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Cyabra

7 stories about Cyabra

Cyabra volunteering day 12th April

Watch how Cyabra uses its capabilities to uncover Pro-Hamas fake news and propaganda

23.10.23|Tech On Duty in collaboration with Poalim Tech

Social threat intelligence company Cyabra identified and uncovered thousands of fake profiles spreading pro-Hamas content.

Ctech Tech TLV Assaf Danby

"We need a platform to authenticate what is being said online"

02.12.22|Noa Gadot

"We were selected to authenticate all the bots and spam accounts on Twitter. We looked at millions of profiles and found around 11% to be fake accounts, and that is just from a random sample," said Assaf Danby, VP Global Sales at Cyabra

Emmanuel Heymann Cyabra

Cyabra hires SVP Revenue to open NYC Office and accelerate hiring

Emmanuel Heymann will be growing Cyabra's Go-To-Market operations and help expand its presence in the U.S. as well as hiring and scaling the team

סטודנטים אוניברסיטת תל אביב אוניברסיטאות השכלה אקדמית

Tel Aviv University Backs Two Cybersecurity Startups

07.08.19|Meir Orbach

Tel Aviv University, through its investment arm TAU Ventures, has invested $2 million in fake profile-identifying startup Cyabra and $1.5 million in encryption startup GlobeKeeper

נדב ארגמן ראש השב"כ 2018

Israel Security Agency, Tel Aviv University Venture Arm Announce First Accelerator Cohort

04.07.18|Hagar Ravet

Seven startups in the domains of artificial intelligence, natural language processing technologies, data science and robotics were chosen for the first cohort of the program

סטיבן מנושין סטיבן מנוצ'ין שר האוצר ארה"ב

CTech’s Weekly Roundup of Israeli Tech News

Two cybersecurity companies with links to Israel placed on U.S. blacklist. Startup with Israeli intelligence bona fides offers defense against fake news

מייסדי Cyabra מימין עידו שרגא סנדי פרנג'י יוסף דאר דן ברמי

Startup With Israeli Intelligence Bona Fides Offers Defense Against Fake News

11.06.18|Raphael Kahan and Asaf Shalev

Tel Aviv-based Cyabra uses a deep learning and big data-based algorithm to identify patterns typical of fake profiles, avatars, or bots