Paravision

Deepfake technology is evolving rapidly—and so are the risks it brings to digital identity verification. In our latest article, developed with insights from the Kantara Initiative DeepfakesIDV discussion group, with contributions and support from industry experts including Daniel Bachenheimer and Stephanie Schuckers, we examine the critical points in remote ID verification where #deepfake attacks can occur. From initial #biometric capture to live video interactions, understanding these specific points of vulnerability is key to strengthening digital defenses and ensuring secure identity verification. 🔗 Find a diagram summarizing the key attack points and read the full article via the link in the comments.

🎭 Understanding Deepfakes: What You Need to Know Face #Deepfakes are becoming more sophisticated and widespread, posing serious challenges to security and trust online. At Paravision, we’re committed to staying ahead of this evolving threat. To help you better understand the different types of face deepfakes and how they’re being used, we’ve put together a reference and a guide with real-world examples. From #faceswap videos and AI editing filters to face morphing and AI-generated synthetic media, this guide breaks down key terminology, challenges, and approaches to detection. Check out the quick reference below to see the examples, and follow the link in the comments to dive deeper into our full Guide to Deepfakes. 🔗

We’re excited to announce Paravision’s new program with a Five Eyes government partner to bring our #deepfakedetection technology to a production-grade government solution. This partnership represents a major step forward in the fight against #deepfakes and the growing need for advanced security in high-stakes environments. 🛡️ To support this milestone, we’ve also released a Guide to Deepfakes—a detailed resource that explains the different types of face deepfakes, their risks, and the critical importance of detection technology. Find links to the full announcement and the guide to deepfakes in the comments to learn more! 👇

We’re proud to announce that Paravision has been recognized as a Luminary in the Travel & Hospitality Report, published at Identity Week America by The Prism Project. We’re also happy to share that Paravision’s face recognition is deployed or slated for deployment at over 50 airports and venues, transforming customer experiences worldwide. ✈️🏟️ Read more about the exciting milestone here: https://lnkd.in/em9WxFyV

Paravision's CEO, Doug Aley, was featured on PEAK IDV Executive Series Podcast! 🎧 In this insightful interview, Doug dives into critical topics such as #liveness, #deepfakedetection, and building accessible and inclusive technology. Check out the full podcast below.

Congratulations to Airsphere on the launch of the new biometric passenger facilitation system at BER - Berlin Brandenburg Airport! 🛫 We at Paravision are proud to support Airsphere in building next-gen #biometric travel solutions, making passenger experiences more convenient and secure. Read the full news article via the link in comments, and learn more about how Paravision is revolutionizing travel with our advanced AI building blocks: https://lnkd.in/eBdeAqPz

We’re thrilled to see Paravision featured in the San Francisco Business Times article on the rising threat of deepfakes in the cybersecurity landscape 🚀 “Anywhere where there are assets to be had that sit behind a set of authentication gates, you’re going to see these types of attacks in the same way that you would see hackers go after two-factor or password-based authentication.” - Doug Aley, CEO of Paravision A big thank you to William Hicks for shedding light on this critical issue and for including us alongside esteemed companies like LastPass and Ripple, Deep Media AI, and industry leaders like Hany Farid. Read the full article via link in comments.

New demographic insights from NIST FRTE 1:1 👇 We recently highlighted the importance of inclusion in face recognition technology, focusing on the critical metric of FMR Max. We're excited to share new insights and a more comprehensive white paper that delves deeper into this topic. The graph below shows leading vendors’ error rates for each reported area of origin, pulled from their individual National Institute of Standards and Technology (NIST) FRTE 1:1 Report Cards. While most vendors struggle with all origins but Eastern Europe, Paravision singularly shows exceptional accuracy across all groups. Here are some additional highlights: 🥇 Best Performance Across Groups: Paravision performs better than every other vendor for people of Central American, Western African, Caribbean, Eastern African, South Asian, and East Asian origin, and on par with leading vendors for people of Eastern European origin. 📊 Consistency of Accuracy: The heat map in the comments shows the geographic-specific error rates of each leading vendor in NIST FRTE 1:1. Blue color means better, showing Paravision’s consistency across all groups. Financial institutions, government services, and other sensitive sectors face significant risks if they fail to address poor demographic performance. Our updated white paper not only analyzes the NIST FRTE 1:1 results but also provides a full guide on how to achieve true inclusion in face recognition technology. Read the full guide via the link in comments: 🔗

We're excited to announce a new partnership with Checkin.com to help fight fraudulent online activities by integrating Paravision's AI technologies into Checkin.com’s suite of identity verification solutions. “We have been looking for a true cutting-edge technology partner to further strengthen our offering within the fintech, travel and gaming sectors. This strategic partnership with Paravision will help to set a new standard for security and user trust in the identity verification and user onboarding space.” Christian Karlsson, CEO of Checkin.com Read the full press release and learn about how we're making digital interactions safer for leading enterprises: https://lnkd.in/e6-YC2Qj

Let’s talk about inclusion in Face Recognition systems👇 Ensuring inclusive systems is crucial for any company in biometrics, and sensitive sectors face significant legal, financial, and reputational risks if they fail to address poor demographic performance in their systems. In our new blog post, we discuss how companies can advocate for inclusion in biometric systems, and explore an important but overlooked metric from the NIST FRTE 1:1 – FMR Max, which is a crucial indicator of a system's worst-case performance regarding demographic performance. We take an in-depth look at the FMR Max performance of leading vendors, discuss why the differences are important, and list questions all buyers should ask their vendors to assess the risk of demographic shortcomings.   Key highlights: 🥇 With an FMR Max of just 0.00086, Paravision leads the way in minimizing false matches and ensuring accurate identification for all demographic groups. 📈 Paravision’s FMR Max is more than 5 times lower compared to the next best vendor within the top-25. 🌍 Paravision's FMR Max is found in Eastern European males aged 12-20. In contrast, the worst-case demographic group for all other vendors in the top 25 is Western African females aged 65-99. Read more below about how Paravision is setting the standard for inclusion in face recognition technology and why this matters for high-stakes applications like financial services, border security, identity programs, and government services: