Our Mission
Reduce organizational risk from social engineering — systematically, measurably, continuously.
Organizations are flying blind
Most organizations have no clear picture of their social engineering attack surface — which departments are most exposed, which employees are highest risk, or which channels attackers are most likely to exploit.
Annual security awareness training doesn't move the needle. It creates the appearance of compliance while leaving the real attack surface unaddressed — and AI is making targeted, multi-channel attacks cheaper and faster than ever.
A systematic approach to risk
Parable gives organizations a complete picture of their human attack surface and the tools to reduce it. We map your highest-risk entry points, simulate real attacks across every channel, and measure how your risk score changes over time.
The goal isn't just awareness — it's measurable, defensible risk reduction that satisfies compliance requirements, informs security strategy, and builds genuine organizational resilience against the threats that matter most.
Beyond the organization
Social engineering isn't just a corporate problem. Fraud, scams, and manipulation cost individuals billions every year — and the same AI tools making enterprise attacks more sophisticated are being turned on everyday people.
Our deeper mission is to build a world where no one — employee or individual — falls victim to social engineering. We start with organizations because that's where the leverage is highest, but the skills and instincts we build in the workplace carry over into every aspect of life.
Our team

Felix Awah, CEO
Felix Awah is an MBA candidate at MIT Sloan (MBA'27) with a background in Process Engineering and Data Science from McGill University. He previously held senior roles across Big Pharma and Fintech, spanning process engineering, R&D, and technical operations, where he partnered with IT teams to deploy cybersecurity training and operational controls. His work focuses on designing secure, auditable systems and scalable processes in highly regulated environments. Felix brings operating experience across Africa, North America, and the Middle East, combining rigorous systems thinking with entrepreneurial execution. He has founded multiple ventures, supported startups on go-to-market strategy and growth, and led nonprofits advancing education, entrepreneurship, and humanitarian initiatives.

Peter Jang, CTO
Peter Jang is a cybersecurity engineer and former U.S. Army Cyber Warfare Officer with experience in software engineering and security engineering supporting defense and national security organizations. He holds a Master's degree in Computer Science from the Georgia Institute of Technology and a Bachelor of Science from the United States Military Academy at West Point. Peter is currently an MBA candidate at the MIT Sloan School of Management and holds multiple cybersecurity certifications

Luiz Felipe Neder Reis, CFO
Luiz Felipe Neder Reis is a first-year MBA candidate at the MIT Sloan School of Management, where he focuses his studies on Finance and Innovation. He holds a bachelor's degree in economics from Insper. Prior to Sloan, Luiz worked at YvY Capital, where he focused on evaluating and executing private investments in infrastructure and real assets. Before that, he spent four years at UBS in São Paulo, where he progressed to Associate Director in the Investment Banking division, advising companies on capital markets and M&A transactions. Through these experiences, Luiz developed strong analytical and problem-solving skills, as well as experience working on complex projects alongside founders, management teams, and investors.

Jose Garcia, COO
Jose Garcia is a first-year undergraduate student at Harvard College, where he studies Computer Science and Statistics. Jose has experience as a current software engineer for Harvard Tech for Social Good, where he is working within a team to build software solutions for non-profit organizations. Additionally, Jose has prior experience with Harvard Data Analytics Group, where he practiced applied data science and machine learning techniques for client-based insights. Jose is passionate about using technology to solve real-world problems and is eager to continually develop himself as a better programmer and problem solver.
