Research Grounded in Real-World Human Behavior
Exploring how emerging technologies, human decision-making and organizational practices intersect with cybersecurity.
The Invisible Leak
How Everyday AI Use Is Quietly Threatening India's Data Security
This research explores how routine use of generative AI tools can create unintentional data leakage risks inside organizations, transforming ordinary employees into accidental insider threats.
Research Summary
Generative AI has fundamentally changed how employees interact with information. From drafting emails to summarizing reports, workers increasingly rely on AI-powered tools to improve productivity. However, these same workflows may expose sensitive organizational information without malicious intent.
The Invisible Leak examines how organizations must evolve traditional insider threat, governance and security awareness programs to address emerging AI-related risks.
Major Research Observations
Human Behavior
Most AI-related data exposure occurs without malicious intent.
Visibility Gaps
Organizations often lack visibility into how employees use public AI tools.
Governance
Traditional policies struggle to address rapidly evolving AI adoption.
Current Interests
AI Security
Responsible use of generative AI and organizational safeguards.
Insider Threats
Behavior-driven cybersecurity risks inside organizations.
Privacy
Data protection and information governance.
Security Awareness
Human-centered approaches to cyber defense.
Research Roadmap
AI Governance Models
Evaluating governance frameworks for AI adoption.
AI & Insider Threat Detection
Studying practical approaches for detecting AI-assisted data exposure.
Human-Centered Cybersecurity
Researching how security controls can align with real employee behavior.
Research Collaboration
Interested in AI Security, Cybersecurity Research or Publications?
I welcome opportunities for collaboration, discussion and knowledge sharing.