CloudSEK, a provider of AI-driven cybersecurity solutions, has debuted Deep Fake Detection Technology, which is now available for free. The company says this initiative is part of its commitment to providing society with resources to combat cybercrime.
Advanced Deep Fake Detection Technology
CloudSEK has developed an advanced DeepFake Detector designed to identify and mitigate the risks of deep fake content.
The technology calculates an overall Fakeness Score by integrating several sophisticated analyzers:
- Video Fakeness Analyzer: Detects manipulated faces in video frames.
- Audio Fakeness Analyzer: Identifies synthetic sounds and altered speech patterns.
- Facial Coherence Analyzer: Checks for unnatural transitions in facial expressions and movements.
- Texture Uniformity Analyzer: Inspects inconsistencies in skin and background textures.
- Audio Transcriber and Summary Generator: Transcribes audio and summarizes key points.
Promoting Cybersecurity Awareness
By offering this technology for free, CloudSEK aims to enhance the cyber resilience of the digital world and help people and companies protect themselves against the growing threat of deep fakes.
Bofin Babu, Co-Founder of CloudSEK, said: “Our mission to predict and prevent cyber threats extends beyond corporations. That’s why we’ve decided to release the Deepfakes Analyzer to the community.”
CloudSEK’s research team has noted an alarming misuse of deep fake technology across various industries. Using their deep fake analyzer, the team has found many online phishing campaigns, financial scams, and misinformation efforts.
These findings highlight the urgent need for robust detection and mitigation tools to combat the growing threat of deep fakes.
All Sectors Are at Risk
In the BFSI sector, deep fakes are used for Video KYC Fraud, Ghost Fraud, and Stock Manipulation. The healthcare sector faces threats like disinformation, manipulated medical records, and doctor impersonation. Government entities are at risk from election interference, incitement of violence, and legal implications due to false evidence.
Deep fakes promote fake news and fraudulent advertisements in the news and media sector. They also challenge the IT and telecom sectors, damaging brand reputations and driving financial scams.
The Way Forward
CloudSEK’s technology features tools to identify and mitigate these threats effectively. Those wishing to use the company’s tools can follow these steps:
- Visit the Community Portal: Go to CloudSEK Community.
- Log In: Sign in using your GitHub, Google, or corporate email account.
- Access the Deep Fake Analyzer: Click on the “Deepfake Analyzer” tool.
- Submit Video Link: Paste the video URL you wish to analyze (Facebook, Instagram, X, YouTube).
- Processing: The analyzer will assess the video using various modules. This may take up to 2 minutes.
- View Results:
- Video Description: Check the video’s description for key insights.
- Key Targets: See any organizations or individuals mentioned in the video.
- Fakeness Score:
- Above 70%: AI-generated content.
- 40-70%: Dubious, possibly a mix of original and deep fake elements.
- Below 40%: Likely human-generated content.
CloudSEK issued a caveat that if the video quality is low (240p or less), the analysis may not be accurate, as the frames may be unrecognizable.
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