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Description
Deepfakes represent a formidable challenge that AI poses to humanity, marking a significant turning point in cybersecurity. The industry must act swiftly to address the threats posed by deepfakes, as their potential to erode public trust in what is real looms large. This emerging danger, characterized by the malicious deployment of AI-generated synthetic media, stands as one of the most potent cyber weapons we have encountered to date. We anticipate that harmful applications of deepfakes will soon manifest, particularly in the form of sophisticated phishing attacks. A critical obstacle remains the current inadequacy of legitimate voice-swapping technologies, which presents a far greater risk than the more commonly discussed face or head-swapping methods. With the rapid advancement of AI, the need for robust countermeasures has never been more urgent.
Description
Intel has developed the FakeCatcher deepfake detection technology, which evaluates the “blood flow” in video pixels to quickly assess the authenticity of a video in mere milliseconds. This system is seamlessly integrated into editing software widely used by content creators and broadcasters, allowing for effective detection of manipulated content during the editing process. Furthermore, it serves a critical role in screening user-generated content, ensuring that authenticity checks are part of the upload process. By providing a universally accessible platform for deepfake detection, it empowers individuals and organizations alike to verify the legitimacy of videos with ease. Deepfakes represent synthetic media that distort reality, presenting actors and actions that are fabricated. While many deep learning-based detection systems examine raw data to identify inconsistencies and flaws, FakeCatcher takes a different approach by searching for genuine indicators of authenticity within real footage, focusing on the minuscule evidence of human traits—such as the subtle variations in pixel color caused by blood circulation. When the heart pumps, the color of our veins shifts, creating the unique data that FakeCatcher utilizes to distinguish between real and manipulated videos. This innovative detection method signifies a significant leap forward in the fight against deepfake technology.
API Access
Has API
API Access
Has API
Integrations
Facebook
X (Twitter)
YouTube
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Deepware
Country
Bosnia y Herzegovina
Website
deepware.ai/
Vendor Details
Company Name
Intel
Country
United States
Website
www.intel.com/content/www/us/en/newsroom/news/intel-introduces-real-time-deepfake-detector.html#gs.08lxwl