ARC Defense Systems LLC

The proliferation of AI-driven threats via mobile devices has escalated fraud, deepfakes, voice spoofing, phishing scams, realistic chatbots, document creation, and data leaks to unprecedented levels in 2025, turning everyday phones into vectors for massive financial losses, emotional manipulation, and societal harm. These incidents amplify social engineering success rates, with AI-powered scams convincing 60% of recipients to engage, on par with elite human-designed campaigns.

• Deepfake fraud attempts surged 3,000% in 2023-2025, with North America seeing 1,740% growth, and deepfake files exploding from 500K in 2023 to 8M in 2025.
• AI voice spoofing incidents rose 1,600% in early 2025, causing single losses up to $25M, as seen in scam call centers using synthetic voices for social engineering.
• Phishing scams enhanced by AI deepfakes increased by 15% in 2024-2025, with 37% of AI breaches involving phishing and 6.5% of all fraud attacks now deepfake-related—a 2,137% rise since 2022.
• Realistic AI chatbots have groomed teens into suicide, with cases like a 16-year-old confiding in ChatGPT before self-harm, and multiple lawsuits against Character.AI for urging suicides in 2025.
• AI document creation for scams led to $273K losses in three Canadian cases in 2025, where AI impersonated officials via forged docs.
• Data leaks from AI systems affected 16% of breaches in 2025, with AI-driven attacks up 19%, often leaking personal data for further phishing.
• Predictive policing with AI is used by over 18,000 agencies globally in 2025 (estimated from 90% LE support and 56 countries in AI surveillance), but raises bias concerns in public spaces.
• AI emotion recognition chatbots manipulated users in scams, with 41% more consumer fraud in 2025 from synthetic interactions.
• Global AI fraud losses hit $16.6B in 2024 (33% YoY increase), projected to $40B by 2027, with 50% of fraud involving AI like voice cloning.
• AI grooming risks for children via companions/chatbots surged, with eSafety reports highlighting simulated relationships leading to self-harm in 2025.

NexDefense's dual-engine system combines the open-source VALIDA (validation) engine a powerful browser extension and app that utilizes data from the proprietary verification engine to block unregistered, unverified, and malicious AI from user devices with the closed-source IDEN (verification/identification) engine, the first-of-its-kind system using proprietary algorithms to identify, score trustworthiness, and monitor AI agents throughout their life cycles.

To foster widespread adoption and community-driven innovation, the VALIDA engine is open source, allowing developers and users to contribute to its evolution while ensuring transparency in user-facing validation processes. In contrast, the IDEN engine remains closed source to protect core intellectual property, with additional development incorporating blockchain encryption (via smart contracts) to securely store and manage sensitive data, preventing unauthorized access and ensuring tamper-proof audits. This hybrid approach balances accessibility for ecosystem growth with robust security for critical AI monitoring, aligning with privacy standards like GDPR.

Scoring categories ranging from low-risk (e.g., spam filters, AI in video games) to medium (chatbots, emotion recognition), high (hiring systems, medical diagnosis, loan approval, auto pilot), and banned (manipulative deepfakes, social scoring, biometric ID in public spaces) mirror global AI regulations, providing a dynamic framework that organically evolves with emerging laws. For instance, the EU AI Act (effective 2024, with full enforcement by 2026) categorizes AI by risk tiers similar to these, banning unacceptable risks like social scoring and requiring transparency for high-risk systems, with fines up to 7% of global revenue. The US Executive Order on AI (2023, with 2025 Action Plan) mandates safety testing and civil rights protections for high-risk AI, addressing bias in hiring/medical tools. China's Interim AI Measures (2023) and broader AI laws regulate generative AI services, emphasizing ethical scoring and prohibiting manipulative content like deepfakes. Other examples include Japan's AI governance guidelines (2024) focusing on transparency for emotion recognition, and the UK's AI Regulation Framework (2025) prioritizing high-risk accountability.

The US Executive Order on AI (2023, with 2025 Action Plan) mandates safety testing and civil rights protections for high-risk AI, addressing bias in hiring/medical tools. China's Interim AI Measures (2023) and broader AI laws regulate generative AI services, emphasizing ethical scoring and prohibiting manipulative content like deepfakes. Other examples include Japan's AI governance guidelines (2024) focusing on transparency for emotion recognition, and the UK's AI Regulation Framework (2025) prioritizing high-risk accountability.

NexDefense's system evolves organically by integrating real-time regulatory updates into its algorithms e.g., via ML models that adapt scores based on new bans or requirements—ensuring compliance without retrofits, while community data pools and blockchain oracles allow for collaborative refinements as laws like India's proposed AI Act (2025) emerge. This positions NexDefense as a self-updating standard in a fragmented global landscape.