Doppel and GetReal Security Partner to Combat the Rise of Deepfakes Targeting Brands and Executives Online

Doppel, the AI-native social engineering defense company, and GetReal Security, the world’s leading authority on malicious AI-generated content, announce a strategic partnership designed to protect companies and executives against the growing threat of deepfakes and other AI-generated media.

“AI has rapidly changed the threat landscape, with deep fakes in particular becoming a huge threat to businesses and their executives. Our partnership enables brands to detect and respond to these threats wherever they occur in the digital landscape.”

As the use of deceptive AI-generated images, audio, and video files increases, businesses face significant risks to their reputation, security, and public trust. Deepfakes and synthetic media, in particular, have been ranked by the World Economic Forum as the top global technology risk for the second year in a row in 2025.

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To disrupt these threats, this strategic pairing unites Doppel’s social engineering defense platform with GetReal Security’s expertise and advanced content verification technology in detecting and mitigating malicious AI content.

“AI has rapidly changed the threat landscape, with deepfakes in particular becoming a huge threat to businesses and their executives,” said Kevin Tian, CEO of Doppel. “Our partnership enables brands to detect and respond to these threats wherever they occur in the digital landscape.”

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“The integrity of digital content is under siege as barriers to creating and distributing synthetic, deceptive media all but disappear,” said Matt Moynahan, CEO of GetReal Security. “This partnership gives enterprises an upper hand – enabling them to spot suspicious content early and respond decisively when it matters most with precise assessment insights into authenticity and supporting forensic evidence.”

The integrated solution will proactively monitor for deepfakes online, conduct multi-layer analysis to verify the authenticity of digital content, and deliver explainable, evidence-backed results powered by ensemble machine learning, statistical analysis, and advanced forensics. This will empower legal, communications, and cybersecurity teams to respond quickly, confidently, and effectively to deepfake threats.