Tackle your DeepFake risk thanks to DeepTrust
UNDERSTAND DEEPFAKES
DeepFake is a technology using Deep Learning which is capable of reproducing video & audio
Hackers are able to perfectly copy the voice of any individuals with few records of him/her speaking, modify any video (even video conference in real time) or images to usurp identity.
EXPONENTIAL THREAT
DeepFakes double every 6 months
Dec 18
Jul 19
Jan 20
Jun 20
Source: Deep traces labs (2020)
ROCKETING LOSS
On average, we estimate that SMEs have $25,974 per year in fraud-related losses.
This is a major consequence due to DeepFake technology.
Let's not forget your loss of credibility and the impact on your reputation!
BUNDLE SOLUTION
01 / AFFORDABLE
Having dedicated staff and implementing solutions is a huge cost for companies. Therefore we provide DeepTrust as an affordable solution bundle tailored precisely to your needs. Combined with online and offline training to provide you with the best strategies for tackling the DeepFakes with ease.
02 / EASY
Finding solutions and implementing them are the main issues for companies. Therefore, DeepTrust provides tailor-made protocols but also an easy-to-use detection system combined with training to ensure that it is perfectly suited to your needs.
03 / FAST
Adapting protocols and accessing information is a significant time-consuming issue for companies. Therefore, DeepTrust allows you to be kept up to date and trained to adopt the best strategies when dealing with DeepFakes. DeepTrust also provides tailor-made protocols to fit your needs.
Professor Hao Li of the University of Southern California
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THE TEAM
It is widely known that each technological innovation brings as much progress as new threats. We wanted to launch this project in order to preserve the beauty of technology while making the world a better place.
Laurent Cayphas
Chief Operation Officer
Quentin Connan
Chief Finance Officer
Caroline Hofmans
Chief Sales and Marketing Officer
Nicolas Geeraerdt
Human Resources Officer
Vincent Van Loo
Chief Information Officer