GetReal Security Enhances Identity Protection for Video Conferencing and Announces Free Detection Solution for Remote Interviews
ByAinvest
Wednesday, Sep 10, 2025 9:07 am ET2min read
CSCO--
The average employee participates in at least two virtual meetings daily, making video conferencing a primary collaboration channel. However, threat actors are increasingly leveraging real-time deepfake audio and video to launch social engineering attacks, particularly against finance teams, hiring processes, and account recovery workflows. According to IBM, 16 percent of data breaches between March 2024 and February 2025 involved AI, with deepfake impersonation attacks accounting for more than a third of these incidents [1].
GetReal Protect, the company's solution, allows IT and security teams to identify, investigate, and respond to deceptive identities within seconds of them entering a virtual meeting. This real-time protection is crucial as enterprises can no longer rely on traditional authentication methods based on voice or face familiarity. The solution is designed to provide continuous authentication of participant biometrics, such as face and voice, throughout remote interactions.
Microsoft Teams, Webex, and Zoom account for 96 percent of the videoconferencing market, making GetReal Protect's expanded real-time deepfake defense available for the digital collaboration and unified communications platforms enterprises use most [1]. The solution maps deceptive and suspicious identities that have joined video conferences, links them to impacted parties, and provides relevant context to illustrate the "blast radius" of a real-time deepfake incident.
In response to the growing wave of deepfake-enabled candidate fraud, GetReal Security is offering complimentary access to its GetReal Protect solution for imposter detection technology for hiring use cases for a limited time, with enrollment before Dec. 31, 2025 [1]. Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake, highlighting the urgent need for robust identity verification measures.
GetReal Protect detects forensic artifacts of AI manipulation and applies threat intelligence curated by the GetReal Security Threat Intelligence team, including known fraudulent remote IT worker identities and default faces included in popular GenAI tools used to create deepfakes. The platform supports highly accurate detection in seconds and integrates with SIEM and SOAR solutions for automated responses, such as ejecting flagged users or continuing calls under observation.
With its latest release, GetReal Security not only delivers real-time protection against deepfakes in video conferencing but establishes a foundation for its vision of continuous identity protection across the enterprise. To learn more about how GetReal Protect can secure your organization's video conferencing channels or schedule a demo, visit getrealsecurity.com. Review eligibility requirements and submit your application for the complimentary GetReal Protect interview protection solution here.
[1]: https://www.prnewswire.com/news-releases/getreal-security-advances-continuous-identity-protection-to-combat-deepfakes-302551665.html
MSFT--
ZM--
GetReal Security has expanded its continuous identity protection to combat deepfakes in video conferencing. The cybersecurity leader has now protected Microsoft Teams, Cisco Webex, and Zoom, allowing IT and security teams to identify and respond to deceptive identities in real-time. This is crucial in defending against AI-powered replication of trusted identities in videoconferencing audio and video streams.
GetReal Security has announced a significant advancement in its continuous identity protection capabilities, specifically targeting the growing threat of deepfakes in video conferencing. The cybersecurity leader has now expanded its real-time deepfake protection to cover Microsoft Teams, Cisco Webex, and Zoom, with a focus on safeguarding enterprises from AI-powered impersonation attacks.The average employee participates in at least two virtual meetings daily, making video conferencing a primary collaboration channel. However, threat actors are increasingly leveraging real-time deepfake audio and video to launch social engineering attacks, particularly against finance teams, hiring processes, and account recovery workflows. According to IBM, 16 percent of data breaches between March 2024 and February 2025 involved AI, with deepfake impersonation attacks accounting for more than a third of these incidents [1].
GetReal Protect, the company's solution, allows IT and security teams to identify, investigate, and respond to deceptive identities within seconds of them entering a virtual meeting. This real-time protection is crucial as enterprises can no longer rely on traditional authentication methods based on voice or face familiarity. The solution is designed to provide continuous authentication of participant biometrics, such as face and voice, throughout remote interactions.
Microsoft Teams, Webex, and Zoom account for 96 percent of the videoconferencing market, making GetReal Protect's expanded real-time deepfake defense available for the digital collaboration and unified communications platforms enterprises use most [1]. The solution maps deceptive and suspicious identities that have joined video conferences, links them to impacted parties, and provides relevant context to illustrate the "blast radius" of a real-time deepfake incident.
In response to the growing wave of deepfake-enabled candidate fraud, GetReal Security is offering complimentary access to its GetReal Protect solution for imposter detection technology for hiring use cases for a limited time, with enrollment before Dec. 31, 2025 [1]. Gartner predicts that by 2028, one in four candidate profiles worldwide will be fake, highlighting the urgent need for robust identity verification measures.
GetReal Protect detects forensic artifacts of AI manipulation and applies threat intelligence curated by the GetReal Security Threat Intelligence team, including known fraudulent remote IT worker identities and default faces included in popular GenAI tools used to create deepfakes. The platform supports highly accurate detection in seconds and integrates with SIEM and SOAR solutions for automated responses, such as ejecting flagged users or continuing calls under observation.
With its latest release, GetReal Security not only delivers real-time protection against deepfakes in video conferencing but establishes a foundation for its vision of continuous identity protection across the enterprise. To learn more about how GetReal Protect can secure your organization's video conferencing channels or schedule a demo, visit getrealsecurity.com. Review eligibility requirements and submit your application for the complimentary GetReal Protect interview protection solution here.
[1]: https://www.prnewswire.com/news-releases/getreal-security-advances-continuous-identity-protection-to-combat-deepfakes-302551665.html

Stay ahead of the market.
Get curated U.S. market news, insights and key dates delivered to your inbox.
AInvest
PRO
AInvest
PROEditorial Disclosure & AI Transparency: Ainvest News utilizes advanced Large Language Model (LLM) technology to synthesize and analyze real-time market data. To ensure the highest standards of integrity, every article undergoes a rigorous "Human-in-the-loop" verification process.
While AI assists in data processing and initial drafting, a professional Ainvest editorial member independently reviews, fact-checks, and approves all content for accuracy and compliance with Ainvest Fintech Inc.’s editorial standards. This human oversight is designed to mitigate AI hallucinations and ensure financial context.
Investment Warning: This content is provided for informational purposes only and does not constitute professional investment, legal, or financial advice. Markets involve inherent risks. Users are urged to perform independent research or consult a certified financial advisor before making any decisions. Ainvest Fintech Inc. disclaims all liability for actions taken based on this information. Found an error?Report an Issue



Comments
No comments yet