CertifAI AI Cybersecurity Hackathon

 

CertifAI AI Cybersecurity Hackathon

Join the global virtual CertifAI AI Cybersecurity Hackathon! From June 25 to July 10, 2025, this is your chance to design and build innovative AI-driven solutions to secure systems, protect data, and tackle emerging cyber threats.

Who Can Participate

  • Above legal age of majority in country of residence
  • All countries/territories, excluding standard exceptions
  • View full rules

Schedule at a Glance

  • June 25 – July 10, 2025: Hackathon period for building and submitting projects.
  • July 10, 2025: Project Submission Deadline.
  • July 11 – July 20, 2025: Internal Review and Judging.
  • July 22, 2025: Finalists announced for Investor Meet & Internship consideration.
  • July 31, 2025: CertifAI AI Cybersecurity Startup Conference (including investor meet and finalist presentations).
  • Online
  • Public
  • Organized by CertifAI
  • Categories: Cybersecurity, Machine Learning/AI, Education

About the Challenge

The CertifAI AI Cybersecurity Hackathon is a global virtual competition that tests both your creativity and your technical expertise. Throughout the hackathon, you'll develop and showcase AI-driven solutions aimed at securing systems, protecting sensitive data, and countering emerging cyber threats.

Whether you're a seasoned cybersecurity professional or a student exploring the intersection of AI and security, this hackathon offers you the chance to:

  • Make a real-world impact through AI innovation
  • Sharpen your cybersecurity and machine learning skills
  • Connect with a vibrant global community of forward-thinking developers
  • Secure a Free Internship at CertifAI for top performers, gaining invaluable hands-on experience in a dynamic startup environment.
  • Gain an exclusive opportunity to present your groundbreaking work at the upcoming CertifAI AI Cybersecurity Startup Conference and Pitch to potential investors in a dedicated Investor Meet!

How to Join

  1. Register for the Hackathon: Sign up on the event platform to receive hackathon updates, rules, and key resources.
  2. Collaborate with Peers or Go Solo: You're free to form a team or tackle the project independently—choose whichever approach works best for you.
  3. Build & Submit Your Project: Finalize your AI cybersecurity solution by July 10th. Submit your entry for judging and seize the opportunity for valuable experience and recognition!

Don't miss this unique opportunity to contribute to cutting-edge cybersecurity solutions while expanding your network and skill set. Good luck, and we can't wait to see your innovative ideas!

Winners will be announced and selected participants will be invited to present their projects live at the CertifAI AI Cybersecurity Startup Conference on July 31st. Learn more and register for the Conference here to watch live.

Requirements

What to Build and Share

Create an open-source (or openly distributed) solution that addresses pressing cybersecurity challenges by integrating AI. Feel free to innovate and experiment with various frameworks, libraries, and techniques. Possible focus areas include, but are not limited to:

  • AI-Powered Threat Detection & Incident Response: Build systems that monitor logs, network traffic, or endpoint activity for anomalies, enabling swift detection and automated containment of security threats.
  • Automated Incident Response: Integrate a local AI agent (like Concierge) to analyze event data and autonomously take action—e.g., quarantine a compromised server.
  • AI-driven Vulnerability Scanning: Combine computer vision (LLAVA, Video-LLaVA) with existing vulnerability databases to flag potential configuration errors or anomalies in hardware setups.
  • Interactive Security Dashboards: Use a code assistant to quickly spin up front-end prototypes that visualize threat intelligence, highlight key anomalies, and guide security teams.
  • Digital Forensics & Investigation Tools: Leverage machine learning or natural language processing to quickly analyze large volumes of data, reconstruct attack timelines, or identify malicious insiders.
  • Automated Penetration Testing & Network Enumeration: Develop AI-driven agents that proactively test networks for vulnerabilities and suggest remediation steps—minimizing manual effort and improving accuracy.
  • Predictive Analytics for System Resilience: Use time-series analysis or predictive modeling to forecast system failures or potential attack vectors, helping organizations shore up defenses in advance.
  • Automating Cybersecurity Workflows: Streamline repetitive tasks such as patch management, risk assessment, or compliance checks, and reduce human error by integrating AI-based automation.
  • Vulnerability Assessment & Zero-Day Detection: Combine AI algorithms with real-time threat intelligence feeds to identify and prioritize vulnerabilities—potentially catching novel attacks before they spread.
  • Supply Chain Security & Data Integrity: Employ AI to verify software components, detect tampering, or ensure the integrity of packages and updates across distributed systems.
  • Security Education & Awareness: Build interactive AI-driven training platforms or chatbots that educate users on common threats, social engineering tactics, and safe cybersecurity practices.

Remember: Your project must be freely downloadable, free to use, and beneficial to the larger cybersecurity community. Commercial solutions or closed-source projects are not eligible.

What to Submit

  • Detailed Project Description: Clearly define the problem your solution tackles, the proposed AI-driven approach, and the impact it will have on cybersecurity. Highlight how your solution was designed, any unique algorithms or techniques used, and how AI improves upon existing methods.
  • Source Code & Repository: Provide a link to your project's code repository (e.g., GitHub, GitLab). Create an open-source (or openly distributed) solution that addresses pressing cybersecurity challenges by integrating AI (each a “Project”). Include information on the open-source license you're using to ensure others can freely adapt and build upon your work.
  • Working Demo: Showcase your solution in action via a deployed app, Docker container, or hosted instance. Alternatively, create a short video or interactive environment (e.g., GitHub Pages, YouTube, or a similar platform) to guide viewers through your tool.
  • Supporting Materials: Supply a 3–5 minute video walkthrough explaining your project’s features, architecture, and results. Provide screenshots, diagrams, or any supplementary documentation (API specs, user guides, etc.) to help others understand and use your creation.
  • Team & Contributor Info: Include a short bio or description for each contributor, along with pictures if possible. If you represent a company or organization, provide a concise overview of its mission and role in your project.

By focusing on open-source principles and immediate practical application, your project can help elevate the cybersecurity community’s capabilities against ever-evolving threats. We look forward to seeing your innovative solutions!

Guidance for Proposal Review & Investor Meet

If your project is selected as a finalist, you'll receive dedicated support to prepare for the investor meet. Here's what the review process and investor pitch preparation will focus on:

Proposal Review (for Finalists)

Our team will conduct a thorough review of the top projects submitted. This review will assess:

  1. Technical Soundness & Innovation:

    • AI Integration: How effectively and innovatively does your solution leverage AI? Is the AI implementation robust and appropriate for the problem?
    • Cybersecurity Impact: Does the solution genuinely address a significant cybersecurity challenge? What is its potential to mitigate real-world threats?
    • Feasibility & Scalability: Is the solution technically viable? Can it be scaled to larger deployments or integrated into existing systems?
    • Originality: How unique is your approach compared to existing solutions?

  2. Market Potential & Problem-Solution Fit:

    • Problem Clarity: Is the problem you're solving clearly articulated and truly a pain point in the cybersecurity landscape?
    • Solution Effectiveness: Does your solution directly and effectively address the identified problem?
    • Target Market: Have you considered who would benefit most from your solution? Is there a clear need for it?

  3. Open-Source Contribution:

    • Usability & Documentation: How easy is it for others to understand, use, and contribute to your open-source project? Is the documentation clear and comprehensive?
    • Community Benefit: How broadly applicable and beneficial is your solution to the wider cybersecurity community?

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