Generative AI tools have enabled cybercriminals to craft convincing scams, including voice cloning to impersonate family members seeking money or manipulating authentic videos with “cheapfakes.” These tactics manipulate content to deceive individuals, creating a heightened challenge for consumers to discern between real and manipulated information.

In response to this challenge, McAfee Labs developed an industry-leading AI model, part of the Project Mockingbird technology, to detect AI-generated audio. This technology employs contextual, behavioural, and categorical detection models, achieving an impressive 90 percent accuracy rate.

Steve Grobman, CTO at McAfee, said: “Much like a weather forecast indicating a 70 percent chance of rain helps you plan your day, our technology equips you with insights to make educated decisions about whether content is what it appears to be.”

Project Mockingbird offers diverse applications, from countering AI-generated scams to tackling disinformation. By empowering consumers to distinguish between authentic and manipulated content, McAfee aims to protect users from falling victim to fraudulent schemes and ensure a secure digital experience.

Deep concerns about deepfakes

As deepfake technology becomes more sophisticated, consumer concerns are on the rise. McAfee’s December 2023 Deepfakes Survey highlights:

• 84% of Americans are concerned about deepfake usage in 2024
• 68% are more concerned than a year ago
• 33% have experienced or witnessed a deepfake scam, with 40% prevalent among 18–34 year-olds
• Top concerns include election influence (52%), undermining public trust in media (48%), impersonation of public figures (49%), proliferation of scams (57%), cyberbullying (44%), and sexually explicit content creation (37%)

McAfee’s unveiling of Project Mockingbird marks a significant leap in the ongoing battle against AI-generated threats. As countries like the US and UK enter a pivotal election year, it’s crucial that consumers are given the best chance possible at grappling with the pervasive influence of deepfake technology.

(Photo by Markus Spiske on Unsplash)

See also: MyShell releases OpenVoice voice cloning AI

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The world’s largest tech exhibition, CES is taking place at the Las Vegas Convention Centre (LVCC) from 5-7 January this year.

MicroAI has partnered with communications solutions provider iBASIS to showcase Launchpad’s management capabilities at booth 12318.

Using connectivity provided by iBASIS, the demo will show how Launchpad manages MicroAI software running on embedded devices and handles data from multiple sensors.

It will also highlight Launchpad’s ability to securely administer a fleet of SIM cards within the same portal, thus simplifying mobile device management for customers.

MicroAI CEO, Yasser Khan, said: “Edge-native AI enables embedded AI software to run on microcontrollers and microprocessors in endpoint devices, transforming how AI can be made available right where data is captured.

Launchpad provides a straightforward way for companies to manage this – opening up new opportunities across many industry sectors.”

The company’s new security software will also be on show at its booth. MicroAI Security uses a proprietary embedded AI algorithm to detect, alert, and visualise cyber security attacks in real-time, running directly on edge and endpoint connected devices.

Use cases range from standard cyber attack mitigation to protecting critical assets, IoT devices, and industrial systems.

MicroAI will be demonstrating how its software can be used by manufacturers at the Trump International Tower a mile west of the LVCC.

By collaborating with KDDI, who are providing an LTE network for the system, MicroAI will show how its software enables data from sensors in a factory to be analysed by edge AI algorithms.

MicroAI Grid then enables a manufacturer to link this with multiple sites around the world, automatically sharing data and intelligence.

Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo. The next events in the series will be held in Santa Clara on 11-12 May 2022, Amsterdam on 20-21 September 2022, and London on 1-2 December 2022.

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