🚨Virtual meetings are no longer just collaboration tools. They’ve become an active attack surface. We’re seeing job interview fraud, executive impersonation, and vendor scams play out in real time. Attackers are showing up live, inside trusted workflows, using synthetic audio and video. Detecting this requires more than a single AI model. It requires layered signals—voice, video, and location intelligence—analyzed during the call while intervention is still possible. We broke down what enterprise-grade deepfake detection actually looks like, and the questions security teams should be asking before they deploy any solution. 🔗Read the full breakdown: https://lnkd.in/enBYBxyQ
Pindrop
Computer and Network Security
Atlanta, Georgia 22,922 followers
Delivering deepfake detection and continuous identity verification across voice, video, and digital interactions.
About us
Pindrop is the Real Human + Right Human® Platform for the AI era. As AI-driven fraud and deepfakes erode trust in digital communication, Pindrop delivers continuous identity verification and deepfake detection across voice, video, and digital interactions in real time. Enterprises rely on Pindrop to secure billions of high-risk customer interactions each year, including 7 of the top 10 U.S. banks and leading insurers and healthcare providers. Powered by models trained on more than 1.5 billion real-world interactions annually and protected by 300+ patents, Pindrop restores trust while reducing fraud, lowering operational costs, and improving customer experience. Recognized by TIME as one of 2025’s Best Inventions and by Inc. for Best in Business for Innovation, Pindrop is backed by leading investors including Andreessen Horowitz, IVP, and CapitalG. Learn more at pindrop.com.
- Website
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http://pindrop.com
External link for Pindrop
- Industry
- Computer and Network Security
- Company size
- 201-500 employees
- Headquarters
- Atlanta, Georgia
- Type
- Privately Held
- Founded
- 2011
- Specialties
- anti-fraud, phone fraud, fraud, authentication, call center authentication, voice, IOT, and fraud prevention
Locations
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Primary
Get directions
1115 Howell Mill Rd
Suite 700
Atlanta, Georgia 30318, US
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Get directions
201 City Road
2nd Floor Old Street Works
London, England EC1V 1JN, GB
Employees at Pindrop
Updates
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Fraud is evolving fast. Credit unions are evolving with it. If you're at #EMERGE2026, join us today for our breakout session: Addressing Fraud: How CFIs Are Responding. 📍 4:25 PM PT | Mendocino breakout room Pindrop's Jay Hart and Ben Kurtz will be joined by Amanda Landreth, MBA from Spokane Teachers Credit Union for a conversation on how community financial institutions are responding to a fast-changing fraud landscape. We'll dig into what teams are seeing on the front lines, how fraud tactics are shifting, and what it takes to strengthen trust across every interaction. Thanks to Eltropy for bringing leaders together around one of the most urgent challenges facing financial institutions today. See you there. #EMERGE2026 #FraudPrevention #CreditUnions #FinancialServices #Pindrop
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When an AI agent acts on someone's behalf, how do you know a real human authorized it? Clarissa Cerda tackles this head-on in Pindrop's recent NIST NCCoE comments, making the case that trust needs to be built on verification—not guesswork. Read her full post below
As AI advances, the signals we’ve relied on to establish identity—voice, appearance, behavior—can no longer be assumed to reflect a real human. That’s not just a technical challenge. It’s a governance and accountability problem. When the underlying signal itself may be synthetic, trust can’t rely on perception—it has to be engineered through detection, attribution, and verifiable evidence. This shift is starting to show up more clearly across the industry (covered here: https://lnkd.in/gxeeRZVc). We tried to reflect that more directly in our NIST NCCoE comments—connecting identity, authorization, and governance in a way that is both implementable and accountable in practice: 🔗 https://lnkd.in/gV5_APjH This is where the conversation is going—and where the next set of solutions will need to evolve.
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A finance employee wired $25M after a video call with his "CFO." Every person on that call was fake. This isn't sci-fi — it's the new threat landscape. AI has made it trivially easy to clone voices, replicate faces, and impersonate trusted colleagues in real time. Synthetic voices on enterprise calls surged 173% in a single year. And it's only getting harder to tell what's real. In our latest article, we break down exactly how attackers are weaponizing video conferencing — and what security teams need to know right now. 🔗: https://lnkd.in/eP6xmbfZ
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Partnerships matter most when they solve real problems. We’re proud to expand our work with Zoom, with Biometric Update highlighting how Pindrop’s deepfake detection, voice authentication, and fraud risk intelligence are being brought into Zoom Contact Center. Together, we’re helping organizations strengthen trust in customer interactions as AI-driven fraud grows more sophisticated. It’s an important step forward in securing conversations across the enterprise. Read more here: https://lnkd.in/ggasPR2z
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The FBI’s latest IC3 report is getting a lot of attention, and Pindrop’s Jason Barr has an insightful take: cybercrime is shifting to the human layer. Traditional security wasn’t built to handle AI attacks, and humans can’t reliably spot them either. That means the threat landscape has expanded, and attackers are exploiting it. Get Jason’s full perspective below. 👇 Where are you seeing the “human layer” under attack in your enterprise?
If you’re in cyber or risk, you’ve seen the new FBI cybercrime report. But the biggest takeaway isn’t in the headlines. It’s in the methods. This isn’t intrusion anymore. It’s increasingly impersonation. The attacks didn’t just grow — they’re shifting. They’re no longer breaking systems - They’re impersonating people at scale. And in healthcare, that shift hits hardest as your most critical workflows still run over the phone. Patient access. Provider lines. Helpdesks. All built on trust that AI can now fake. That’s the exposure. What's your move?
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Great insights from SVP of Research Elie K. on where AI agents are headed—and why questions around trust and identity are critical. As agents start acting on our behalf, verifying who (or what) is actually interacting becomes a real risk. Read his full post below.
AI agents need identity. But that is only part of the trust equation. As AI agents take actions on behalf of people, enterprises also need to verify the human approval behind those actions. In high-risk environments like contact centers and virtual meetings, synthetic impersonation can undermine authorization even when the agent itself appears legitimate. Trust in agentic systems will depend on more than credentials alone. It will require strong agent identity, verified human authenticity, real-time risk signals, and clear accountability. We share more in the comments #Pindrop submitted to NIST’s National Cybersecurity Center of Excellence: https://lnkd.in/eFq_RduZ #AI #Agent #Identity #DeepfakeDetection
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Last chance to join us! AI-enabled fraud is up 1210%, putting real strain on investigation teams that still rely on manual review—calls, fragmented signals, and time-sensitive decisions that don’t scale. Join a live conversation on how agentic AI is transforming fraud investigation by helping teams move faster, reduce manual effort, and close cases with greater confidence. 📅 April 15 | 10AM PT / 1PM ET Last change to register👇: https://lnkd.in/eAZTj2-g
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Today is Pindrop’s 15th Founders Day. 🎉 For 15 years, Pindrop has been on the front lines of trust, identity, and fraud prevention. What started with securing voice has grown into a broader mission: helping organizations defend real-time interactions in an era defined by AI-powered deception. We're proud of this milestone, the team behind it, and the work still ahead. 👏
I shared this note with the Pindrop team today: Today we celebrate Pindrop’s 15th Founders Day - a moment to pause, reflect on how far we’ve come, and recognize the extraordinary journey that all of you have helped build. Fifteen years ago, we set out to secure voice. Last year alone we analyzed 1.3B calls, prevented close to half a billion in fraud losses, and authenticated 385M calls. Through these years we have expanded our technology, acquired a company, built trusted partnerships with some of the largest enterprises in the world, and most importantly, assembled the exceptional team that is Pindrop today. Our mission has expanded from securing voice to securing all real time interactions including those on video. For those of us who were here in the early days, I remember the magic of catching our very first fraudster "Williams" and his coterie of accomplices sitting out in West Africa. That moment represented something bigger than a single detection; it represented the beginning of a mission that still drives us today. Founders Day is a time to celebrate those milestones. But it is also a time to remember why Pindrop exists. When we started this company, we believed that voice and digital interactions could be trusted, and that fraudsters should never have the upper hand. Fifteen years later, that mission has only become more important. Today the world is entering a new era of fraud driven by AI, synthetic identities, and deepfake technologies. The scale and sophistication of attacks are increasing rapidly, and organizations across industries are struggling to keep up. But this moment is exactly why Pindrop was built. We are uniquely positioned to lead in this space. Our technology, our data, our expertise, and most importantly our people, give us the opportunity to define the future of fraud detection and identity protection. The work we do matters. Every fraud attempt we stop protects real people, real businesses, and real trust in digital communication. As we celebrate fifteen years, I encourage all of us to look forward with the same clarity and determination that guided us in the beginning. The opportunity ahead of us is enormous, and the need for what we build has never been greater. Thank you for everything you do every day to advance this mission. Here’s to the next chapter, and many more wins ahead.
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“AI fraud” used to mean the occasional celebrity deepfake story. Now the economics of AI attacks have changed: impersonation and social engineering are cheap to run, easy to automate, and hard to spot in real time. If you’re a CISO (or you own enterprise risk), the uncomfortable reality is that trust is becoming an attack surface, especially in places like: High-trust workflows like hiring IT help desks Executive financial transactions Contact centers This Pindrop article is a quick, practical overview of what AI fraud looks like, why it’s accelerating, and where it’s showing up. 👉https://lnkd.in/eYkjUBAg Worth the read if your security stack still leans on static questions, rules that assume low-volume attacks, or manual review as the safety net. In your opinion, what’s the most exposed “real-time trust” surface in your org right now: hiring, IT help desk, contact center, or something else?
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