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Our identities face unprecedented threat.
Among these threats are deepfakes: synthetic media used to impersonate real individuals.
Over the past year, these fraudulent impersonations have surged, targeting individuals across various platforms.
While deepfakes have been circulating online since 2017, their impact has recently escalated.
Exacerbating the issue is the need for more awareness among the general public.
The first step in addressing the deepfake challenge tocybersecurityis raising awareness and adopting proactive strategies to combat the threat.
But where should organisations begin?
Senior Director, Product Management at Ping Identity.
Multiple layers of authentication are necessary to safeguard against these threats without compromising the user experience.
This is where passive authentication, particularly passive identity threat detection, becomes crucial.
Deepfakes are often used to socially engineer victims, exploiting channels like voice, images, andvideoover unauthenticated platforms.
AI, while contributing to the deepfake problem, also offers solutions to mitigate it.
To reduce the prevalence of deepfakes, organizations must harness emerging technologies designed to detect these fraudulent media.
As AI technology continues to evolve, we can expect the development of even more sophisticated deepfake prevention methods.
As with any cybersecurity threat, the best protection comes from being one step ahead.
The more prepared organizations are for potential deepfake attacks, the better they can protect against future threats.
We’ve listed the best internet monitoring tools.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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