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Dr Petar Radanliev

Professional Masters Programme Project Supervisor, Department of Computer Science

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About

Dr Petar Radanliev researches offensive security for agentic AI and autonomous multi-agent systems. He develops automated exploit pipelines and code-level red-teaming frameworks combining algorithmic fuzzing, prompt injection, tool-invocation abuse, model inversion and data poisoning. His work targets attack surfaces and coordination failures across Agent2Agent (A2A) networks, Model Context Protocol (MCP) integrations and quantum-resistant infrastructures, converting adversarial research into reproducible penetration-testing simulations for vulnerability discovery and secure deployment.

Expertise

  • Algorithmic red teaming
  • Agentic AI & multi-agent security
  • Offensive cyber operations
  • Adversarial machine learning
  • Automated exploit pipelines
  • Generative AI penetration testing
  • Agent2Agent protocol vulnerabilities
  • AI software supply chain attacks
  • Post-quantum cryptographic break scenarios
  • Distributed & blockchain system vulnerabilities
  • AI-driven malware analysis.

Media experience

Dr Petar Radanliev has experience providing commentary on state-sponsored cyber operations and autonomous AI weaponisation, translating complex multi-agent vulnerabilities into national security insights as seen in his analysis for the BBC on agentic communication risks and The Times on large-scale espionage profiles.

Watch online

Dr Petar Radanliev has three YouTube channels:

Languages

Welsh, Macedonian, Serbo-Croat, Greek, Bulgarian


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