ScamAI provides an all-in-one platform for real-time detection of synthetic media, deepfakes, and AI-generated fraud across various formats. Utilizing advanced Eva-v1 models, the service offers industry-leading accuracy to unify trust signals and protect revenue streams. The platform integrates seamlessly via API to verify identities, secure documents, and prevent AI agent scams.
Funding
$200K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
The proliferation of sophisticated AI-generated content, including deepfakes and synthetic media, coupled with evolving social engineering tactics, poses a significant threat to individuals and organizations. These advanced scams can bypass traditional security measures, leading to financial loss, reputational damage, and erosion of trust in digital communications.
Solution
Scam AI offers a comprehensive platform for detecting and preventing AI-driven scams and malicious content. Our solution leverages advanced machine learning models to identify deepfakes, voice clones, and synthetic text across various communication channels like email, SMS, and web links. Beyond detection, our AI Red Teaming services proactively identify vulnerabilities within an organization's security posture by simulating advanced social engineering attacks. This dual approach of detection and proactive defense, supported by a continuously updated ScamDB, aims to safeguard users against emerging digital threats.
Target Audience
Our primary customers are businesses and organizations seeking to protect their digital assets and employees from sophisticated AI-powered scams and social engineering attacks. This includes finance departments, cybersecurity teams, and IT security professionals.
Features
- AI-powered detection engine for deepfakes, voice cloning, and Generative AI content across text, audio, and video.
- Real-time analysis of emails, SMS messages, URLs, and QR codes to identify phishing and scam patterns.
- AI Red Teaming services including social engineering simulations, advanced threat modeling, and vulnerability assessments.
- Continuous security training modules designed to adapt to evolving threat landscapes.
- ScamDB: A proprietary, crowdsourced database of updated scam patterns to enhance AI model accuracy and community defense.
- REST APIs and MCPs for integration with existing fraud detection pipelines and platforms.
- Proactive identification of vulnerabilities in human firewalls and technical infrastructure.