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Briella009/README.md

Hi, I'm Blessing Ezeobioha πŸ‘‹

Cybersecurity Practitioner | AI Security Researcher | Threat Intelligence | Digital Health Security

I work at the intersection of cybersecurity, artificial intelligence, threat intelligence, privacy, and digital health security, with a growing focus on building trustworthy and explainable AI systems for security-sensitive environments.

I bring 4+ years of cybersecurity experience spanning SOC operations, digital forensics and incident response, threat intelligence, security governance, risk and compliance.

Alongside my professional work, I build open-source security and AI projects and conduct applied research around trustworthy AI, AI security, cybersecurity governance, explainable systems, and secure digital health technologies.


πŸ”¬ Research Interests

  • Trustworthy & Explainable AI
  • AI Security & Adversarial AI
  • Cyber Threat Intelligence
  • Digital Health & Healthcare Cybersecurity
  • Privacy & Data Governance
  • Cybersecurity Governance & Risk Management
  • Human-Centred Security
  • Security Operations & Incident Response
  • Responsible AI for High-Risk Systems

πŸš€ Featured Research & Open-Source Projects

πŸ›‘οΈ TriageBloom

Privacy-first, explainable security log triage for SOC analysts and incident responders.

TriageBloom explores deterministic and explainable security triage with ATT&CK-aligned detections, incident traceability, pseudonymisation, and analyst-readable outputs.

Focus: SOC Automation β€’ Explainable Security β€’ Threat Detection β€’ DFIR β€’ MITRE ATT&CK

View TriageBloom


🧠 BGNexa-AI

Evidence intelligence for cybersecurity, privacy and regulatory readiness.

BGNexa-AI explores how structured AI-assisted evidence analysis can support security assessments, compliance workflows, control validation and governance decision-making.

Focus: AI Governance β€’ GRC β€’ Cybersecurity Assurance β€’ Evidence Intelligence

View BGNexa-AI


πŸ₯ ClinDrift

AI-assisted monitoring of clinical information drift and safety-relevant inconsistencies in digital health systems.

ClinDrift investigates how changes in clinical information can be identified, structured and assessed to support safer and more trustworthy AI-enabled healthcare systems.

Focus: Digital Health β€’ Trustworthy AI β€’ Clinical AI Safety β€’ Information Drift

Currently under active development.


πŸ“š Research

My current research explores the convergence of AI, cybersecurity, digital health and governance, with particular interest in how AI-enabled systems can remain secure, explainable and trustworthy in high-risk environments.

Current and developing research themes include:

  • AI-driven cybersecurity for electronic health records
  • Zero Trust and AI-based risk management in digital health
  • Trustworthy agentic AI for cybersecurity
  • Explainable AI for cyber threat intelligence
  • Human factors and adoption of privacy-enhancing technologies
  • Security governance for AI-enabled healthcare systems
  • Explainable and privacy-preserving security triage

πŸ“„ Publications & Research Activity

My academic and applied research includes work across:

Artificial Intelligence β€’ Cybersecurity β€’ Threat Intelligence β€’ Digital Health β€’ IoT Security β€’ AI Governance

I have presented research internationally, including work involving Explainable AI and Cyber Threat Intelligence, while developing additional manuscripts for journal and conference publication.

Research outputs, datasets and reproducible implementations will increasingly be made available through my GitHub repositories.


🎀 Speaking & Knowledge Sharing

I contribute to cybersecurity education and professional knowledge sharing through:

  • Cybersecurity conference and industry presentations
  • Threat intelligence and SOC training
  • Digital forensics and incident-response education
  • AI security and governance discussions
  • Cybersecurity mentoring and workshops

My speaking interests include:

Threat Intelligence β€’ SOC & DFIR β€’ AI Security β€’ Cybersecurity Governance β€’ Digital Health Security


πŸ’Ό Professional Focus

My cybersecurity experience spans:

Threat Intelligence SOC Operations Digital Forensics & Incident Response Security Governance, Risk & Compliance Security Monitoring & Threat Hunting MITRE ATT&CK OSINT AI Security Digital Health Security

I currently work in cybersecurity while pursuing advanced study and research in artificial intelligence.


πŸ§ͺ Current Focus

I am currently building and researching systems around:

  • Explainable security automation
  • AI-assisted cybersecurity evidence analysis
  • Trustworthy AI for digital health
  • AI governance and security assurance
  • Reproducible cybersecurity research

I am particularly interested in PhD research and research collaborations involving cybersecurity, trustworthy AI, digital health security, privacy, and AI governance.


🀝 Research & Collaboration

I am open to collaboration in:

  • Cybersecurity and AI research
  • Trustworthy and Responsible AI
  • Digital Health Security
  • Cyber Threat Intelligence
  • AI Governance
  • Privacy and Security Engineering
  • Open-Source Security Research

🌐 Academic & Professional Profiles

ORCID LinkedIn Portfolio GitHub

Research & collaboration: Cybersecurity β€’ Trustworthy AI β€’ AI Security β€’ Digital Health Security β€’ Threat Intelligence β€’ AI Governance


Research direction

Building trustworthy, explainable and secure AI systems for cybersecurity and high-risk digital environments.

Pinned Loading

  1. Triagebloom Triagebloom Public

    Privacy-first, explainable security log triage for SOC analysts, cybersecurity learners, and incident responders.

    Python 1

  2. ClinDrift ClinDrift Public

    Research prototype for detecting clinically significant information drift in AI-transformed health records, with evidence traceability and human-review safeguards.

    Python

  3. BGNexa-AI BGNexa-AI Public

    BGNexa AI β€” Evidence intelligence for cybersecurity, privacy and regulatory readiness.

    Python 2