Digital platforms face a proliferation of deepfakes and AI-generated disinformation content.
But there are defense strategies. The April 2024 Gartner “Emerging Tech: Combating Deepfakes, Deception and Disinformation in Multimedia Content” research can help organizations fight generative AI threats. The strategies include incorporating source identification, forgery detection and generative content detection.
“Focus on a multilayered approach, capable of applying established techniques and emerging technology, to detect disinformation forgery, with inclusion of machine learning and deep networks,” according to the research.
Deepfakes Carve Out New Frontier of Digital Threats
Generative AI is amplifying bad actors’ ability to spread disinformation.
Disinformation can spread quickly online, increasing fraud risk and regulatory compliance challenges. Detection can be challenging, creating trust and safety concerns for social media platforms, online marketplaces and other organizations.
“The battle between the creation of and ability to detect deepfakes is poised to become a digital arms race,” according to the Gartner research.
Companies Can Take Steps to Fight Deepfakes
The Gartner research highlights techniques organizations can use for source identification of disinformation content.
Classifying content based on device make and model and then expanding capabilities to include device identification can lead to increased trust and a strong fraud defense.
Unite Source ID and Forgery Detection
Organizations also can deploy forgery and tamper detection techniques, according to the research.
Organizations can apply strategies to identify image anomalies and inconsistencies.
Combining multiple tools and techniques helps counter the many different ways bad actors can deceive organizations.
“Effectively identifying GenAI content crafted for disinformation campaigns demands a blend of source identification and forgery detection techniques,” according to the research.
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