Ohad Ohayon

Title: Ohad Ohayon: Innovator in Endpoint Behavior Detection

Introduction

Ohad Ohayon is a notable inventor based in Kadima-Zoran, Israel. He has made significant contributions to the field of technology, particularly in the area of endpoint behavior detection. With a total of 2 patents, Ohayon's work focuses on enhancing security measures in digital environments.

Latest Patents

Ohayon's latest patents include a groundbreaking method for context-informed abnormal endpoint behavior detection. This innovation involves generating adaptive normal profiles at a hierarchical scope that corresponds to a set of endpoints and processes. The system detects abnormal endpoint activity by verifying whether event data tracking aligns with these adaptive normal profiles. To minimize false positives, the method ensures that alarms correspond to normal endpoint activity. Abnormal event data is then forwarded to a causality chain identifier, which identifies abnormal chains of processes related to the detected activity. A trained threat detection model receives these abnormal causality chains and assesses the likelihood of them corresponding to a malicious attack, thereby indicating abnormal endpoint behavior.

Career Highlights

Ohad Ohayon is currently employed at Palo Alto Networks, Inc., a leading cybersecurity company. His work at Palo Alto Networks emphasizes the importance of advanced threat detection and response mechanisms in safeguarding digital infrastructures.

Collaborations

Ohayon collaborates with talented professionals in his field, including Shai Meir and Dany Cohen. These collaborations enhance the innovative processes and solutions developed within the company.

Conclusion

Ohad Ohayon's contributions to endpoint behavior detection represent a significant advancement in cybersecurity technology. His innovative patents and collaborative efforts continue to shape the future of digital security.