Otacon - Research & Development
  • Welcome
  • Overview
  • Cybersecurity
    • Landscape
    • Attacks
    • Damage
    • Defenses
    • Outlook
  • Bounty
    • Programs
    • Manual
    • Assisted by Computers
    • Assisted by Humans
  • Otacon
    • Overview
    • Bug Scanning
    • Bug-to-Token Conversion
    • Proof of Concept
    • Submission
    • Revenue Share
    • Revenue Modifiers
  • Future
    • Scanning Accuracy
    • Scanning Agency
    • Roadmap
  • More
    • Tokenomics
      • OTACON Utility
      • OTACON Supply
      • OTACON Allocation
      • OTACON Fees
      • OTACON Burn
    • Smart Contracts
    • Liquidity Management
    • Team
  • Otacon [version 1.0]
    • Bug Bounty Management
    • Beta Test Plan
    • Bug Bounty Simulations
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  1. Otacon

Bug Scanning

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Last updated 1 year ago

Otacon employs Large Language Models (LLM) to scan Smart Contracts for vulnerabilities. Large Language Models are a new class of neural network architecture developed by Google by improving Natural Language Processing (NLP) technologies.

The Bug Scanning component of the Otacon architecture is designed to identify potential security vulnerabilities with high precision and speed, far surpassing the capabilities of manual review processes.

Otacon aims at decreasing 9 months-long audit to 9 seconds or so, while exceeding the quality of deliverables. This will dramatically accelerate the Time To Market (TTM) for blockchain-based protocol core development teams.

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What are LLMs?—Google course on Artificial Intelligence (AI).