Smart Contract Security That Never Sleeps
Automated scanning powered by advanced AST analytics and static analysis, trained on millions of lines of code. Instant results on every commit.
$250M+ Secured
110+ Contracts Audited
67% Lower Cost
Audits Last 40% Longer
Traditional Audits Are Snapshots. Your Security Isn't.
Smart contract code changes constantly – new features, dependency updates, cross-chain deployments. A point-in-time audit can’t protect code that evolves daily.
Fidesium’s automated platform scans continuously, surfaces vulnerabilities in minutes, and verifies every fix automatically. No waiting weeks. No surprise invoices. No gaps between audits.
Instant Results
Surface critical vulnerabilities in minutes, not weeks. Every scan runs advanced static analysis and AST analytics against your full codebase, with results you can act on immediately.
Continuous Protection
Every pull request, deployment, and code change is scanned automatically. Vulnerabilities are caught before they reach production, not after an attacker finds them first.
Cross-Contract Detection
Real exploits span multiple contracts. Fidesium resolves import trees, traces taint across contract boundaries, and detects bugs that file-by-file scanners miss entirely.
On-Chain Verification
Scan deployed bytecode directly across 30+ EVM chains. Verify that what’s on-chain matches what was reviewed – no repo access required, no assumptions.
First Scan to Continuous Coverage in Minutes
Connect
Link your GitHub. Fidesium auto-detects your smart contracts and configures scanning for your stack, including dependencies. Scan history tracked to code version.
Scan
Automated analysis runs against your codebase. Dependencies are resolved, vulnerabilities traced and findings are prioritised by severity, with dependency noise separated from your own code.
Monitor
Every subsequent commit and PR is scanned automatically. New vulnerabilities are flagged in real time. Scans generate a verifiable on-chain attestation, creating a permanent, immutable security record.
Built for Production-Scale Codebases
01
Sub-5-Minute Scans at Scale
Deep algorithmic optimisations deliver production-scale scanning in under 5 minutes, even on large repositories like Balancer. No detection quality trade-off.
02
PR-Level Vulnerability Detection
Scans trigger on every pull request. Developers get security feedback in their existing workflow, before vulnerable code is merged.
03
Intelligent Triage
Findings in your code are cleanly separated from dependency-sourced issues. Your team focuses on what matters, not noise from well-audited libraries.
04
30+ EVM Chains Supported
Register deployed contract addresses and scan on-chain bytecode directly. Ethereum, Arbitrum, Optimism, Base, Polygon, BSC, and more.
05
Evolving Detection
Detectors improve continuously as the threat landscape changes. New vulnerability patterns, new Solidity versions, new attack vectors, covered automatically.
06
On-Chain Attestations
Every audit is minted as an on-chain NFT, a verifiable, permanent, tamper-proof security record your users and investors can trust.
Trusted by protocols and founders
Our clients love the speed, accuracy and cost of Fidesium automated audits.
Plans for teams that already audit
Automation to preserve audit credibility between releases.
FAQ's
Is automated scanning the same as a smart contract audit?
Automated scanning provides continuous, real-time security coverage as your code evolves, surfacing vulnerabilities in minutes rather than weeks. It doesn’t replace expert-led manual audits, which remain essential for validating complex logic, economic design, and architectural assumptions.
Think of it as the layer that keeps your security posture current between audits, not a substitute for them.
How is Fidesium different from tools like Mythril or Slither?
Traditional open-source scanners analyse isolated code snapshots and rescan entire codebases from scratch on every run. Fidesium is change- and context-aware, it detects when code changes affect previously reviewed logic, assumptions, or dependencies, and focuses analysis where risk has actually shifted. This reduces noise, improves signal quality, and produces version-linked security evidence teams can reference across releases.
What kinds of vulnerabilities does the scanner detect?
The scanner covers a broad range of security-impacting patterns, including reentrancy variants (cross-function, self-call guards, legacy syntax), access control and permission changes, unbounded array DoS vectors, division-before-multiplication errors, dependency updates that alter trust assumptions, and cross-contract interaction bugs that span multiple files. Findings are prioritised by severity so your team can focus on what matters most.
When do I still need a manual audit?
Before critical releases, after major architectural changes, or when core security assumptions materially change. The scanner helps teams understand when manual re-review is actually required, rather than forcing expensive re-audits after every incremental update.
Will this slow down our development workflow?
The scanner runs inside your existing GitHub or GitLab workflow; on every PR, every commit, typically with nightly full scans. It’s designed to surface relevant findings where engineers already work, without adding overhead. Teams report fewer late-stage security surprises, not additional friction.
Can scanner reports be shared with investors or partners?
Every scan can be generated into a verifiable on-chain attestation; a permanent, tamper-proof security record minted as an NFT. These provide version-linked security evidence that can support discussions with investors, exchanges, and partners. For contexts requiring a formal audit report, manual audit engagements are available separately.
What happens when the scanner finds a critical vulnerability?
Findings are clearly prioritised by severity so teams can assess impact, understand the affected code paths, and decide whether escalation to manual review is necessary. The goal is early visibility, catching issues when they’re a one-line fix, not a launch-blocking crisis.
How does continuous scanning reduce audit costs?
By covering incremental changes through automated rescanning, manual re-reviews are limited to cases where architecture or assumptions materially change. Teams typically reduce re-audit scope and cost by up to 67% over time, while maintaining stronger security coverage between engagements than a point-in-time audit alone provides.