Hybrid AI-Guided Blockchain Security Audits

    AI prioritizes risk points — human auditors verify and deliver actionable findings. Fewer false positives, faster delivery, deeper coverage.

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    Trusted by the world's top Web3 projects and protocols

    AxelarEthereumAlgorandCosmosNEAR ProtocolSolanaPolkadotFlareSuiAptosCardanoAxelarEthereumAlgorandCosmosNEAR ProtocolSolanaPolkadotFlareSuiAptosCardano

    Why Hybrid AI Improves Security Audits

    Continuous AI scanning catches issues as code changes, and human auditors add the deep verification high-stakes protocols need. Together they cover both surface area and depth.

    Continuous AI Coverage

    Models scan every code change for known vulnerability patterns, risky diffs, and dependency issues — keeping coverage current as the codebase evolves.

    Human Depth Where It Matters

    Security engineers verify exploitability, model protocol-specific business logic, and confirm impact for high-stakes review.

    Faster Findings, Higher Signal

    AI-guided prioritization focuses auditor attention on the diffs that matter most, so findings arrive faster with less noise.

    What We Audit

    Smart Contracts

    Solidity, Rust, and Move — full language coverage

    Protocol Logic

    Cross-contract interactions, state machines, access control

    Governance Systems

    Voting mechanisms, timelocks, multisig configurations

    Token Economics

    Minting, burning, staking, reward distribution logic

    Third-Party Dependencies

    Supply-chain risk, outdated libraries, exploitable paths

    Our Process

    Our Hybrid Audit Methodology

    Step 01

    AI-Assisted Static Analysis

    Models scan your codebase for anomalous patterns, suspicious logic changes, and known vulnerability signatures.

    Step 02

    Code Diff Risk Scoring

    AI ranks code changes by risk severity, focusing auditor attention on the diffs that matter most.

    Step 03

    Third-Party Library Scanning

    Automated dependency analysis identifies vulnerable packages and exploitable supply-chain patterns.

    Step 04

    Manual Deep Dive & Exploit Simulation

    Expert auditors validate AI findings, test business logic, and simulate real-world attack scenarios.

    Step 05

    Remediation Guidance & Re-Audit

    Severity-ranked report with reproduction steps, fix recommendations, and post-fix verification.

    Scanner + audit together vs. either alone

    How continuous AI scanning paired with expert audits compares to running just one or the other.

    FeatureScanner + AuditScanner onlyAudit only
    AI-guided code diff analysis
    Human expert validation
    Business logic vulnerability detection
    Third-party library risk scanning
    Protocol-specific context awareness
    Low false positive rate
    Faster time to findings
    Actionable remediation guidance
    Post-fix verification

    Between audits

    Keep security coverage continuous

    Audits give you depth at release. The FYEO Security Scanner keeps coverage continuous between them — AI-guided checks on every pull request, with diff and dependency scanning across your repo.

    Explore the Security Scanner

    Deliverables

    Severity-ranked vulnerability findings
    Step-by-step reproduction instructions
    Root cause analysis for each finding
    Prioritized remediation guidance
    Post-fix verification review
    Executive summary for stakeholders

    Frequently Asked Questions

    Typical engagements span 2–4 weeks depending on codebase size and complexity. AI-guided analysis accelerates the initial phase, allowing our experts to focus time on deep business logic review and exploit simulation.

    Our hybrid approach reduces false positives by up to 85% compared to automated-only tools. AI surfaces the signals — human experts eliminate noise and confirm real-world exploitability.

    Yes. Every engagement includes a post-fix verification review where we re-test all identified vulnerabilities to confirm they've been properly remediated.

    We audit code written in Solidity, Rust, and Move across Ethereum, Solana, Bitcoin, Near, Algorand, Cardano, Aptos, Sui, and other EVM-compatible chains — covering smart contracts, APIs, integrations, and third-party dependencies.

    Our models analyze code changes against known vulnerability patterns, flag anomalous logic transitions, and score risk based on factors like state mutation complexity, access control changes, and external call patterns.

    A comprehensive document with severity-ranked findings, reproduction steps, root cause analysis, remediation recommendations, and an executive summary. We also provide a post-fix verification once your team implements changes.

    Ready to Secure Your Protocol?

    Get a hybrid AI-guided audit from world-class security engineers.

    Talk to our team