Risk & Cybersecurity
OHMAD — Pipeline Ransomware Deception Framework
Sector-led deception and governance model using high-fidelity IT/OT mirrors and agentic AI concepts to generate early-warning intelligence against pipeline ransomware.
Role: Co-author (Columbia SIPA INAF U6518 team)
Situation
Ransomware against U.S. critical infrastructure pipelines exposes a strategic imbalance: attackers move first while defenders react late, and information-sharing must still respect legal and compliance constraints.
Decision question
Sector-led deception and governance model using high-fidelity IT/OT mirrors and agentic AI concepts to generate early-warning intelligence against pipeline ransomware.
Data and constraints
See method and results below for sample, coverage, and documented limits.
Method
Co-authored a proactive defense concept (Operational Honeypot Mirror for Adversary Disruption) and a governance/legal model aligning TSA, CISA, DOJ, and FBI information-sharing considerations with GDPR/HIPAA-style compliance concerns for operators.
Tools
- Cybersecurity policy analysis
- IT/OT deception concepts
- Governance & compliance framing
Deliverables
- 18-page final paper / framework write-up (December 2025)
Outcome / decision value
- Produced a structured proposal connecting technical deception concepts to interagency information-sharing and compliance constraints.