Tanvir Islam

Tanvir Islam

Staff Data Scientist

Tanvir Islam is a staff data scientist at Okta, working at the intersection of Machine Learning and Security. With expertise in anomaly detection, statistical modeling, and artificial intelligence, he leads the development of data-driven systems to defend against emerging cybersecurity threats. His passion lies in developing innovative solutions that leverage the power of machine learning to enhance security measures, mitigate risks, and prevent fraud.

Navigating credential and fraud risks: The phishing resistance authenticator effect

Image generated using DALL·E 2   This blog explores the robust security benefits of phishing-resistant authenticators, which can significantly bolster an organization’s cybersecurity measures beyond the scope of phishing attacks. The percentage of phishing-resistant authentications serves as a tangible indicator of an organization’s proactive use…
By Tanvir Islam Deepa Mahalingam in Engineering
May 2, 2024

How Okta uses machine learning to automatically detect and mitigate toll fraud

  International revenue share fraud (IRSF), also known as toll fraud, is a type of fraud where fraudsters artificially generate a high volume of international calls/SMS on expensive routes. Here’s how it works. Fraudsters exploit Okta’s authentication flow and make expensive phone calls and/or texts as part of the MFA flow where phone/text is used…
By Murad Akhundov Tanvir Islam in Company + Product Engineering
May 31, 2023

Categories

Engineering 2
Company + Product 1

Tags

MFA
ThreatInsights
mobile devices
security
phishing resistance
Phishing-Resistant MFA
credential theft
fraud
phishing