Expert Security Audits Trusted by 
Introducing SWARM, the multi-agent AI framework that works alongside expert auditors to find vulnerabilities that either alone would miss.
A report customized for your codebase detailing architecture, invariants, trust boundaries, and attack hypotheses.
Trusted by leading ecosystems, ventures, and security teams
“With FailSafe, security isn't point-in-time. Their agentic security systems constantly scan for vulnerabilities evolving across contracts and infrastructure, allowing issues to be identified and acted on quickly.”
“FailSafe's SWARM caught vulnerabilities that other AI security tools missed entirely. Their agentic approach found what traditional static analysis and competing AI reviewers couldn't.”
Attackers are leveraging AI to probe you constantly.
The Threat
SWARM finds and fixes vulnerabilities before attackers exploit them.
The Solution
Built by security researchers. Battle-tested in production.
Built Different
The FailSafe
Client-Centered Approach
Client Engagement
We communicate and collaborate with you in every stage to ensure both business and code objectives are achieved securely and efficiently.
Team Structure
- 2+ Blockchain Security Researchers
- Technical Manager
- Project Manager
The team is supported by Cryptographers, Advanced Testing Engineers, and Security Analysts based on project requirements.
Pre-Audit
Our security researchers prepare in advance by reviewing your project documentation, running test suites, and analyzing codebase architecture. A dedicated technical manager consults with you on technical details to optimize audit readiness.
An initial assessment by our proprietary vulnerability scanner helps focus our team's efforts on identifying the most critical vulnerabilities.
Get A Free Audit Readiness CheckSecurity Audit
We conduct a comprehensive review of your system's architecture and codebase, with each line of code inspected by at least two security researchers. We adopt a collaborative approach, engaging directly with developers throughout the audit.
When necessary, our researchers employ advanced testing techniques, including fuzzing and invariant testing, to ensure system integrity.
Fix Review
The fix review process is as important as the audit itself. Our security researchers meticulously review fixed issues and engage with developers to discuss the nuances of your codebase.
Upon review, the final audit report is delivered, allowing your team to track issues and resolutions with direct auditor communication.
Ongoing Partnership
Once we've audited your project, we become experts in your code. We maintain an open communication channel for any future consultation needs.
Our security audits often result in long-term collaborative relationships, providing continuous security assurance as your project evolves.
Threat Model–Driven Multi-Phase Attack
Each phase builds directly on the last. No phase generates attack hypotheses without first establishing a structural understanding of the protocol.
Foundation Analysis
Structural understanding before any attack hypothesis.
Five specialist LLMs analyze the codebase in parallel, each from a different perspective. No attack hypotheses are generated here. This phase produces the foundational context that downstream phases build on: invariants, trust boundaries, and entry points.
Threat Hypothesis Generation
Code-anchored attack hypotheses at scale.
Six specialists generate concrete attack hypotheses informed by Phase A. Each specialist runs two passes with different LLMs to maximize coverage through model diversity. Every hypothesis must cite the exact file, line numbers, and the specific pattern that triggered it.
Semantic Deduplication
Signal without the noise.
Multiple specialists often identify the same vulnerability from different angles. Phase C consolidates semantic duplicates while preserving distinct findings, reducing the hypothesis set by roughly half before validation begins.
Validation
Every finding independently verified.
Each deduplicated hypothesis is validated through deep code analysis: verify the proof-of-signal exists in the actual code, trace the complete execution path from entry point to vulnerability, and confirm all preconditions are achievable.
Guided Agentic Deep Dive
Autonomous agents with full protocol context.
Autonomous agents (Claude Opus 4.6 and Codex 5.3) receive SWARM's full threat model as context: architecture, invariants, trust boundaries, confirmed findings, and refuted hypotheses from Phases A–D. They focus on integration boundaries, mathematical edge cases, and multi-step attack chains.
Threat Model–Driven Multi-Phase Attack
Each phase builds directly on the last. No phase generates attack hypotheses without first establishing a structural understanding of the protocol.
AI Speed, Human Judgement
Every audit combines SWARM's automated analysis with expert manual review.
Multi-Agent AI Analysis
SWARM deploys parallel specialist LLMs that analyze your codebase from five domains simultaneously: architecture, trust boundaries, data flow, state machines, and economic invariants.
Code-Anchored Findings
Every AI-generated hypothesis cites the exact file and line numbers that triggered it. No vague warnings, no generalized alerts.
Expert Business Logic Review
Human auditors focus on economic attacks, manipulation vectors, and protocol design flaws that AI cannot reliably assess.
Validated Verdicts
Each finding is independently verified through execution path tracing. Every confirmation cites the specific code that proves the defect.
Detailed Reports
Comprehensive findings with severity ratings, proof-of-concept exploits, and fix recommendations.
Continuous Support
Post-audit support and re-review of fixes at no additional cost.
Proven Security Performance
Across DeFi, infrastructure, and application codebases
Zero exploits on code reviewed by FailSafe
Real bugs found across hundreds of assessments
Trusted by protocols and platforms managing billions
Built for Teams That Ship Fast
Whether you're preparing for launch or managing security at scale, our combined approach 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 before it ships
Pre-Launch Projects
Teams preparing for mainnet launch who need thorough security validation before going live.
- Full codebase coverage
- Economic model review
- Deployment-ready security report
Existing Security Teams
Complement your security team with AI-powered analysis. SWARM handles systematic coverage so your team focuses on complex logic.
- Force multiplier for auditors
- Consistent coverage at scale
- Surfaces leads for deeper review
Multi-Chain, Multi-Language Coverage
Frequently Asked Questions
Pricing depends on the size and complexity of your codebase. A typical audit for a small to medium protocol ranges from $15K to $50K, while larger or more complex projects can go higher. We provide detailed quotes after reviewing your code.
Most audits take 1-3 weeks depending on lines of code and protocol complexity. SWARM runs first and delivers AI findings within hours, so human auditors can focus their time on the hardest problems.
We check for over 100 vulnerability types including reentrancy attacks, integer overflow/underflow, access control issues, flash loan exploits, price oracle manipulation, front-running, and business logic flaws. Our team also reviews your economic model for potential attack vectors.
SWARM runs first: parallel specialist LLMs generate 50-80 code-anchored attack hypotheses, deduplicate them semantically, and validate each through execution path tracing. Human auditors then receive a pre-triaged threat model and focus on business logic, economic attacks, and novel vectors that AI cannot catch.
No. SWARM resolves structural and pattern-based issues before the audit begins, but human auditors still determine exploitability, assess economic risk, and evaluate system-level behavior. SWARM shrinks audit scope and reduces cost, but does not replace expert review.
Yes. Every audit includes one round of fix verification at no extra cost. After you address the findings, we review the changes and issue an updated report confirming the fixes.
We audit Solidity, Vyper, Rust (for Solana and CosmWasm), Move (Sui and Aptos), Cairo (Starknet), and Ink! (Polkadot). We support Ethereum, Polygon, BNB Chain, Arbitrum, Optimism, Base, Solana, Sui, and most EVM-compatible chains.
Ready to secure your smart contracts?
Get a quote for your audit today. Our team will review your codebase and provide a detailed timeline and cost estimate.