DeepFAIC
DeepFAIC provides real-time authenticity verification for synthetic media across voice, video, image, text, and AI agents, embedding detection directly into enterprise workflows. The platform scans web content for AI-generated material that could damage brands or enable scams, enabling rapid takedowns. Built on 15 million unique training samples, it addresses the $1.03 trillion lost to financial scams annually.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Software Only
Funding
Founders
Product
Problem
Generative AI has commoditized the creation of realistic synthetic media, enabling attackers to fabricate believable voice, video, and identity content without needing system access. Traditional security validates users and devices but does not verify whether content itself is authentic, leaving enterprises vulnerable to deepfake-driven scams, fraud, and reputational damage.
Solution
DeepFAIC closes this security gap by providing real-time authenticity verification for voice, video, image, text, and AI agents, embedded directly into enterprise workflows. Unlike post-event forensic tools or single-modality detectors, the platform continuously validates content as it flows through business processes, flagging synthetic media before decisions are made on unverified information. The system monitors web platforms for AI-generated content targeting brands and executives, alerting firms to reputational risks and enabling fast takedowns. By integrating into existing workflows, DeepFAIC ensures that trust is extended to content itself, not just to users and devices.
Target Audience
Primary customers are enterprise security teams, brand protection departments, and financial institutions that need to verify content authenticity in real time to prevent deepfake-driven fraud and reputational damage.
Features
- Real-time detection across five modalities: video, audio, images, text, and AI agents
- Web-wide brand and executive monitoring for AI-generated content and third-party deepfake scams
- Automated alerting and takedown workflow support for reputational risk management
- Trained on 15 million+ unique samples for high-accuracy synthetic media identification
- Enterprise workflow embedding for continuous, in-line content verification rather than batch forensics