Christos Kalyvas-Kasopatidis 🦉
Christos Kalyvas-Kasopatidis
(he/him)

AI Security Architect · Vulnerability Intelligence

0000-0003-0901-3580

About Me

I work where AI systems meet adversaries: securing the models, agents and pipelines organisations now depend on, and using AI to make cyber defence faster and more anticipatory. My background spans enterprise cyber defence, large-scale data engineering and a decade of academic research in machine learning and multi-objective optimisation.

In industry I have authored an organisation-wide AI security plan, built AI asset visibility and shadow-AI detection, red-teamed LLM guardrails before adoption, and run reliability and security for a large-scale vulnerability intelligence service. I hold a PhD in Intelligent Big Data Management, an MSc in Information and Communication Systems Security and a BSc in Mathematics from the University of the Aegean, with 7 publications and 177 citations.

Download CV
Interests
  • Security of AI & LLM systems (prompt injection, guardrails, agentic AI)
  • Vulnerability & threat intelligence
  • AI for cyber defence
  • Machine learning & multi-objective optimisation
Education
  • PhD in Intelligent Big Data Management

    University of the Aegean

  • MSc in Information and Communication Systems Security

    University of the Aegean

  • BSc in Mathematics

    University of the Aegean

📚 My Research

I work on the security of AI systems and on AI for cyber defence: AI security plans and controls, shadow-AI detection, prompt-injection testing and guardrail evaluation, and agentic AI threat modelling.

Alongside this I work on vulnerability intelligence, and my academic background is in machine learning and multi-objective (skyline / Pareto) optimisation over big data.

Please reach out to collaborate 😃

Focus Areas
AreaWhat I work on
Security of AIAI security strategy and control design · prompt-injection and guardrail evaluation · agentic AI threat modelling · AI asset visibility and unsanctioned (shadow) AI detection
AI for securityAgentic workflows for security operations · ML detection engineering · AI-assisted code review and penetration-test reporting
Vulnerability & threat intelligenceExploitation forecasting (KEV / EPSS) · advisory standards (CSAF) · CTI fusion with geopolitical and narrative signals
Decision intelligenceMulti-objective (Pareto / skyline) methods for ranking risk, choosing controls and briefing leadership under uncertainty
Featured Publications
Recent Publications
(2020). A skyline-based decision boundary estimation method for binominal classification in big data. Computation.
DOI
(2020). A skyline-based decision boundary estimation method for binominal classification in big data. SEEDA-CECNSM 2020.
DOI
(2019). Skyline and reverse skyline query processing in SpatialHadoop. DKE.
DOI
(2017). A survey of skyline query processing. arXiv.
(2017). Processing skyline queries in temporal databases. SAC 2017.
DOI