Generative Adversarial Networks (GANs): How AI is Being Trained to Fool Humans
Have you noticed that it’s becoming harder to distinguish AI photos and videos from the real thing? It’s not just you. A specific method of training AI models, called Generative Adversarial Networks (GANs), pits two AI models against each other in an eternal game of cat and mouse. The generator AI creates images and other content in an attempt to fool the discriminator AI, while the discriminator is tasked with trying to spot the fake AI-generated content. As the two AI feed off each other, the generator AI becomes better at making AI content look realistic until it becomes indistinguishable from something a human produced.
Scott and Jon from Blade Technologies, a leading cybersecurity and IT management firm, discuss the major implications of this type of AI training, including the consequences of fake content that can no longer be distinguished from reality. Learn how to prepare your business against GAN-powered phishing attacks, undetectable deep fakes, and other artificial content attacks designed to ruin a company's reputation or manipulate consumer behavior.
Blade Technologies has been helping businesses secure their networks since 2004, providing all the tools you need to stay productive, efficient, and safe. We offer a host of solutions, including:
• Comprehensive cybersecurity
• Network risk assessment
• Data breach remediation
To learn more about how Blade Technologies can protect your business from the unexpected, contact us today!
Contact Us: https://www.bladetechinc.com/contact-us
Learn More About Our Cybersecurity Services: https://www.bladetechinc.com/cybersecurity
Read More About Generative Adversarial Networks: https://www.bladetechinc.com/news/generative-adversarial-networks
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#bladetechinc #deepfakes #generativeadversarialnetworks #aicybersecurity #cybersecurity #reputationmanagement #aitraining #artificialintelligence
Have you noticed that it’s becoming harder to distinguish AI photos and videos from the real thing? It’s not just you. A specific method of training AI models, called Generative Adversarial Networks (GANs), pits two AI models against each other in an eternal game of cat and mouse. The generator AI creates images and other content in an attempt to fool the discriminator AI, while the discriminator is tasked with trying to spot the fake AI-generated content. As the two AI feed off each other, the generator AI becomes better at making AI content look realistic until it becomes indistinguishable from something a human produced.
Scott and Jon from Blade Technologies, a leading cybersecurity and IT management firm, discuss the major implications of this type of AI training, including the consequences of fake content that can no longer be distinguished from reality. Learn how to prepare your business against GAN-powered phishing attacks, undetectable deep fakes, and other artificial content attacks designed to ruin a company’s reputation or manipulate consumer behavior.
Blade Technologies has been helping businesses secure their networks since 2004, providing all the tools you need to stay productive, efficient, and safe. We offer a host of solutions, including:
• Comprehensive cybersecurity
• Network risk assessment
• Data breach remediation
To learn more about how Blade Technologies can protect your business from the unexpected, contact us today!
Contact Us: https://www.bladetechinc.com/contact-us
Learn More About Our Cybersecurity Services: https://www.bladetechinc.com/cybersecurity
Read More About Generative Adversarial Networks: https://www.bladetechinc.com/news/generative-adversarial-networks
Follow Us on Social Media for More Cybersecurity Tips!
Facebook: https://www.facebook.com/bladetechinc
LinkedIn: https://www.linkedin.com/company/1604580
X: http://www.twitter.com/bladetech
#bladetechinc #deepfakes #generativeadversarialnetworks #aicybersecurity #cybersecurity #reputationmanagement #aitraining #artificialintelligence
