{"schemaVersion":1,"profileUrl":"https://nowen.ai/agents/alice-io","markdownUrl":"https://nowen.ai/agents/alice-io.md","jsonUrl":"https://nowen.ai/agents/alice-io.json","name":"ActiveFence Ltd","nickname":"Alice","website":"https://alice.io","location":"Ramat Gan, Israel","address":{"city":"Ramat Gan","country":"Israel"},"status":{"verified":false,"text":"Unclaimed: compiled by Nowen from public sources, not reviewed by the company"},"updatedAt":"2026-09-28T12:03:49.596Z","summary":"AI safety and trust platform helping enterprises protect users and systems from online threats at scale.","description":"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":"Keeping AI safe, secure, and reliable.","aiReaderFamilies":["Anthropic","Meta"],"products":[{"name":"WonderSuite","type":"Platform","url":"https://alice.io/products/platform","summary":"Deliver comprehensive AI risk management with seamless monitoring and enforcement.","description":"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":{"text":"Pricing not published"},"features":[{"name":"Multi-language risk coverage","value":"Provides Global Coverage","valueDescription":"Ensures AI applications can operate safely in diverse markets without language barriers."},{"name":"Ongoing production testing","value":"Enables Proactive Risk Management","valueDescription":"Identifies vulnerabilities as they arise in real-time, ensuring persistent oversight of AI systems."},{"name":"Pre-launch red-teaming","value":"Identifies Pre-Launch Risks","valueDescription":"Addresses vulnerabilities proactively, ensuring AI systems are secure prior to public deployment."},{"name":"Real-time guardrails","value":"Protects User Interactions","valueDescription":"Prevents harmful content from reaching users, enhancing trust and safety."},{"name":"Launch Readiness Evidence","value":"Support Governance And Launch Approvals","valueDescription":"Documentation from rigorous testing to ensure that all deployments meet necessary regulatory and compliance standards."},{"name":"Real-World Attack Simulations","value":"Surface Security Vulnerabilities","valueDescription":"Employs extensive testing scenarios that mimic potential real-world exploitation to identify weaknesses before they can be leveraged by malicious actors."},{"name":"Low-latency enforcement","value":"Minimize Latency","valueDescription":"Ensure user experience is not hindered while enforcing safety protocols in real time."},{"name":"Policy-driven customization","value":"Tailor Guardrails","valueDescription":"Customize safety measures according to specific application needs and compliance standards."},{"name":"Real-time input/output guardrails","value":"Intercept In Real-Time","valueDescription":"Proactively block harmful interactions before they reach end users, maintaining safety and compliance."},{"name":"Adversarial Data Library","value":"Enhances Model Resilience","valueDescription":"Utilizes diverse adversarial data to improve AI systems against potential exploitation and risks."},{"name":"Pre-Launch Adversarial Testing","value":"Identify Vulnerabilities Early","valueDescription":"By simulating real-world adversarial scenarios, Alice identifies and mitigates weaknesses in models during the development phase, enabling confident deployments."},{"name":"Dynamic Runtime Guardrails","value":"Safeguard AI Outputs","valueDescription":"Alice’s guardrails continuously assess system inputs and outputs, ensuring they align with compliance requirements and safety protocols in real-time."},{"name":"Automated Red-Teaming","value":"Simulate Real-World Threats","valueDescription":"This feature allows organizations to continuously assess the resilience of their AI applications against evolving attack vectors, ensuring robust defenses are in place."},{"name":"AI Skills Scanner","value":"Identifies Vulnerabilities Early","valueDescription":"By scanning AI skills before execution, this feature reduces the risk of vulnerabilities affecting production systems, enhancing overall security and user trust."},{"name":"Policy-driven governance","value":"Facilitates Regulatory Compliance","valueDescription":"Supports organizations in maintaining documentation and compliance with evolving legislation."},{"name":"Prioritized Remediation And Regulatory Mapping","value":"Rank Findings And Map To Regulations","valueDescription":"Every finding is organized by criticality, ensuring that responses are efficient and effective in addressing compliance needs."},{"name":"Real-Time Guardrails Integration","value":"Continuous Monitoring","valueDescription":"Allows for proactive management of emerging risks after deployment, adapting to new threats as they arise."},{"name":"Auditable Verification","value":"Ensures Compliance Accountability","valueDescription":"Facilitates adherence to regulations and internal policies through detailed audits and verifiable testing results."},{"name":"Ongoing Drift Detection","value":"Maintain Model Accuracy","valueDescription":"Regular monitoring and updates prevent regression and ensure that model performance remains reliable and compliant over time."},{"name":"Advanced Adversarial Intelligence","value":"Fortify Against Real-World Risks","valueDescription":"Leveraging extensive adversarial research, Alice continuously evolves its defensive strategies to counter sophisticated attack vectors in real-time."},{"name":"Real-Time Alerts","value":"Surface Harmful Content Early","valueDescription":"ActiveFence provides real-time alerts to help platforms address threats like child safety violations and misinformation before they escalate."},{"name":"Integration with Mellea Compiler","value":"Ensures Program Integrity","valueDescription":"This integration allows for a seamless transition from natural language specifications to secure executions, validating compliance with organizational policies."},{"name":"Real-world risk coverage","value":"Incorporates Real-World Threat Data","valueDescription":"Aligns security measures with actual adversarial tactics for enhanced protection."},{"name":"Detailed Remediation Guidance","value":"Improve Security Posture","valueDescription":"Actionable insights based on test results to help teams strengthen their systems proactively."},{"name":"Continuous monitoring and evaluation","value":"Ensure Ongoing Safety","valueDescription":"Regularly updates and evaluates the effectiveness of guardrails in a live environment."},{"name":"Comprehensive Compliance Support","value":"Ensure Regulatory Compliance","valueDescription":"Alice facilitates alignment with global standards and regulations, ensuring organizations can deploy AI solutions without risking compliance violations."},{"name":"High-Fidelity Simulations","value":"Promotes Effective Training Environments","valueDescription":"Simulates real-world scenarios to expose vulnerabilities and strengthen AI models against adversarial attacks."},{"name":"Continuous Monitoring","value":"Ensure Ongoing Compliance","valueDescription":"By regularly reviewing AI system behavior and conducting assessments, organizations can adapt to new threats and maintain compliance with evolving regulations."},{"name":"Comprehensive Data Analysis","value":"Enhance Detection Accuracy","valueDescription":"ActiveFence delivers insights based on extensive data analysis, enabling quicker and more informed responses to potential threats."},{"name":"Real-time Risk Assessment","value":"Maintains Ongoing Compliance","valueDescription":"Real-time assessments help businesses adapt to new threats and regulations, ensuring that AI systems remain secure throughout their lifecycle."},{"name":"Continuous Monitoring","value":"Protects Against Emerging Threats","valueDescription":"Ensures ongoing safety and governance by adapting to new adversarial tactics and model updates."},{"name":"Tailored Governance Tools","value":"Align with Regulatory Standards","valueDescription":"These tools help organizations ensure their AI practices align with industry regulations, providing a framework for responsible AI deployment."},{"name":"Customizable Policy Enforcement","value":"Implement Tailored Governance","valueDescription":"ActiveFence allows platforms to set specific parameters for content moderation, ensuring compliance with evolving regulations."},{"name":"Built-in Threat Intelligence","value":"Utilizes Adversarial Data","valueDescription":"This feature strengthens detection rules with insights drawn from a decade of adversarial data, improving accuracy in identifying potential threats."},{"name":"Expert Consulting","value":"Leverage Human Expertise","valueDescription":"ActiveFence offers consulting services that include threat assessments and tailored strategies for improved platform safety."}]}],"audiences":[{"title":"Large Online Platforms And Marketplaces","description":"Large online platforms needing safety, governance, and risk monitoring.","industries":["Online Platforms","Social Networks","Marketplaces","AI Service Providers"],"geography":"North America, Europe, Asia-Pacific","painPoints":"Platform abuse, content policy violations, regulatory compliance, risk drift","businessGoals":"Scale safe operations, improve trust, pass audits","positioningStatement":"A comprehensive safety and governance solution helps platforms prevent abuse, enforce policies, and maintain regulatory readiness across AI-enabled ecosystems."},{"title":"Regulated Enterprises Implementing Responsible AI","description":"Regulated enterprises requiring governance, audit trails, and risk controls for AI.","industries":["Financial Services","Healthcare"],"geography":"North America, Europe, Asia-Pacific","painPoints":"Regulatory scrutiny, audit readiness, data privacy, vendor risk","businessGoals":"Maintain compliance, reduce regulatory risk, streamline audits","positioningStatement":"Governance and risk-mitigation capabilities to help regulated organizations demonstrate compliance, accelerate audits, and securely deploy AI."},{"title":"GenAI Platform Builders And AI Service Providers","description":"GenAI platform builders needing safety, testing, and governance across AI lifecycles.","industries":["Technology","AI","Software as a Service"],"geography":"Global","painPoints":"Adversarial risk in development, policy enforcement across dev and prod, regulatory alignment","businessGoals":"Deliver safe AI features, reduce misuse, maintain trust","positioningStatement":"A safety and governance platform enabling rapid, secure AI feature development with continuous testing and auditable governance."}],"segments":[{"name":"Adversarial testing and threat modeling","description":"Offensive testing, red-team assessments, and threat modeling applied to applications and AI/ML systems to identify vulnerabilities, attack vectors, and remediation guidance.","size":1.1,"cagr":13.84,"color":1,"productNames":["WonderSuite"],"methodology":"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.","citations":[{"url":"https://boon.ai/agents/mindgard-ai","text":"Market size: $1.1B CAGR: 13.84%"},{"url":"https://www.360iresearch.com/library/intelligence/continuous-automated-red-teaming","text":"Base year USD 646.63 million (2025); Compound annual growth 33.47%"},{"url":"https://www.datamintelligence.com/research-report/ai-model-risk-management-market","text":"The global AI Model Risk Management market reached US$ 6.43 billion in 2025; CAGR (2026-2035) 16.2%"}]},{"name":"Runtime AI protection","description":"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.","size":3.3,"cagr":30,"color":2,"productNames":["WonderSuite"],"methodology":"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.","citations":[{"url":"https://www.researchnester.com/reports/runtime-application-self-protection-rasp-market/4122","text":"In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-trust-risk-security-management-trism-market-8112669.html","text":"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%."},{"url":"https://www.marketgrowthreports.com/market-reports/runtime-application-self-protection-market-100658","text":"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%."}]},{"name":"Audit-ready testing and compliance","description":"Features that produce audit-ready test evidence, governance dashboards, and automated defect workflows to support regulatory and internal audit requirements.","size":5.2,"cagr":10.5,"color":3,"productNames":["WonderSuite"],"methodology":"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%.","citations":[{"url":"https://www.futuremarketinsights.com/reports/compliance-testing-solutions-market","text":"\"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%.\""},{"url":"https://www.marketresearchfuture.com/reports/audit-software-market-9577","text":"\"2024 Market Size$ 1.27 Billion\"; \"CAGR (2025 - 2035)11.32%\""}]},{"name":"Threat intelligence and security analytics","description":"Autonomous threat intelligence, adversary insights, and security analytics to inform detection rules, incident investigations, and proactive defenses.","size":10,"cagr":12.5,"color":4,"productNames":["WonderSuite"],"methodology":"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.","citations":[]}],"faq":[],"comparisons":[],"sources":[{"url":"https://alice.io","text":"ActiveFence Ltd"},{"url":"https://alice.io/products/platform","text":"WonderSuite"},{"url":"https://boon.ai/agents/mindgard-ai","text":"Market size: $1.1B CAGR: 13.84%"},{"url":"https://www.360iresearch.com/library/intelligence/continuous-automated-red-teaming","text":"Base year USD 646.63 million (2025); Compound annual growth 33.47%"},{"url":"https://www.datamintelligence.com/research-report/ai-model-risk-management-market","text":"The global AI Model Risk Management market reached US$ 6.43 billion in 2025; CAGR (2026-2035) 16.2%"},{"url":"https://www.researchnester.com/reports/runtime-application-self-protection-rasp-market/4122","text":"In the year 2026, the industry size of runtime application self-protection is evaluated at USD 3.47 billion."},{"url":"https://www.marketsandmarkets.com/Market-Reports/ai-trust-risk-security-management-trism-market-8112669.html","text":"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%."},{"url":"https://www.marketgrowthreports.com/market-reports/runtime-application-self-protection-market-100658","text":"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%."},{"url":"https://www.futuremarketinsights.com/reports/compliance-testing-solutions-market","text":"\"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%.\""},{"url":"https://www.marketresearchfuture.com/reports/audit-software-market-9577","text":"\"2024 Market Size$ 1.27 Billion\"; \"CAGR (2025 - 2035)11.32%\""}]}