Enterprise software for enterprise risk and cyber fraud intelligence
Enterprise fraud, cyber threats, and financial crime require scalable threat intelligence and risk review processes that overwhelm security teams.
It provides real-time AI agents that automate threat intelligence, brand protection workflows, and large-scale risk reviews to detect fraud and financial crime.
Enterprise fraud, cyber, and security teams at large organizations use it to scale investigations and monitoring.
I started my career as an Australian diplomat, during which time I analyzed geopolitical and cyber risk across APAC and writing Australia's Cyber Engagement Strategy. I then studied the intersection of technology and risk at Harvard on a full Fulbright scholarship. I've since led risk teams at Stripe and Google Search before founding Overwatch to help those teams get ahead of emerging cyber, fraud, and financial crime risks.
Co-founder / CTO at Overwatch Data Zara studied Artificial Intelligence and Cybersecurity at MIT LIDS/CSAIL focusing on active learning for malware detection and risk-limiting post-election audits. After graduating, Zara worked on Google Assistant then at Google’s Threat Analysis Group, where she built machine learning and software systems to use threat intelligence and malware analysis to better protect against targeted threats and disinformation by state sponsored actors.


