Conference:  OWASP 20th Anniversary Event

Authors: Benjamin Fabre, Antoine V

2021-09-24

The presentation discusses the use of machine learning and various techniques to detect and block bad bots in real-time.

• DataDome collects billions of signals a day to detect bad bots
• Different approaches are used to obtain the best bot detection possible
• Machine learning techniques are used to detect credential stating attacks
• Verification of good bots is necessary but can be difficult
• Bad signatures can be extracted from different categories of signals
• A wide range of machine learning approaches are used to detect bad bots

Conference:  OWASP 20th Anniversary Event

Authors: Kavisha Sheth

2021-09-24

Kavisha is a Security Analyst by profession. She is a cloud security and machine learning enthusiast who dabbles in an application and API security and is passionate about helping customers in securing their IT assets. She spends time findings vulnerabilities and doing research for the same. She has been recognized by the Government of India for helping them in securing their websites. She has also been listed in the list of top security researchers of the nation, in a recent newsletter of NCIIPC RVDP.She believes in giving back to the community and frequently finds audiences to talk. She is also a cybersecurity speaker and love to share her views on various infosec threads. She has spoken at various security events and around the world including Defcon Cloud village, OWASP Bay area, OWASP Sofia, Null Bangalore, Bsides Noida, Infosec girl, and so on.