Niharika Gehani

Niharika is a seasoned cybersecurity professional with over 10 years of experience in application security and a deep interest in security threat modeling. Currently residing in Ottawa, Canada, she works with EPAM Systems as a Senior Security Systems Engineer. In her current role, Niharika conducts threat modeling for applications in the healthcare industry, addressing unique challenges and ensuring robust security measures. Her work involves analyzing potential threats, identifying vulnerabilities, doing risk analysis, and implementing effective security strategies to protect sensitive healthcare data.

Throughout her career, Niharika has developed a comprehensive understanding of the complexities involved in securing applications and mitigating potential threats. Her passion for threat modeling has driven her to explore both manual and automated approaches, striving to create a resilient security posture that adapts to the evolving threat landscape.

This is my first time as a speaker, and I am excited to share my knowledge and insights with a broader audience. I hope that my talk will provide valuable perspectives and practical strategies to enhance security practices in today's rapidly evolving digital landscape. My goal is to help others understand the importance of threat modeling and how it can be effectively integrated into their security frameworks to protect against sophisticated cyber threats.


Session

10-19
15:30
25min
Deciphering Threat Modeling: Balancing Tools and Manual Approaches for Effective Security
Niharika Gehani

In the ever-evolving landscape of cybersecurity, threat modeling has become a cornerstone for identifying, assessing, and mitigating potential security risks. The process involves various techniques, each with its own set of advantages and limitations. This talk, titled "Deciphering Threat Modeling: Balancing Tools and Manual Approaches for Effective Security," delves into the intricacies of threat modeling by exploring both automated tools and manual methodologies.

ENG 103