Defending infrastructure at machine speed. The Autonomous Cyber Defense Challenge brings together cybersecurity engineers, AI researchers, infrastructure specialists, and defense-oriented builders to develop practical systems for real-world cyber resilience.
In accordance with industry standards in cybersecurity, organizers may restrict public disclosure of submitted works, rankings, technical artifacts, or project demonstrations. Many projects involve sensitive infrastructure modeling, detection methodologies, autonomous defense processes, or dual-use research concepts that require responsible handling. This approach protects the privacy of participants, the confidentiality of sponsors, and the operational integrity of the competition environment.
Cyber threats evolve faster than traditional security operations can respond. As AI capabilities accelerate, organisations face increasingly automated attack surfaces, infrastructure vulnerabilities, and operational complexity.
The Autonomous Cyber Defense Challenge exists to explore how intelligent systems, defensive automation, and resilient infrastructure engineering can strengthen cyber preparedness at scale.
Rather than focusing on speculative concepts, the initiative prioritises deployable systems, operational realism, and practical engineering outcomes relevant to enterprise environments, critical infrastructure, and emerging AI-native ecosystems.
January 2026
Teams apply to join the challenge cohort.
February 2026
Teams form, onboard, and attend technical workshops.
March 2026
Teams develop systems with mentor support across challenge tracks.
April 2026
Expert panel scores submissions against the evaluation framework.
April 2026
Top teams present working systems and operational outcomes.
May 2026
Selected projects and insights are shared with the broader ecosystem.
Build systems that identify, classify, and triage threats in real time using AI-driven anomaly detection, behavioral analysis, and adaptive signatures.
Develop infrastructure that automatically isolates, patches, or reroutes around compromised components with minimal human intervention.
Create autonomous SOC tooling: automated incident response, alert correlation, and orchestrated remediation workflows that reduce analyst load.
Engineer defensive systems that hold up against automated adversarial agents, including the detection of AI-generated attacks.
Focus on OT/ICS environments, industrial control systems, and utilities that demand high-reliability defensive engineering.
Design defensive automation with built-in safety controls, human-in-the-loop escalation, auditability, and governance guardrails.
| Criteria | Description |
|---|---|
| Technical Execution | System quality, architecture, and implementation depth |
| Operational Relevance | Practical applicability to real-world environments |
| Security & Resilience | Robustness, reliability, and defensive capability |
| Innovation | Novelty and originality of the proposed approach |
| Scalability | Potential for enterprise or infrastructure deployment |
| Responsible AI | Safety, governance, and ethical system design |
Projects are evaluated and supported by invited cybersecurity professionals, AI researchers, infrastructure engineers, product leaders, and defense technology experts drawn from major global organisations, research institutions, and enterprise security teams.
The network operates across three roles:
Senior security engineers and AI researchers who score final submissions against the evaluation framework.
Practitioners who provide hands-on guidance throughout the build phase.
Leaders who steer strategic direction and responsible dual-use handling.
Together they provide technical guidance, operational feedback, and strategic evaluation across the full challenge lifecycle.
Winning teams are recognised for engineering excellence, operational impact, and responsible design. Prizes are awarded to the top three projects as judged against the evaluation framework. Beyond the prize pool, winning and standout teams gain visibility within the expert network, potential inclusion in the ecosystem showcase, and opportunities for continued collaboration through publications and future research-oriented initiatives.
Grand prize
$1,0000 USD
Awarded to the top project as judged against the evaluation framework.
$8000 USD
Awarded to the second-ranked project.
$5000 USD
Awarded to the third-ranked project.
Autonomous Threat Detection · 2025
1st PlaceSentinelMesh — Real-time behavioral threat triage with adaptive signatures
Anika Desai, Jordan Reeves, Mateo Alvarez
Self-Healing Infrastructure · 2025
2nd PlaceAutoIsolate — Self-healing microsegmentation for compromised cloud nodes
Priya Nair, Chris O'Brien, Yuki Watanabe
AI-Native Security Operations · 2025
3rd PlaceNexusPlaybook — Autonomous incident response and alert correlation
Elena Morales, David Kim, Samira Okonkwo
The Autonomous Cyber Defense Challenge is more than a standalone event.
The initiative contributes to broader conversations around AI security, cyber resilience, infrastructure protection, and the future of defensive engineering. Selected projects, research concepts, and technical insights may continue through ecosystem collaborations, technical showcases, publications, and future research-oriented initiatives.
Participants develop systems across focused cybersecurity and AI defense domains, each built around practical operational challenges.
Selected projects and technical insights may continue through ecosystem collaborations and technical showcases.
Publications
Research
Winning and standout teams gain visibility within the expert network and opportunities for future research-oriented initiatives.
Expert network
Partnerships
The initiative contributes to conversations around AI security, cyber resilience, and infrastructure protection.
AI security
Defensive engineering
