and risks.
  • Identify Vulnerabilities Early
    By simulating real-world adversarial scenarios, Alice identifies and mitigates weaknesses in models during the development phase, enabling confident deployments.
  • Safeguard AI Outputs
    Alice’s guardrails continuously assess system inputs and outputs, ensuring they align with compliance requirements and safety protocols in real-time.
  • Simulate Real-World Threats
    This feature allows organizations to continuously assess the resilience of their AI applications against evolving attack vectors, ensuring robust defenses are in place.
  • Identifies Vulnerabilities Early
    By scanning AI skills before execution, this feature reduces the risk of vulnerabilities affecting production systems, enhancing overall security and user trust.
  • Facilitates Regulatory Compliance
    Supports organizations in maintaining documentation and compliance with evolving legislation.
  • Rank Findings And Map To Regulations
    Every finding is organized by criticality, ensuring that responses are efficient and effective in addressing compliance needs.
  • Continuous Monitoring
    Allows for proactive management of emerging risks after deployment, adapting to new threats as they arise.
  • Ensures Compliance Accountability
    Facilitates adherence to regulations and internal policies through detailed audits and verifiable testing results.
  • Maintain Model Accuracy
    Regular monitoring and updates prevent regression and ensure that model performance remains reliable and compliant over time.
  • Fortify Against Real-World Risks
    Leveraging extensive adversarial research, Alice continuously evolves its defensive strategies to counter sophisticated attack vectors in real-time.
  • Surface Harmful Content Early
    ActiveFence provides real-time alerts to help platforms address threats like child safety violations and misinformation before they escalate.
  • Ensures Program Integrity
    This integration allows for a seamless transition from natural language specifications to secure executions, validating compliance with organizational policies.
  • Incorporates Real-World Threat Data
    Aligns security measures with actual adversarial tactics for enhanced protection.
  • Improve Security Posture
    Actionable insights based on test results to help teams strengthen their systems proactively.
  • Ensure Ongoing Safety
    Regularly updates and evaluates the effectiveness of guardrails in a live environment.
  • Ensure Regulatory Compliance
    Alice facilitates alignment with global standards and regulations, ensuring organizations can deploy AI solutions without risking compliance violations.
  • Promotes Effective Training Environments
    Simulates real-world scenarios to expose vulnerabilities and strengthen AI models against adversarial attacks.
  • Ensure Ongoing Compliance
    By regularly reviewing AI system behavior and conducting assessments, organizations can adapt to new threats and maintain compliance with evolving regulations.
  • Enhance Detection Accuracy
    ActiveFence delivers insights based on extensive data analysis, enabling quicker and more informed responses to potential threats.
  • Maintains Ongoing Compliance
    Real-time assessments help businesses adapt to new threats and regulations, ensuring that AI systems remain secure throughout their lifecycle.
  • Protects Against Emerging Threats
    Ensures ongoing safety and governance by adapting to new adversarial tactics and model updates.
  • Align with Regulatory Standards
    These tools help organizations ensure their AI practices align with industry regulations, providing a framework for responsible AI deployment.
  • Implement Tailored Governance
    ActiveFence allows platforms to set specific parameters for content moderation, ensuring compliance with evolving regulations.
  • Utilizes Adversarial Data
    This feature strengthens detection rules with insights drawn from a decade of adversarial data, improving accuracy in identifying potential threats.
  • Leverage Human Expertise
    ActiveFence 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.

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.

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