Deepfake Detector

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Deepfake Detector is an AI-based tool designed to detect manipulated videos and audios created using AI. Detect Deepfakes Before They Spread

How Deepfake Detector can help you:

Identify and authenticate audio and video clips by distinguishing between genuine and AI-generated deepfakes.
Support media integrity and legal proceedings by ensuring the authenticity of audiovisual content.
Provide peace of mind in a digital environment increasingly populated by sophisticated AI-generated misinformation.

Why choose Deepfake Detector: Key features

User-friendly interface for easy upload and detection of deepfakes.
Quick results showing the probability of content being a deepfake, aiding in fast decision-making.
Designed to handle a wide range of audio and video clips, improving its applicability across various scenarios.

Who should choose Deepfake Detector:

Media professionals looking to verify the authenticity of content before publication.
Legal professionals requiring confirmation of audio/video evidence integrity.
Organizations and individuals aiming to protect their reputation against misinformation.

About Deepfake Detector

Website

https://deepfakedetector.ai

Release Date

March 2024

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Deepfake Defense in the Age of AI

The cybersecurity landscape has been dramatically reshaped by the advent of generative AI. Attackers now leverage large language models (LLMs) to impersonate trusted individuals and automate these social engineering tactics at scale. Let's review the status of these rising attacks, what's fueling them, and how to actually prevent, not detect, them. The Most Powerful Person on the Call Might Not Be Real Recent threat intelligence reports highlight the growing sophistication and prevalence of AI-driven attacks: In this new era, trust can't be assumed or merely detected. It must be proven deterministically and in real-time. Why the Problem Is Growing Three trends are converging to make AI impersonation the next big threat vector: And while endpoint tools or user training may help, they're not built to answer a critical question in real-time: Can I trust this person I am talking to? AI Detection Technologies Are Not Enough Traditional defenses focus on detection, such as training users to spot suspicious behavior or using AI to analyze whether someone is fake. But deepfakes are getting too good, too fast. You can't fight AI-generated deception with probability-based tools. Actual prevention requires a different foundation, one based on provable trust, not assumption. That means: Prevention means creating conditions where impersonation isn't just hard, it's impossible. That's how you shut down AI deepfake attacks before they join high-risk conversations like board meetings, financial transactions, or vendor collaborations. Eliminate Deepfake Threats From Your Calls RealityCheck by Beyond Identity was built to close this trust gap inside collaboration tools. It gives every participant a visible, verified identity badge that's backed by cryptographic device authentication and continuous risk checks. Currently available for Zoom and Microsoft Teams (video and chat), RealityCheck: If you want to see how it works, Beyond Identity is hosting a webinar where you can see the product in action. Register here!

The Hacker News

Tue, 13 May, 2:48 PM UTC

Deepfake Defense Shifts Focus to Real-Time Trust in AI Era

Real-time detection tools offer instant authenticity checks In a time when artificial intelligence powers innovation, it also powers lies. Deepfakes, hyper-realistic but artificial videos and audio that AI creates, are now among the most rapidly expanding digital security threats. Deepfakes were previously restricted to the entertainment and satire domains. In today's tech-driven environment, they have advanced to become instruments of fraud. As threats accumulate, the defense tactic is no longer confined to passive detection. Rather, it is moving towards real-time verification mechanisms that can immediately assess the validity of digital material. This transformation marks a fundamental change in the process of constructing and sustaining trust in the .

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Thu, 15 May, 8:36 PM UTC

Google Unveils SynthID Detector: A New Tool to Identify AI-Generated Content

Google has launched SynthID Detector, a verification portal designed to identify AI-generated content across multiple media formats, addressing concerns about misinformation and deepfakes in the digital age.

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Wed, 21 May, 4:09 PM UTC

YouTube Launches AI Likeness Detection Tool to Combat Deepfakes

YouTube has officially rolled out its AI-powered likeness detection technology to eligible creators in the YouTube Partner Program. This tool aims to help creators identify and remove unauthorized AI-generated content featuring their likeness, addressing growing concerns about deepfakes and misinformation.

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Tue, 21 Oct, 10:32 PM UTC

Trend Micro Launches Advanced Cybersecurity Suite to Combat AI-Based Threats and Deepfakes

Trend Micro introduces a comprehensive cybersecurity solution to protect consumers and enterprises against AI-generated threats, including deepfakes. The new suite combines advanced technologies to detect and prevent sophisticated cyberattacks.

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