Hello! I’m Keerthana Madhavan, a cybersecurity professional with a strong foundation in AI and software development. With a proven track record of success in cybersecurity frameworks, vulnerability management, and AI compliance, I bring a unique blend of technical expertise and practical experience to help businesses and organizations stay secure in an ever-evolving digital landscape. Highlights of My Career: • Invited Speaker: Delivered a session on “How to Start a Career in Cybersecurity” for Canada’s Nuclear Laboratories, guiding aspiring professionals on building successful paths in the cybersecurity domain. • GeekWeek Participant (2023): Selected to attend the invitation-only cybersecurity workshop hosted by the Canadian Centre for Cyber Security. Collaborated with leading cybersecurity experts to develop innovative solutions using cutting-edge tools and methodologies. • Awards and Recognitions: • Recipient of the prestigious SANS Institute Security Training Scholarship (Top 100 out of 938 applications). • Honored with the Women in Cybersecurity Scholarship (2020, 2021) to attend WiCyS conferences. • Finalist for WEtech Alliance Women in Tech Award (2021, 2022). • Honorable Mention in NetX Machine Learning Case Study Competition (2021). • Top 75 participant in the Communitech Code/Design to Win Challenge (2018). • Recognized as the Youngest Undergraduate Presenter at the Canadian Undergraduate Computer Science Conference (2019). Passionate about bridging the gap between cybersecurity and AI, I focus on creating practical solutions for risk management, secure AI systems, and compliance. I have worked on projects ranging from Active Directory risk scoring frameworks to GenAI compliance standards, and I’m always eager to collaborate on new challenges. I take pride in giving back to the cybersecurity and AI communities. Whether through mentoring, speaking at events, or participating in collaborative workshops like GeekWeek, I strive to foster innovation and inspire the next generation of cybersecurity professionals.