---
id: ai-smart-contract-audit
title: "AI Smart Contract Auditing: Vulnerability Detection, Formal Verification, and Blockchain Security"
schema_type: article
category: ai
language: en
confidence: medium
last_verified: "2026-05-28"
created_date: "2026-05-24"
generation_method: ai_structured
ai_models:
  - claude-4.5-sonnet
derived_from_human_seed: true
conflict_of_interest: none_declared
is_live_document: false
data_period: static
completeness: 0.85
atomic_facts:
  - id: af-ai-smart-contract-audit-1
    statement: Slither is a static analysis framework for Ethereum smart contracts written in Solidity.
    source_title: "Slither: A Static Analysis Framework for Smart Contracts"
    source_url: https://arxiv.org/abs/1908.09878
    confidence: medium
  - id: af-ai-smart-contract-audit-2
    statement: >-
      Oyente was introduced as a symbolic-execution tool for finding potential security bugs in Ethereum smart
      contracts.
    source_title: Making Smart Contracts Smarter
    source_url: https://eprint.iacr.org/2016/633.pdf
    confidence: medium
  - id: af-ai-smart-contract-audit-3
    statement: SmartBugs provides an execution framework for running and comparing Solidity smart-contract analysis tools.
    source_title: "SmartBugs: A Framework to Analyze Solidity Smart Contracts"
    source_url: https://arxiv.org/abs/2007.04771
    confidence: medium
primary_sources:
  - title: "Slither: A Static Analysis Framework for Smart Contracts"
    type: academic_paper
    year: 2019
    institution: arXiv
    url: https://arxiv.org/abs/1908.09878
  - title: Making Smart Contracts Smarter
    type: academic_paper
    year: 2016
    institution: IACR Cryptology ePrint Archive
    url: https://eprint.iacr.org/2016/633.pdf
  - title: "SmartBugs: A Framework to Analyze Solidity Smart Contracts"
    type: academic_paper
    year: 2020
    institution: arXiv
    url: https://arxiv.org/abs/2007.04771
known_gaps:
  - Economic and mechanism-design vulnerabilities beyond local code patterns
  - Cross-contract and cross-chain exploit paths in deployed protocols
disputed_statements: []
secondary_sources: []
updated: "2026-05-28"
---
## TL;DR
Smart contract auditing uses manual review, static analysis, symbolic execution, fuzzing, and formal methods to find vulnerabilities before deployment. AI can help triage and explain findings, but the evidence should not overstate automated detection as a substitute for expert security review.

## Core Explanation
Common smart-contract risks include reentrancy, access-control errors, arithmetic mistakes, oracle manipulation, and protocol-level economic bugs. Tools such as Slither, Oyente, and SmartBugs represent different parts of the automated-analysis landscape.

## Detailed Analysis
Automated tools are useful because smart contracts can control valuable assets and may be difficult to change once deployed. Their limits matter: local code-pattern detection does not always capture incentive, oracle, liquidity, governance, or cross-protocol failure modes.

## Further Reading
- Slither static analysis
- Oyente
- SmartBugs

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