Short answer: AI smart contract audit tools use language models and agents — usually combined with static analysis, fuzzing, or symbolic execution — to find vulnerabilities in Solidity, Vyper, Rust, and other contract code before deployment. In 2026 the main options include Firepan, Sherlock AI, Olympix, Almanax, Octane, V12, Nethermind's AuditAgent, and QuillShield. They differ most in where they run (pull requests vs full-repository reviews), which languages they cover, and how they prove a finding is real. None replaces an expert audit for a high-value protocol.
How this guide was written: We build one of these tools, so we have a bias. To keep it useful, every description of another vendor below comes from that vendor's own public site as of October 2026, linked in Sources. We have not independently benchmarked competitors, and we do not rank them by detection quality. The best test is to run candidates on your own code, as described at the end.
For this guide, a tool qualifies if it uses AI models as a core part of finding or validating vulnerabilities in smart contract code, and can be used by a development team without commissioning a full manual audit. That excludes classic open-source analyzers such as Slither, Mythril, and Echidna — still essential, and covered in our security tools comparison — and audit firms, covered in our guide to the best smart contract audit firms.
If you are new to the category, start with what AI smart contract auditing is.
| Tool | What the vendor emphasizes | Where it runs | Getting started |
|---|---|---|---|
| Firepan | Repository analysis: Scan, Probe, and HOUND AI Audit with evidence tied to code paths | Public scan, connected GitHub repos, API, x402 agent API | Free public-repository scan, no account |
| Sherlock AI | Trained on real audit data and researcher methodology; development-time checks | GitHub commits and PRs | Contact sales |
| Olympix | Pre-deployment tooling: static analysis, unit-test generation, mutation testing, PoC-proving internal auditor | Developer workflow and CI | Book a demo |
| Almanax | "AI Security Engineer" for code, business logic, and infrastructure; threat modeling | GitHub app, manual scans, PR reviews | Self-serve app |
| Octane | Agentic analysis that traces execution paths and explains exploit reasoning | Every PR, baseline scans, expert research | Book a demo |
| V12 | Autonomous security agent producing proofs of concept and fixes | CLI and web app; push, PR, or schedule | Free starting credits |
| AuditAgent (Nethermind) | AI pre-audit scans for Solidity, Cairo, and Rust | Web app | Free starting credits |
| QuillShield (QuillAudits) | Automated, pay-per-audit Solidity reviews priced by lines of code | Web app, API, CLI, MCP; PR checks after a full audit | Signup credit; audits from $49 |
Firepan analyzes smart contract repositories at three depths. Scan discovers common signals with deterministic detectors and optional AI verification, and works on any public GitHub repository with no account. Probe investigates a repository baseline you can compare with later results. Audit is a deeper automated adversarial review: HOUND AI builds repository context, generates and tests security hypotheses, curates findings, and uses Slither as best-effort corroboration. Connected GitHub repositories can trigger repeatable analysis on configured events, and an x402 agent API lets AI agents buy a scan or audit per call. Separately scoped services cover human-led Boutique Audits, exploit validation (Contract Hunt), and Web2 pentests.
Good fit: teams that want to try AI analysis on real code in minutes, compare results over time, or integrate audits into agent workflows. Keep in mind: EVM-focused (Solidity and Vyper); automated results are point-in-time evidence, not certification.
Sherlock, known for audit contests, describes Sherlock AI as developed using real audit data and the methodology of top security researchers. It runs automated checks on commits and pull requests through a GitHub integration, maps contract interactions to find logic and permission flaws, and generates verification tests for fixes.
Good fit: teams already in the Sherlock ecosystem who want checks during development ahead of an audit or contest.
Olympix positions itself as pre-deployment security tooling. Its suite includes static analysis, automated unit-test generation, mutation testing to expose gaps in test suites, and BugPoCer, an internal auditor that combines intermediate representation, custom detectors, symbolic execution, fuzzing, and AI to produce executable proofs of concept.
Good fit: teams that want security tooling woven into testing and development, not only a findings report.
Almanax describes itself as an AI Security Engineer that understands code, business logic, and infrastructure. It installs as a GitHub app, supports manual scans and pull-request reviews, offers ecosystem-specialized models (EVM, Solana, Stellar, Aptos, and more), and generates STRIDE-based threat models.
Good fit: teams spanning several chains or mixing smart contracts with conventional application code.
Octane offers agentic security analysis that traces execution paths across a codebase. Each finding includes the vulnerable path, root cause, exploit reasoning, severity, and a suggested fix. It offers continuous PR analysis, baseline scans before launches, and adversarial research with its experts.
Good fit: teams that want PR-level analysis with detailed exploit reasoning and an escalation path to humans.
V12 describes itself as an autonomous security system for mission-critical code, with a CLI and web app. Runs can be triggered on push, pull request, or schedule, and findings come with a proof of concept and a proposed fix. Public testimonials cover Solana programs and cryptographic and ZK code as well as smart contracts.
Good fit: teams with complex or cryptographic codebases who want agent-driven runs with reproductions.
AuditAgent, from Nethermind, offers AI pre-audit scans for Solidity (EVM), Cairo (Starknet), and Rust (Solana) contracts, positioned as catching critical bugs in minutes before a formal audit.
Good fit: Starknet and multi-ecosystem teams looking for a quick pre-audit pass.
QuillShield, from audit firm QuillAudits, provides automated smart contract security audits for Solidity (Foundry) projects. You upload a project or import it from GitHub or GitLab, receive a price quote based on billable lines of code (from $49), and watch severity-graded findings stream in. After a full audit, CI/CD checks can run light scans on pull and merge requests, and it exposes a REST API, CLI, and MCP server.
Good fit: Solidity teams that want a pay-per-audit model from a firm that also offers manual audits.
You can start with Firepan in under a minute: paste a public repository into the free smart contract scan, or read the step-by-step guide to auditing a smart contract with AI.
For tools you can use at no cost, see free smart contract audit tools compared. For budgeting a human audit, see smart contract audit cost.
Q: What is the best AI smart contract audit tool?
A: It depends on your language, workflow, and what evidence you need. No independent, published benchmark compares all of these tools on the same code, so the most reliable answer comes from running two or three candidates on a repository with known past findings and comparing recall, precision, and evidence quality.
Q: Can an AI tool replace a smart contract audit?
A: Not for a protocol holding significant value. AI tools are strong on known vulnerability classes and on catching regressions continuously. Expert auditors remain stronger on business logic, economic design, and cross-protocol risk. Most teams use AI tools to arrive at an audit with cleaner code and a smaller scope.
Q: Are there free AI smart contract audit tools?
A: Several offer a free entry point. Firepan runs a free scan of any public GitHub repository without an account, and V12, Nethermind's AuditAgent, and QuillShield advertise free starting credits. Check each vendor for current terms.
Q: Which AI audit tools support Solana or Starknet?
A: Based on vendor documentation, Nethermind's AuditAgent supports Rust (Solana) and Cairo (Starknet), Almanax lists Solana among its ecosystem models, and V12 cites Solana users. Firepan is focused on EVM languages.
Q: How do AI audit tools differ from Slither?
A: Slither is a deterministic static analyzer that matches known patterns quickly and reproducibly. AI audit tools add reasoning about context and intent and can generate and test hypotheses. Several, including Firepan, combine both approaches.
Firepan
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