Account Executive

OneTrust has appointed Stephanie Glenn as Chief Revenue Officer. Glenn brings over 20 years of enterprise software experience, including 14 years at Salesforce in senior leadership roles. Most recently, she served as Executive Vice President of AMER Digital Sales at Salesforce, overseeing the $2 billion ARR Marketing Cloud and Commerce Cloud businesses across North America. She also led Salesforce's 3,500-person New York office and played a key role in scaling the Marketing Cloud business through multiple acquisitions. Before joining OneTrust, Glenn was Chief Commercial Officer at Maven Clinic, where she unified and scaled go-to-market teams. She also serves as a Board Member of Project Sunshine and sits on the Tech MBA Advisory Board at NYU Stern School of Business.

OneTrust appoints Stephanie Glenn as Chief Revenue Officer. Former Salesforce and Maven Clinic executive joins OneTrust to accelerate growth and scale. September 08, 2026 12:00 ET | Source: OneTrust LLC ATLANTA, Sept. 08, 2026 (GLOBE NEWSWIRE) - OneTrust, the AI-Ready Governance Platform(TM), today announced the appointment of Stephanie Glenn as Chief Revenue Officer. Glenn, an enterprise software industry veteran with over two decades of experience, will help OneTrust build on its momentum by strengthening commercial execution and delivering greater value to customers as the company continues to grow. "OneTrust is exactly that kind of company, with deep customer relationships, a differentiated platform, and a clear opportunity to be the trusted governance..." "Stephanie is a proven go-to-market leader with deep experience scaling enterprise software businesses and building high-performing teams," "Her operational discipline, customer focus, and track record of translating market opportunity into durable growth make her the right leader to help OneTrust..." "Throughout my career, I've been drawn to companies with strong foundations and the opportunity to scale into something even bigger," Glenn spent 14 years at Salesforce in senior executive leadership roles, most recently as Executive Vice President of AMER Digital Sales, overseeing the $2 billion ARR Marketing Cloud and Commerce Cloud businesses across North America. Building on earlier leadership roles at IBM, Glenn helped expand Salesforce's SMB business into new markets, led the company's 3,500-person New York office, and played a key role in scaling the Marketing Cloud business through the integration of multiple acquisitions. After Salesforce, she served as Chief Commercial Officer of Maven Clinic, where she was responsible for unifying and scaling go-to-market teams across sales, marketing, and client success. Glenn also serves as a Board Member of Project Sunshine and sits on the Tech MBA Advisory Board at the NYU Stern School of Business. "Stephanie is a proven go-to-market leader with deep experience scaling enterprise software businesses and building high-performing teams," said John Heyman, Chief Executive Officer of OneTrust. "Her operational discipline, customer focus, and track record of translating market opportunity into durable growth make her the right leader to help OneTrust strengthen our commercial execution and deliver even greater value to customers. We're thrilled to welcome her to the executive leadership team." "Throughout my career, I've been drawn to companies with strong foundations and the opportunity to scale into something even bigger," said Stephanie Glenn, Chief Revenue Officer of OneTrust. "OneTrust is exactly that kind of company, with deep customer relationships, a differentiated platform, and a clear opportunity to be the trusted governance layer organizations need to turn AI into business value without losing control. I'm excited to work with the team to sharpen our go-to-market execution, deliver more value to our customers, and support OneTrust's next phase of growth." About OneTrust OneTrust, the AI-Ready Governance Platform(TM), enables innovation through the responsible use of data and AI. Trusted by thousands of companies, including over half of the Fortune 500, we help businesses govern well and move fast, turning responsible data use into a catalyst for growth. To learn more, follow OneTrust on LinkedIn or visit www.onetrust.com. (C) 2026 OneTrust LLC. All rights reserved. OneTrust and the OneTrust logo are trademarks or registered trademarks of OneTrust LLC in the United States and other jurisdictions. All other brand and product names are trademarks or registered trademarks of their respective holders.

AI Video Background Plugins and deepfake detection: new standards and industry moves in 2026. New standards target deepfake risks in AI Video Background Plugins: what's changing in 2026. In June 2026, a wave of new standards and compliance frameworks has hit the AI video tooling sector, signaling an industry-wide response to mounting deepfake risks. Major plugin vendors - including Zoom, NVIDIA, and Agora - have announced upgraded deepfake detection features for their AI video background plugins, rolling out updates ahead of incoming regulatory deadlines. The focus: AI video background deepfake detection 2026 is shifting from an experimental add-on to a commercial and legal necessity. Why AI Video Background deepfake detection matters in 2026. The surge in adoption of AI video background plugins - used in everything from remote work to telehealth - has brought a parallel rise in deepfake abuse. Security incidents in late 2025, such as the high-profile impersonation of a banking CEO during a virtual board meeting, have fueled regulatory scrutiny. The U.S. Federal Trade Commission and the European Data Protection Board both issued formal warnings in Q1 2026, urging vendors to "implement robust, transparent deepfake detection in all virtual background tools by Q4 2026." According to a World Economic Forum report published in May, deepfake incidents involving AI video backgrounds increased 240% year-over-year in the enterprise sector. The report cites that 68% of surveyed CISOs now list AI video background risks, including deepfake impersonation, as a top-three threat for remote teams. The stakes are not limited to security. As detailed in its analysis of FERPA compliance for AI video background plugins, privacy and regulatory exposure are equally critical. Organizations are being forced to rethink their video plugin procurement and review processes, with deepfake detection now a mandatory checklist item. Industry analysis: standards, features, and expert reactions. The market response to the regulatory drumbeat has been swift. In April, the Video Communications Standards Consortium (VCSC) unveiled its "Background Authenticity Protocol 1.0," an open standard for embedding tamper-evident cryptographic signatures into AI-generated video backgrounds. The standard - already adopted by Zoom and Microsoft Teams - enables real-time verification that video feeds haven't been manipulated by unauthorized deepfake-generating plugins. NVIDIA's May update to its Maxine SDK introduced a deep learning-based detector that flags suspicious facial and voice artifacts in real time. According to NVIDIA's developer blog, the new detector demonstrated a 94.6% accuracy rate in identifying known deepfake attack patterns during internal testing. "We're seeing a clear demand for native, on-device deepfake detection," said Dr. Priya Suresh, NVIDIA's Director of Video AI, in a statement to AI Daily Shot. "It's about trust - organizations need to know their video workflows haven't been tampered with at any point." Meanwhile, compliance automation vendors such as OneTrust have launched new modules that integrate with AI video background plugins to log and audit all deepfake detection events. This feature is crucial for regulated sectors, supporting automated compliance reports as described in its technical how-to on compliance automation. Security experts remain cautiously optimistic. "The standards are a big step forward, but the real challenge is enforcement and vendor transparency," said Lena Zhou, a security architect at Deloitte. "We recommend organizations require third-party audit reports on deepfake detection efficacy before approving any new video plugin." Zhou pointed to a recent case where a vendor's proprietary detection model failed to catch a custom deepfake, highlighting the need for open, benchmarked approaches. The competitive landscape is shifting as well. Smaller plugin vendors are racing to certify their products against the new VCSC protocol, while established players tout their deepfake detection as a differentiator in high-compliance markets like finance and telehealth. For a broader view of non-deepfake use cases and the evolving plugin ecosystem, see The Complete Guide to Non-Deepfake Use Cases for AI Video Background Plugins in 2026. Publicidade What to watch next: timeline and recommendations for 2026. The regulatory clock is ticking. The FTC's mandatory compliance guidance for "all enterprise-grade AI video background tools" takes effect on October 1, 2026, with the EU's Digital Identity Act setting a similar deadline for European vendors. Both frameworks require not only deepfake detection but also transparent reporting and end-user notification mechanisms. Upcoming milestones include: * July 2026: Public release of VCSC's Background Authenticity Protocol 2.0, with expanded forensic logging features. * September 2026: First round of third-party audits for leading plugin vendors due, with results to be published by the end of the month. * October 2026: FTC and EDPB enforcement begins; non-compliant vendors face penalties up to $5M per incident. For organizations evaluating AI video background plugins, security consultants recommend: * Mandating VCSC protocol support and cryptographic background signing in all new deployments * Requiring independent test results for deepfake detection models, with published false positive/negative rates * Implementing continuous audit trails and automated compliance reporting, as outlined in recent best practice guides for ethical deployment in remote workplaces As the AI video background deepfake detection 2026 landscape matures, the burden of proof is shifting to vendors. Buyers should expect a clear, standardized assurance of deepfake detection capabilities - not just a marketing claim. With high-profile enforcement actions likely later this year, the message is clear: plugin safety is no longer optional, and transparency is the new baseline. Master AI with its complete guide collection 8 guides, 375+ prompts, instant download. Save 41% with the All-Access Bundle. Senior AI Reporter Senior AI Reporter covering product launches, funding rounds, and industry moves.