AI Governance Consulting
of organizations say they'll institute an AI ethics program
Without clear guardrails, AI systems can introduce bias, security vulnerabilities, legal exposure, and reputational risk. A lack of oversight is one of the leading reasons AI initiatives stall or fail to scale.
Adopt a responsible AI governance program that establishes accountability, escalation paths, decision rights, and oversight structures across your AI lifecycle.
Evaluate risks across your AI use cases using qualitative and quantitative assessments to identify, assess, and mitigate threats while ensuring compliance.
Comprehensive AI ethics and literacy training for employees and stakeholders, enabling them to understand AI's opportunities, risks, and obligations.
Independent audits to evaluate AI systems for fairness, accuracy, security, and compliance—ensuring accountability and informed governance.
🛡️
Navigate EU AI Act, NIST AI RMF, and internal policies to avoid reputational damage.
📈
Advance accountability, decision rights, and oversight structures across your AI lifecycle.
👥
Create an AI-capable workforce that recognizes opportunities and risks while advancing goals.

When people talk about the darknet, they often focus on its secrecy or its scale—but my team and I wanted to understand its operational vulnerabilities. In this study, we looked at how darknet offenders avoid risk—and more importantly, how those strategies could be disrupted to increase their perceived risks and reduce rewards.
Title: Towards a Conceptual Typology of Darknet Risks
Authors: Ogbanufe, O., Wolfe, J., & Baucum, F.
Study Sample: Qualitative analysis of darknet platforms, transaction scripts, risk behaviors, and disruption tactics
Research Objective: To conceptualize a typology of darknet risks based on offender profiles and risk origins, and identify low-resource strategies for disrupting their operations.
Link to publication: https://www.tandfonline.com/doi/full/10.1080/08874417.2023.2234323
Typology of Risk: We developed a model of four darknet risk categories across two dimensions—target (vendors/operators vs. buyers/users) and origin (internal vs. external).
Crime Script Lens: Darknet operations follow known sequences—from onboarding, encryption, and account setup to transactions and delivery—each with identifiable risk points.
Risk Avoidance Disruption: Offenders reduce risk through encryption (PGP), anonymity tools (Tor), stealth shipping, and more. We found that social disruptions (e.g., gossip, slander, Sybil attacks) can be more effective and sustainable than expensive tech or legal shutdowns.
Internal to Buyers: Harm (e.g., bad drugs), scams
External to Buyers: Detection and arrest by law enforcement
External to Vendors: Detection, arrest, and marketplace shutdowns
Internal to Vendors: Reputation damage and scams
Organizations and governments looking to deter illicit cybercrime must understand offenders’ behaviors and risk calculus. This study suggests:
Investing in social disruption campaigns on forums (gossip, fake reviews, etc.)
Targeting reputation mechanisms to decrease trust between buyers and sellers
Avoiding over-reliance on expensive tech-based takedowns
Think Beyond Firewalls: Include darknet exposure and social engineering in your governance risk assessments.
Integrate Crime Script Thinking: Map potential vulnerabilities in online supply chains and criminal scripts.
Promote Cross-sector Collaboration: Join forces with PR, legal, and intel agencies for non-tech-based disruption.
Prioritize Low-Resource Interventions: Social and reputational attacks cost less but yield significant behavioral change.
Cybersecurity and national security increasingly overlap. Understanding illicit cyber economies like darknet marketplaces is essential to proactive governance. This typology equips leaders with a framework to target and disrupt risk avoidance strategies where it matters most: offender psychology and operations.
About the Author
Dr. Obi Ogbanufe is a researcher and consultant with expertise in AI governance, cybersecurity risk, and digital threat mitigation. Her work translates complex research into practical strategies for organizations navigating the intersection of security, ethics, and resilience.
Helping professionals build meaningful careers in AI, AI Governance, and organizations build AI systems people can trust.
Resources
Services
Connect
© 2026 Obi Ogbanufe. All rights reserved.