Inspiration

Technology is becoming more and more integrated in our daily lives. While Cyber threats advance as the web surface increases and attackers are using automated tools. Current cyber solutions encompass testing against already known threats or frontline research. Which creates ample ground for a devastating novel threat to enter the picture

What it does

A reasoning system and that develops new hypotheses for novel attacks while offering remediation strategies, thus constantly advancing systems defences faster than attackers can formulate exploits.

How we built it

A multi-faceted approach of:

  • Cyber 0-day Exploit Generation (via Reason LLM models & 0-shot generation)
  • (Automated) Enhanced Penetrative Testing across, various Operating Systems and Setups
  • autonomous AI agent for exploit solution generator and tester

Challenges we ran into

  • time constraints
  • logic and flow development
  • strong reasoning under high-pressure and uncertain conditions
  • needing to learn new tools
  • new modalities of data

Accomplishments that we're proud of

  • Working Graphical User Interfaces
  • A tangible work product (demonstration software)
  • working AI agents with new definition of what cybersecurity vulnerability essentially is

What we learned

  • creating autonomous AI agents with n8n
  • generative adversarial network
  • use of generative models ie. Gemini, Claude, OpenAI with Gemini and OpenRouter APIs + integration to n8n
  • backend and databasing via snowflake's api + integration to n8n
  • in-depth knowledge of cyber security
  • computer ethics
  • data sanitisation algorithms

What's next for α&Ω Cyber_at.tech

  • money and fame

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