Seyit Ali Kaya

  • Regional Manager, Eastern Europe, Central Asia, and Türkiye
  • Iris ID Systems

Seyit Ali Kaya is the Regional Manager of Iris ID Systems Inc., overseeing Eastern Europe, Central Asia, and Türkiye. With nearly two decades of professional experience in information technology, telecommunication, analytics, and biometrics, Seyit Ali has made significant contributions to various multinational high-tech companies and spearheaded numerous national and regional projects. His expertise spans diverse domains, including smart cities, data centers, telecommunication, border management, power plants, and biometrics among others.
Throughout his career, Seyit Ali has championed the use of technology to improve daily life, making it more secure, convenient, and cost-effective. He firmly believes that the foundation for the development and successful implementation of digital technologies and services used by governments, enterprises, and institutions lies in advanced identity authorization. Central to this vision is a strong link between individuals and their biometric data, enabling seamless and secure interactions.
Seyit Ali holds a degree in Computer Science from the prestigious Middle East Technical University, and he further honed his business acumen by earning an MBA from Hacettepe University. Committed to staying at the forefront of the ever-evolving digital landscape, he completed a Micro-Master of Science degree in digital technology and digital leadership from Questrom School of Business-Boston University.
Passionate about the transformative power of biometrics, Seyit Ali actively advocates for its widespread adoption to enhance daily life’s comfort and security. As the Regional Manager at Iris ID Systems Inc., he continues to lead the charge in driving innovation and forging strong partnerships in the realm of biometric identity solutions.


  • Technologies to Detect and Protect

    What are some of the latest and future technologies, from ground surveillance, space based or cyber technology, to predict or detect the wide range of potential threats to CNI.