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Pindrop

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  • Deepfake: Your throat can be "hacked"
    Deepfake: Your throat can be "hacked"
    Ben Cunningham, Director of Product Marketing Recorded: May 15 2019 27 mins
    As Artificial intelligence (AI) becomes more sophisticated, online tricksters have started leveraging machine learning techniques to tamper with audio and video to create very convincing fake content, now popularly known as “deepfakes.” With recent examples such as the Jennifer Lawrence and Steve Buscemi face swap during the Golden Globes press conference to Google’s addition of John Legend’s voice for the Google Assistant - these synthesized examples seem fun and harmless, but foreshadow the ways AI and machine learning can be weaponized for political and fraudulent purposes.

    During the same conference Google announced that John Legend was lending his voice to the Google Assistant, Google demonstrated the full power of WaveNet and their speech synthesis technology with Duplex – an AI assistant that had near-speech parity to that of a human by training a system on 24.6 hours of speech. With these tools now widely available, it’s looking more and more like a “Hack your throat” technique will be the attack of the future.

    In this new race of information vs. misinformation, what will new fakes and data breaches look like, and how will you defend against those types of attacks? Join this webinar to see and hear how a Deep Fake works as well as learn the types of strategies and technology organizations must consider implementing to stay ahead of these threats.
  • Emerging Threats in Your Call Center- Chatbots, Synthetic Voice and Leaky IVRs
    Emerging Threats in Your Call Center- Chatbots, Synthetic Voice and Leaky IVRs
    Elie Khoury, Principal Research Scientist and Manager, Ph.D Recorded: Apr 24 2019 20 mins
    AI presents exciting but uncharted territory. And as AI forges its way into organizations’ voice interface, like any disruptive technology, benefits for your organization exist alongside new opportunities for criminals to use this technology against you and your customer:.

    This webinar will explore potential pitfalls to your voice channels such as :

    - Synthetic voice -- the arrival of synthetic voice introduces a whole new realm of fraud possibilities and ethical debates
    - Chatbots and the new hacks fraudsters use to attack this channel
    - The leaky IVR and the newest brute force attack trends you may be overlooking
  • The Future of Voice, Fraud, and the Impact to Customer Experience
    The Future of Voice, Fraud, and the Impact to Customer Experience
    Benjamin Cunningham, Director of Product Marketing Recorded: Apr 17 2019 27 mins
    With physical and online information security always growing stronger and harder to crack, fraudsters gravitate toward the weakest link in your security—your contact center and voice channels. For many years, our annual fraud reports have shown that fraudsters increasingly exploit the phone channel. Fraud rates continue to increase every year, and this year is no different with a continued increase from 2016 (1 in 937 calls) and 2017 (1 in 638 calls), 47%.

    In this session, we will dive into this year’s fraud trends and emerging threats such as:

    -Fraud rates by industry, highlighting fraud trends in insurance, financial institutions, utilities, healthcare and retail
    -The data breaches and omnichannel security gaps that have impacted these trends
    -New fraudsters to watch out for like “Policy Marm”, “The Tourist” and “Chicken Little”
    -Vectors such as imitation replay attacks and voice modification software
    And more!
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  • PSA on Voice Security: Fraud Detection
    PSA on Voice Security: Fraud Detection
    Pindrop Recorded: Mar 12 2019 1 min
    What if fraudsters could steal your voice? It's possible with the sophistication of fraudsters we see these days. No piggy bank or account is safe unless you have the right security measures in place. Hear from an expert.
  • Pindrop at CES 2019 | A Note from John Chambers
    Pindrop at CES 2019 | A Note from John Chambers
    John Chambers Recorded: Mar 12 2019 11 mins
    John Chambers, the former chairman and CEO of Cisco joined Pindrop at CES 2019 for private event to discuss leadership, technology, and landing market transitions. As John says, “When you think about the future of any market transition, people get too excited too early, and that it takes much longer to develop than what most people think...but AI, security, and voice will move with tremendous speed”.
  • PSCU and Pindrop Block $1 Million in Fraud in One Month
    PSCU and Pindrop Block $1 Million in Fraud in One Month
    Pindrop & PSCU Recorded: Mar 11 2019 4 mins
    Last year, PSCU became the first credit union service provider to utilize Pindrop’s proprietary technology to fight call center authentication fraud. Pindrop added a layer of voice security and deep caller authentication to the nation’s largest credit union services provider.

    PSCU began testing Pindrop technology in the fourth quarter of 2017. Within the first month, more than 300 confirmed fraud situations were identified using the technology. With an average credit limit between $3,000 and $4,000, this equates to an estimated $1 million in savings, immediately confirming the immense value of the security solution.
  • Are these Call Center Fraudsters in your Phone Channel?
    Are these Call Center Fraudsters in your Phone Channel?
    Pindrop Recorded: Mar 11 2019 1 min
    Take a deeper dive into the minds of call center fraudsters with audio recordings taken from real fraud calls.
  • Pindrop Panorama: Anti-Fraud & Authentication
    Pindrop Panorama: Anti-Fraud & Authentication
    Pindrop Recorded: Mar 11 2019 3 mins
    Pindrop® Panorama leverages years of innovations in machine learning to provide authentication and anti-fraud solutions for today’s call center. With Pindrop, organizations can verify their callers in a customer-not-present environment while deterring fraudulent access to customer accounts and identities. Pindrop helps you recognize your customers and spot fraudsters based on their voice, device, and behavior.

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