Introduction
At the AI Resilience Hub Village, we explore the latest developments in artificial intelligence and its application in cybersecurity. Our goal is to build resilient AI models and systems that defend against modern-day threats.
Join us at Ekoparty for a series of engaging talks and hands-on workshops where you can learn about AI applied to both attack and defense strategies. We're committed to sharing knowledge and pushing the boundaries of what's possible in the field of AI security.
Workshops & Talks
Our workshops cover a range of topics, from building robust AI systems to understanding how AI can be applied in penetration testing and defense. Speakers will share insights on securing machine learning models and detecting threats in real-time environments.
Schedule
| Talk Title |
Speaker(s) |
Day and Time |
Room |
| AI in the Classroom: From Concern to Opportunity |
Federico Brest |
Day 1, 12:00 hs |
Room C2 |
| Attack and Defense with AI in Power Generation, Transmission and Distribution Systems |
Matias Bernardelli - German Rubbo - Damian Figueroa |
Day 1, 12:30 hs |
Room C2 |
| Cybersecurity Agents with Artificial Intelligence |
Nelson Insaurralde (INSA) / Tiago Cerliani |
Day 1, 14:00 hs |
Room A3 |
| How Vibe Coding Gave Me the Hands to Create My Project |
Brian Daniel Rios |
Day 1, 14:00 hs |
Mini Room 1 |
| Hacking Awareness: Creating a Cybersecurity Game with AI in 15 Minutes |
Rodrigo Attanasio / Germán Tabares |
Day 1, 14:45 hs |
Mini Room 1 |
| eBPF + AI + Kubernetes: Real-Time Threat Detection |
Jean Paul Lopez Benancio |
Day 2, 11:15 hs |
Mini Room 2 |
| Cybersecurity Challenges in the AI Era |
Andres Giarletta |
Day 2, 12:30 hs |
Mini Room 3 |
| MCP Security in Enterprise Implementations |
Richie Prieto |
Day 2, 17:00 hs |
Room A1 |
| Clanker Auditor: Agent Orchestrated Custom Tooling for Algorand Smart Contract Security |
Argimiro del Pozo |
Day 2, 17:30 hs |
Room A1 |
| Python for Machine Learning Hacking |
Christian Camilo Urcuqui López |
Day 3, 10:30 hs |
Room C1 |
| GRC Autopilot: Compliance Without Humans, Without Excuses |
Mati Armandola |
Day 3, 14:00 hs |
Room C2 |
About AI Resilience Hub
The AI Resilience Hub Village is part of Ekoparty, bringing together experts and enthusiasts from around the world to discuss the intersection of artificial intelligence and security. Our mission is to advance the understanding and application of AI in creating more secure systems.
The Statement
What is the Statement?
The Statement is not a traditional CTF. It's a live offense-and-defense event where we expose real systems to real attacks in order to learn in real time. It's a controlled, performative, and competitive experiment that blends hacking, AI, and community: we watch how the machine resists, adapts, and learns — in front of everyone.
The Trial (what happens in the ring):
- Attack objective: a robot vacuum (an IoT device) prepared for the event.
- Attacking AI: an automated agent that will attempt to compromise the vacuum.
- Defending AI: an agent that will protect the device, reacting, mitigating, and adapting to intrusions.
- Human participants: you may attack using whatever you choose — your tools, scripts, AIs, creative exploits, radios, fuzzers, etc. The rule is responsible creativity.
- Victory condition: whoever establishes Command & Control over the vacuum wins the round. If the defence prevents or recovers control, the defence wins that round.
Why it's a Statement:
We're not just trying to "break" things or showcase exploits. We want to expose a living dynamic: to see how an AI learns to defend, how the community reacts, and which operational decisions actually work in the real world. It's a technical performance with investigative and educational intent.
How to participate (practical):
- When & where: October 22–24 — Ekoparty, Convention Center — AI Resilience Hub Village.
- Bring your tools — laptops, SDRs, boards, notebooks, LLMs, frameworks — whatever you use to test.
- Register your team at the Village control point and follow staff and safety instructions.
- Rounds will be timed and moderated; there will be rules and test zones to avoid collateral damage.
- Attacking external infrastructure is prohibited: everything happens within the Statement environment and under supervision.
Safety & ethics note:
This experiment is controlled and consensual. The goal is to learn and strengthen defenses — not to cause harm outside the event. If you participate, follow the event rules and respect other teams and the hardware.
Why come?
Because you'll see — and help create — real evidence: when an AI fails, when it learns, which human tactics bypass automation, and which strengthen it. If you want to test hypotheses, validate tools, or simply compete for Command & Control, this is the place to do it.
Call for Papers
We are accepting submissions for papers to be presented at AI Resilience Hub Village. Whether your focus is on AI security, offensive and defensive applications, or securing machine learning models, we want to hear from you. Submit your talk proposal for a chance to present at Ekoparty by filling out this form: AI Resilience Call for Papers Form. Always check your spam, just in case 😉.
Topics:
- AI Applied to Cyber Defense and Attack (Purple Team AI): Focus on how AI is used both to attack and defend security infrastructures.
- Adversarial Attack Techniques: Exploiting AI Models: How adversarial attacks can alter machine learning models.
- Prompt Injection in Generative Models: Challenges and Solutions: Technical insights on exploiting and defending against prompt injections.
- Attacks and Defense of AI-Powered Computer Vision Systems: Defending neural-powered computer vision systems in critical scenarios.
- Risk Mitigation in Machine Learning: Building Robust AI Systems: Strategies for securing machine learning models.
- Ethical Use and Concerns Regarding AI in Cybersecurity: Discussing the ethical implications of AI in cybersecurity.
- Detection and Prevention of Attacks on AI Models through Self-Learning: How self-learning models can prevent future attacks.
- Prompt Injection: Crafting Challenges and Defending Against Language Model Manipulation: Creating challenges and defending against prompt injection.
- Challenges of Using AI for Real-Time Vulnerability Detection: Using AI for continuous, real-time vulnerability detection.
- Deploying AI Systems in Offensive and Defensive Environments: Hands-on deployment of AI in real-world offensive and defensive scenarios.
- Automating CTFs with Artificial Intelligence: How AI can automate challenges in CTFs, enabling scalability.
- Strengthening AI Models Against Prompt Injection and Other Emerging Attacks: Techniques to secure AI models from new threats.
- AI for Detecting Advanced Threats in IoT Networks: Using AI to detect threats in IoT environments.
- AI vs. AI: Competitions of Intelligent Models in Simulated Attacks and Defenses: Competitive AI-driven offensive and defensive simulations.
- Security in the AI Data Supply Chain: Securing data inputs to prevent vulnerabilities in AI systems.
Contact Us
Email: contact@airesiliencehub.space
