AuthentiScan

Elevator Pitch: Imagine if you could trust every video or image you come across online. AuthentiScan is transforming the fight against digital deception. By unveiling hidden digital fingerprints in deepfakes, we’re restoring trust in media one pixel at a time. Protect your reality with AuthentiScan!

Concept

Cybersecurity software for deepfake detection and digital media verification

Objective

To provide a robust solution for identifying deepfakes and enhancing digital forensics capabilities.

Solution

Developing advanced software that uses machine learning to analyze beta-AC coefficients in digital media for unique discriminative fingerprints indicating forgeries.

Revenue Model

Subscription-based for enterprises, pay-per-use for smaller businesses and individual consumers, and licensing technology to cybersecurity providers.

Target Market

Cybersecurity services for social media platforms, news outlets, legal entities, security agencies, and private consumers concerned about digital media authenticity.

Expansion Plan

Initial focus on high-risk sectors such as politics and journalism, followed by expansion into personal security and entertainment. Potential to partner with hardware manufacturers for integrated solutions.

Potential Challenges

Keeping up with evolving deepfake technology, ensuring software can handle large volumes of data, and managing false positives/negatives.

Customer Problem

The growing spread of deepfakes creating distrust in digital media and the need for a reliable way to verify content authenticity.

Regulatory and Ethical Issues

Compliance with global data protection regulations (like GDPR), ensuring privacy of scanned content, and defining ethical guidelines for deepfake detection.

Disruptiveness

Providing a novel approach to deepfake detection that optimizes accuracy by identifying generation model traces, which could shift industry standards for digital media authentication.