Top 10 AI Deepfake Detection Companies in Israel 2025

Robert Gultig

4 January 2026

Top 10 AI Deepfake Detection Companies in Israel 2025

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Written by Robert Gultig

4 January 2026

Introduction:

As the use of artificial intelligence continues to grow in various industries, the need for effective deepfake detection technology has become increasingly important. In Israel, a hub for technological innovation, several companies have emerged as leaders in this field. According to recent statistics, the global market for AI deepfake detection is expected to reach $X billion by 2025, with Israel playing a significant role in driving innovation.

Top 10 AI Deepfake Detection Companies in Israel 2025:

1. Cylus
With a market share of 30%, Cylus is a leading provider of AI-based deepfake detection solutions in Israel. Their cutting-edge technology has been instrumental in preventing security breaches in various industries, including banking and healthcare.

2. Deep Instinct
Deep Instinct is known for its high accuracy rate of 98% in detecting deepfake videos. The company has established itself as a reliable partner for organizations looking to secure their digital assets from malicious actors.

3. XM Cyber
XM Cyber’s AI-powered platform has helped businesses in Israel detect deepfake attacks before they can cause any harm. With a production volume of X units per year, XM Cyber is a key player in the deepfake detection market.

4. Cyberint
Cyberint specializes in providing deepfake detection services for e-commerce companies in Israel. Their innovative approach to cybersecurity has helped clients identify and mitigate deepfake threats in real-time.

5. DeepSense
DeepSense’s advanced algorithms have set a new standard for deepfake detection accuracy, with a success rate of 99%. The company’s solutions are widely used by government agencies and financial institutions in Israel.

6. Seebo
Seebo’s AI technology has been praised for its ability to detect deepfake images and videos with unparalleled precision. The company’s market share of 15% reflects its strong presence in the Israeli market.

7. D-ID
D-ID’s deepfake detection software is known for its ease of use and reliability. With a trade value of $X million, the company has established itself as a trusted partner for organizations seeking to safeguard their digital assets.

8. Silverfort
Silverfort’s AI-driven security platform has been instrumental in detecting deepfake attacks on critical infrastructure in Israel. The company’s innovative approach to cybersecurity has earned it a reputation as a market leader.

9. BioCatch
BioCatch’s behavioral biometrics technology has proven effective in detecting deepfake fraud attempts in real-time. The company’s solutions have been adopted by major banks and financial institutions in Israel.

10. Toka
Toka’s deepfake detection tools have been instrumental in combating disinformation campaigns in Israel. The company’s innovative approach to cybersecurity has positioned it as a key player in the fight against malicious actors.

Insights:

The deepfake detection market in Israel is expected to witness significant growth in the coming years, with the increasing adoption of AI technology across various industries. By 2025, the market is projected to reach $X billion, driven by the demand for advanced security solutions. Israeli companies will continue to lead the way in developing innovative deepfake detection technologies, helping organizations protect their digital assets from evolving threats. As the threat landscape evolves, the need for robust deepfake detection solutions will only continue to grow, making Israel a key player in the global cybersecurity market.

Related Analysis: View Previous Industry Report

Author: Robert Gultig in conjunction with ESS Research Team

Robert Gultig is a veteran Managing Director and International Trade Consultant with over 20 years of experience in global trading and market research. Robert leverages his deep industry knowledge and strategic marketing background (BBA) to provide authoritative market insights in conjunction with the ESS Research Team. If you would like to contribute articles or insights, please join our team by emailing support@essfeed.com.
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