Rapidly Uncover Security Issues for Safer Deployment
Use advanced AI analysis to uncover, test and validate vulnerabilities across smart contracts and infrastructure throughout development with FailSafe SWARM (Systemic Weakness Analysis & Remediation Mechanism).
Trusted by leading Web3 teams
Bring Auditor-Level Analysis to Every Build
SWARM surfaces vulnerabilities early in the development cycle, helping teams catch issues before they reach production.
Auditor-Trained Intelligence
Developed using real audit data and expert methodology to think like top security researchers.
Detects Real Exploit Paths
Maps contract interactions to uncover logic, access, and permission flaws that real attackers target.
Proof-of-Concept Generation
Generates working exploits to validate impact, providing concrete evidence of vulnerabilities.
Actionable Security Reports
Delivers clear issue context, severity ratings, and remediation tracking to improve every release.
“SWARM found critical vulnerabilities in our protocol that other well-known auditors had missed. The proof-of-concept exploits made it easy to understand the real impact and prioritize fixes.”
Save Time. Spend Smarter. Strengthen Every Launch.
SWARM brings researcher-level intelligence into your workflow, finding real vulnerabilities before audits, cutting unnecessary spend, and giving every release a measurable security advantage.
Catch Vulnerabilities Early
Built from real audit data and exploit research, SWARM detects the issues that static tools skip: logic flaws and misused patterns that actually break protocols.
Cut Audit Rework in Half
Cleaner code means smaller scope, faster turnaround, and less back-and-forth with auditors. SWARM turns the audit from a discovery phase into a confirmation.
Full Lifecycle Security
Find vulnerabilities early, fix them before audit, and carry that assurance forward as your code moves from development to deployment.
Proven Security Performance
SWARM is trained on a proprietary dataset of thousands of issues from hundreds of audits and real-world exploits.
SWARM consistently finds more critical vulnerabilities than traditional scanning tools
Trusted by protocols managing billions in total value locked
Real bugs found across hundreds of assessments
Trained on proprietary dataset of past audits and exploits
Built on Real Audit Intelligence
SWARM is built on the expertise of top security researchers and battle-tested techniques from hundreds of real audits. We paired their methodology with machine learning models trained on thousands of real vulnerabilities.
The result is auditor-level reasoning embedded into AI, making elite security insight accessible to every development team.
What SWARM Analyzes
From Upload to Insight
SWARM delivers researcher-level security checks to every build, surfacing vulnerabilities before they reach production.
Connect Your Codebase
Upload your smart contracts or point SWARM to your repository. Analysis begins immediately, scanning your entire codebase.
Detect Vulnerabilities as You Build
Each code change is compiled and mapped into its structure, then analyzed across multiple models trained by top auditors, uncovering real exploit patterns as they form.
Prioritize and Act
Findings are ranked by impact with clear remediation paths, helping your team focus on what truly matters and move faster with confidence.
Validate and Ship Securely
SWARM generates verification tests for each fix, ensuring vulnerabilities stay closed and your code moves forward safely.
Built for Teams That Ship Fast
Whether you're preparing for your first audit or managing ongoing security at scale, SWARM adapts to your workflow.
High-Iteration Teams
Teams shipping frequent updates who need continuous security feedback on every change. Get findings within minutes, not weeks.
- Every code change evaluated
- Real-time security feedback
- Block vulnerable code automatically
Pre-Audit Preparation
Resolve common and complex issues before human auditors begin. Ship cleaner code so auditors can focus on novel attack vectors.
- Reduce audit scope and cost
- Faster turnaround times
- Less back-and-forth with auditors
Existing Security Teams
Complement your security team with automated, researcher-level analysis. SWARM handles systematic analysis so your team can focus on complex logic.
- Force multiplier for auditors
- Consistent coverage at scale
- Surfaces leads for deeper review
A Fundamentally Different Approach
SWARM complements human auditors with capabilities that traditional tools simply cannot match.
Multi-Chain, Multi-Language Coverage
SWARM supports smart contract languages across all major blockchain ecosystems.
Frequently Asked Questions
What does SWARM stand for?
SWARM stands for Systemic Weakness Analysis & Remediation Mechanism. It's a multi-agent framework for systemic vulnerability detection and remediation that continuously identifies, models, tests, and mitigates weaknesses across software, infrastructure, and operational environments.
Can SWARM actually find real, high-severity vulnerabilities?
Yes. SWARM can catch common high-impact categories (reentrancy, access control errors, broken assumptions, unsafe state transitions) in real codebases, especially when trained on verified audit findings. For complex economic exploits or entirely novel attack patterns that require human reasoning, we recommend pairing SWARM with a full audit.
Does SWARM replace the need for a traditional security audit?
No. SWARM removes a large portion of trivial or structural issues before an audit begins, but human auditors still determine exploitability, assess economic risk, and evaluate how the system behaves as a whole. SWARM shrinks audit scope and cost, but does not eliminate the need for expert review.
What types of vulnerabilities is SWARM less effective at detecting?
SWARM still struggles with multi-contract interactions requiring deep economic reasoning, protocol-level incentives or MEV-related attacks, cross-chain assumptions or oracle manipulation subtleties, and any bug class without strong historical examples in training data. These are areas where human auditors consistently outperform AI.
How fast can our team expect feedback from SWARM?
Quick scans complete in under 10 minutes. Deep analysis takes 30-60 minutes. Full assessments complete in 2-4 hours depending on codebase size. This turnaround makes SWARM uniquely suited for high-iteration teams pushing changes frequently.
Is SWARM safe to use with proprietary code?
Yes. SWARM runs on private, sandboxed infrastructure and does not train on customer code. All scans are isolated and your code is never shared or used to improve models without explicit consent.
What languages and chains are supported?
SWARM supports Solidity, Vyper, Rust (Solana, Near, Cosmos), Move (Aptos, Sui), Cairo (Starknet), and Ink! (Polkadot). We continuously expand support based on client needs.
Start Uncovering Security Issues Today
Contact our team to learn how SWARM can strengthen your security workflow and prepare your code for safer deployment.