惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Microsoft Azure Blog
Microsoft Azure Blog
有赞技术团队
有赞技术团队
IT之家
IT之家
博客园 - 聂微东
Jina AI
Jina AI
Hugging Face - Blog
Hugging Face - Blog
Last Week in AI
Last Week in AI
Apple Machine Learning Research
Apple Machine Learning Research
WordPress大学
WordPress大学
小众软件
小众软件
爱范儿
爱范儿
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
V
Visual Studio Blog
雷峰网
雷峰网
酷 壳 – CoolShell
酷 壳 – CoolShell
阮一峰的网络日志
阮一峰的网络日志
宝玉的分享
宝玉的分享
博客园 - 三生石上(FineUI控件)
大猫的无限游戏
大猫的无限游戏
博客园 - Franky
量子位
月光博客
月光博客
博客园 - 【当耐特】
博客园 - 叶小钗

Help Net Security

ChatGPT advanced account security adds passkeys and hardware keys Week in review: High-severity LPE vulnerability in the Linux kernel, cPanel 0-day exploited for months Automating Pentest Delivery: A Step-by-Step Guide - PlexTrac Open-source privacy proxy masks PII before prompts reach external AI services Shadow AI risks deepen as 31% of users get no employer training Identity is the control plane for distributed infrastructure AI traffic is getting bigger, louder, and less predictable New infosec products of the month: April 2026 cPanel zero-day exploited for months before patch release (CVE-2026-41940) Cisco releases open-source toolkit for verifying AI model lineage Met Police face criticism for using AI to spy on their own officers Nine-year-old Linux kernel flaw enables reliable local privilege escalation (CVE-2026-31431) Hacker with a special interest in breaching sports institutions ends behind bars - Help Net Security IP Fabric MCP server adds governance and control to enterprise AIOps workflows - Help Net Security Aqua Compass MCP server enables real-time investigation and containment of runtime threats - Help Net Security Google brings instant email verification to Android, no OTP needed - Help Net Security If cyber espionage via HDMI worries you, NCSC built a device to stop it - Help Net Security Apple fixes iPhone bug that let FBI retrieve deleted Signal messages(CVE-2026-28950) - Help Net Security GopherWhisper APT group hides command and control traffic in Slack and Discord - Help Net Security OpenAI tackles a bad habit people have when interacting with AI - Help Net Security A year in, Zoom's CISO reflects on balancing security and business - Help Net Security Scenario: Open-source framework for automated AI app red-teaming - Help Net Security GDPR works, but only where someone enforces it - Help Net Security Ransomware, fraud, and lawsuits drive cyber insurance claims to new peaks - Help Net Security Google’s Workspace Intelligence promises privacy while running on your data - Help Net Security Cyberattack on French government agency triggers phishing alert - Help Net Security Claude Mythos finds 271 Firefox flaws, Mozilla believes zero-days are numbered - Help Net Security Prove Identity Platform connects verification, authentication, and fraud prevention - Help Net Security New Mirai variants target routers and DVRs in parallel campaigns - Help Net Security Acronis GenAI Protection gives MSPs control over AI usage and data risks - Help Net Security
iProov brings identity verification to video meetings to ...
Industry New · 2026-05-19 · via Help Net Security

iProov has launched iProov Verified Meetings, a new solution that enables organizations to verify the identity of video call participants without adding friction to the user experience.

Video meetings have become a trusted and scalable communication channel, but attackers are increasingly exploiting them through AI-generated deepfake and injection attacks, creating new fraud risks. Verified Meetings addresses these threats by helping organizations confirm participant identities before meetings begin. The solution is part of the iProov Workforce Solutions Suite and supports the Workforce “Pre-Join” journey.

Organizations rely on video conferencing for everything from routine business meetings to customer onboarding, remote hiring, account recovery, and financial approvals. Each of these interactions can carry significant risk. Two recent high-profile examples demonstrate how the video call has become a vulnerable part of the digital attack surface: global engineering company, Arup, saw a deepfake video call cost the firm $25 million, while North Korea–linked operatives have infiltrated hundreds of organizations using synthetic media in remote interviews.

Generative AI is the driving force behind this shift. Easily accessible and low-cost tools enable attackers to create highly convincing deepfakes that are undetectable by the human eye. They are often paired with virtual camera environments, enabling attackers to deceive both people and platforms. Without a way to authenticate the human behind the screen, the video call is now one of the fastest-growing attack vectors and a primary entry point for fraud, infiltration, and social engineering.

“Video has become the standard way of communicating for business and consumers alike, from meeting with colleagues and suppliers to hiring, onboarding, and approving financial transactions,” said Andrew Bud, CEO of iProov.

“But organizations still largely assume that seeing a person on screen means they’re real. That assumption no longer holds. Deepfakes are now easy to create and very difficult to detect, making deception in video interactions both scalable and hard to stop. Organizations must be confident about who they’re really engaging with. iProov Verified Meetings provides that capability, enabling organizations to authenticate that participants are real people using real cameras while protecting the integrity of critical interactions,” Bud continued.

iProov’s deepfake detection is embedded directly into video conferencing platforms, so that hosts can assess the authenticity of a participant in real-time without interrupting the flow of the call. As a result, organizations can close off the video call as a fraud entry point by detecting deepfakes before funds are distributed, candidates are hired, or access is granted. The solution also provides continuous protection through multi-layered detection that evolves alongside emerging threats.

Delivered as a native plugin for video conferencing platforms, iProov Verified Meetings analyzes the live video stream in real time when triggered by the host across two dimensions: imagery analysis to detect deepfakes and presentation attacks, and hardware integrity verification to confirm the video originates from a physical camera rather than a virtual environment.

The check runs silently in the background, with the participant unaware they are being checked and the result appearing directly in the host’s interface as a simple Red, Amber, or Green (RAG) status, to inform clear and immediate decision-making. This prevents attackers from being alerted and ensures accessibility for all users.

iProov Verified Meetings is supported by the iProov Security Operations Center (iSOC), which delivers continuous threat intelligence and adaptive defense. A dedicated team of biometric scientists, threat intelligence experts, and red teamers continuously monitors emerging attack methods and updates detection capabilities in real time.