Lalisa Deepfakes (2025)

FAQs

What is the solution to deepfakes? ›

To combat such abuses, technologies can be used to detect deepfakes or enable authentication of genuine media. Detection technologies aim to identify fake media without needing to compare it to the original, unaltered media. These technologies typically use a form of AI known as machine learning.

The effectiveness of these deepfake detection tools is quantitatively emphasized, with several tools reporting specific accuracy rates. Sensity.ai is reported to have an accuracy score of up to 95%, making it highly effective in identifying deepfakes across large datasets.

Bradley Intelligence Report

Audio deepfakes are becoming more common. The technology uses artificial intelligence to analyze audio data, discerning patterns and characteristics of a target voice, and recreate a clone of that voice that can be used to say anything the programmers like.

Indiana, Texas, and Virginia are among the states that have made the creation of nonconsensual deepfakes punishable by jail time. Many states, however, don't yet have laws that make the creation or distribution of deepfakes illegal, or give victims the right to sue.

Is it illegal to download deepfakes? Downloading deepfakes isn't universally illegal but becomes so when the content violates laws, such as pornographic deepfakes created without the consent of the individual featured. Furthermore, downloading copyrighted material can lead to accusations of copyright infringement.

Deepfake's legal standing is tricky and changing. This harmful content is not intrinsically outlawed but can breach the law. This is especially true if they infringe on privacy, intellectual property, or involve defamation, harassment, or fraud. The tricky part is that current laws weren't made with deepfakes in mind.

Not only has this technology created confusion, skepticism, and the spread of misinformation, deepfakes also pose a threat to privacy and security. With the ability to convincingly impersonate anyone, cybercriminals can orchestrate phishing scams or identity theft operations with alarming precision.

But AI can also be used to detect AI-generated deepfakes. And the good news here is, even as deepfake creation evolves, so too will AI-powered deepfake detection technologies. Several detection tools are available today that ingest large sets of deepfake images, video and audio.

Are deepfakes a threat? ›

Illicit Uses for Deepfake Technology

Cyber criminals can use deepfake technology to create scams, false claims, and hoaxes that undermine and destabilize organizations.

The FCC's ruling deemed calls made with AI-generated voices "artificial" under a 1991 federal law aimed at curbing junk calls. It means the FCC can fine violators and block the telephone companies that carry the calls.

Deepfakes are increasingly used for identity theft

These corporate attacks can put anyone at a heightened risk for identity theft, as some are designed to gain access to a company's sensitive (and highly valuable) customer data.

Scammers can use AI tools to clone the voices of you and your family—how to protect yourself. A young woman using voice recognition software on a smartphone.

The liveness detection step must use advanced AI and machine learning models that have been trained on a variety of real-world data. This step is absolutely crucial for stopping fraudsters who can now easily create very lifelike deepfakes that easily fool older identity verification technology.

To achieve this, deepfake detection solutions typically use a combination of deep learning algorithms, image, video, and audio analysis tools, forensic analysis, and blockchain technology or digital watermarking—all of which help the solution to identify inconsistencies undetectable to the human eye.

Multiple technology-based detection systems already exist today. Using machine learning, neural networks and forensic analysis, these systems can analyze digital content for inconsistencies typically associated with deepfakes.

For instance, having automatic checks built into any process for disbursing funds would have stopped many Deepfake and similar frauds. You can also: Ensure employees and family know about how Deepfaking works and the challenges it can pose. Educate yourself and others on how to spot a Deepfake.