AI Security • Agentic AI Security • Adversarial ML • LLM Security • Secure AI Systems

• 🔐 Working at the intersection of AI, cybersecurity, and adversarial machine learning
• 🧪 Researching AI agents, LLM security, MCP, prompt injection, and AI attack surfaces
• 🎤 Speaker at DEF CON, Ekoparty, DragonJARCON, PyCon, BSides, and academic events
• 📚 Author of three cybersecurity books, published by Editorial ICESI
• 👨‍🏫 Lecturer and instructor in AI security, ethical hacking, and cybersecurity
• 🌐 11+ years building AI, security, and data-driven systems

I am an AI security researcher and cybersecurity data scientist with over 11 years of experience building and analysing AI, security, and data-driven systems.

My current work focuses on AI Security, Agentic AI, Adversarial Machine Learning, LLM Security, Model Context Protocol (MCP), AI Red Teaming, and secure AI architectures.

I also create hands-on cybersecurity training, research prototypes, and technical content focused on understanding how AI systems can be attacked, evaluated, and defended.

• Agentic AI Security
• LLM & RAG Security
• Prompt Injection & Tool Abuse
• Model Context Protocol (MCP) Security
• Adversarial Machine Learning
• AI Red Teaming & Security Evaluation
• AI Threat Modelling
• Secure AI Architectures
• Threat Detection & Behaviour Analysis
• Responsible AI & Secure Deployment

Research project focused on agentic AI attack chains, including prompt injection, tool abuse, context manipulation, memory poisoning, and trust-boundary failures.

Defensive research project focused on securing Model Context Protocol ecosystems, tool permissions, capability boundaries, validation, and runtime controls.

Adversarial AI experimentation framework for evaluating and defending traditional machine learning and generative AI systems.

Adversarial fuzzing toolkit for LLMs and image classifiers, including jailbreak generation, perturbation pipelines, evaluation metrics, and red-teaming workflows.

• Cybersecurity: An Approach Based on Data Science
• Cybersecurity: Data Holds the Answer
• Cybersecurity: Data, the Seeds of Chaos

All published by Editorial ICESI.

• International speaker and instructor in cybersecurity and AI
• Author of three cybersecurity books
• Research experience in adversarial ML, AI security, and secure AI systems
• Developer of offensive and defensive AI security research projects
• Speaker and trainer across industry, academic, and security communities

Hack the Planet 🚀