A Gartner survey of 297 cybersecurity leaders reveals that 41% of CISOs have encountered deepfake incidents during audio calls, with 36% reporting similar issues in video calls. The findings underscore the urgent need for streaming and media organizations to implement robust verification workflows and identity controls to mitigate AI-driven social engineering threats.
The high frequency of multimodal impersonation attacks means media organizations can no longer rely on standard employee awareness training to prevent fraud. As generative models improve, standalone technical detection capabilities are losing ground, forcing security teams to implement phishing-resistant authentication and risk-based identity controls for high-risk workflows like payment authorization. The broader streaming ecosystem must adapt to sophisticated social engineering tactics that combine synthetic media with aggregated personal context across multiple communication channels. Moving forward, industry professionals should watch how organizations update their incident response playbooks to account for manipulated AI recommendations and compromised digital agents.
The Gartner deepfake incident survey arrives amid a broader wave of enterprise-focused research quantifying synthetic media threats to corporate communications. In its 2026 report, Gartner found that 41% of CISOs encountered deepfake audio attacks and 36% reported deepfake video call incidents, marking the first time the firm has published granular breakdowns by modality. The survey of 297 cybersecurity leaders positions audio-based impersonation as the dominant vector, a finding that aligns with the lower technical barrier for real-time voice synthesis compared with video generation. To mitigate these risks, organizations are increasingly exploring digital identity frameworks to verify user authenticity, while also monitoring global AI-generated video regulations disclosure standards, as well as the AI Scam Watchlist recently launched to combat deepfake fraud. Industry groups are also responding to these threats through IAB AI transparency framework updates, while courts are beginning to address Japan voice publicity rights to protect against unauthorized AI imitations.
A recent Gartner survey found that 41% of cybersecurity leaders encountered deepfake audio call incidents over the past year, while 36% reported video call attacks. This surge in sophisticated social engineering forces organizations to move beyond standard training and adopt multi-channel verification to protect against high-fidelity synthetic media fraud.
According to a Gartner survey of 297 senior cybersecurity leaders, 41% of respondents reported experiencing deepfake audio call incidents over the past year.
The Gartner survey indicated that 36% of the surveyed cybersecurity leaders reported encountering deepfake video call attacks.
Detection accuracy is dropping as generative models improve. The Vector Institute found that leading deepfake detectors achieved only 72% accuracy against recent diffusion-model-generated audio, down from 91% accuracy against older GAN-based fakes.
Gartner analyst Craig Porter noted that organizations combining technical detection with procedural safeguards, such as multi-channel confirmation and out-of-band verification, reduced successful deepfake social engineering attempts by 60%.
Add StreamingMeme as a preferred source on Google to see more of our streaming news at the top of your Search results.
Add as preferred source