Enterprise Video Calls Get Real-Time Deepfake Protection
GetReal Security extends deepfake detection to Microsoft Teams and Cisco Webex, addressing surge in AI-generated video fraud targeting businesses.
As artificial intelligence makes it easier than ever to create convincing fake videos in real-time, GetReal Security has expanded its deepfake detection technology to Microsoft Teams and Cisco Webex, two platforms that collectively serve hundreds of millions of business users worldwide.
The Growing Threat to Business Communications
The timing couldn't be more critical. Recent reports show a 3,000% increase in deepfake incidents over the past year, with cybercriminals increasingly targeting corporate environments through sophisticated video impersonation attacks. These aren't just static fake videos anymore—modern deepfake technology can generate convincing real-time video during live calls, making it possible for attackers to impersonate executives, clients, or partners during crucial business meetings.
The financial stakes are enormous. A single successful deepfake attack on a corporate video call can result in fraudulent wire transfers worth millions, compromised business deals, or stolen intellectual property. Traditional security measures simply weren't designed to detect these AI-generated deceptions in real-time video streams.
How Real-Time Detection Works
GetReal Security's technology analyzes multiple layers of video data during live calls, examining facial movements, lighting consistency, and temporal patterns that human eyes typically miss. The system looks for telltale signs of AI generation, such as unnatural micro-expressions, inconsistent shadows, or subtle artifacts in facial reconstruction.
Unlike post-processing analysis that might take minutes or hours, this detection happens in milliseconds during the actual video call. When suspicious content is detected, the system can alert participants immediately, allowing them to verify the identity of speakers through alternative means before proceeding with sensitive discussions.
Enterprise Integration Challenges
Integrating deepfake detection into existing enterprise communication platforms presents unique technical hurdles. The technology must process high-definition video streams without introducing noticeable latency or degrading call quality. It also needs to work seamlessly across different devices, operating systems, and network conditions that are common in corporate environments.
GetReal Security's solution addresses these challenges by running detection algorithms locally on user devices when possible, reducing bandwidth requirements and maintaining privacy. For organizations requiring additional security layers, the system can also incorporate cryptographic verification methods that create tamper-proof digital signatures for authentic video content, making it mathematically impossible for deepfakes to pass verification.
Market Response and Adoption
The expansion to Teams and Webex represents a significant milestone for enterprise deepfake protection. Microsoft Teams alone has over 280 million monthly active users, while Cisco Webex serves more than 600 million meeting participants annually. This broad integration means that millions of business professionals will now have access to real-time deepfake detection during their most sensitive communications.
Early adopters in financial services and healthcare—industries where identity verification is paramount—report significant improvements in their security posture. One multinational bank noted that the technology helped prevent a potential $2.3 million fraud attempt during a video conference with what appeared to be a legitimate client but was actually a sophisticated deepfake impersonation.
Looking Ahead
As deepfake technology continues to evolve, the arms race between creation and detection intensifies. The integration of real-time protection into mainstream business communication platforms marks a crucial step in defending against AI-generated fraud. However, experts warn that this is just the beginning—as detection improves, so too will the sophistication of deepfake attacks.
The key for organizations is implementing these protections now, before deepfake attacks become even more prevalent and convincing. With GetReal Security's expansion to major enterprise platforms, businesses finally have the tools to verify that the person on the other end of their video call is actually who they claim to be.
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