Smart Contract Audit.
Seven-Layer Defense.
FinGuard Audit is an AI-native smart contract and financial-system audit platform. Seven-layer review, with sandbox verification on confirmed findings.
For Exchanges · Payment Platforms · DeFi Protocols · Lending Systems · Asset Management
Supported Chains
AI Model Orchestration
Core Capabilities
7-Layer Defense + AI Synergy
From static auditing to red-blue adversarial testing, FinGuard delivers verifiable, quantifiable quality assurance for financial systems.
Static Code Audit
AST parsing, financial rule engine, and fund-flow tracing to catch precision and logic flaws before runtime.
Property & Invariant Testing
Formal invariant fuzzing that verifies core asset conservation under millions of random inputs.
E2E / Pentest / Load / Consistency
Browser bots, penetration tests, load and data-consistency checks validate the real attack surface.
Multi-AI Cross Audit
Four AI brains analyze in parallel + Arbiter adjudication to reduce single-model blind spots and false positives.
AI Red-Blue Teaming
Driven by AI-guided Monte Carlo attacks, the red team actually runs forge-fork exploits in a hardened sandbox — a proven break, not a guess.
5-Brain War Room
Five AI security experts operate jointly — recon, exploitation, contracts, APIs, and defense in coordinated review.
7×24 Continuous Monitoring
CI/CD hooks, scheduled tests, and on-chain anomaly alerts keep watch after launch.
AI-Guided Monte Carlo Attack
The AI plans a high-value attack search space, then Monte Carlo sampling fires millions of randomized exploit inputs into a hardened sandbox — coverage-tracked and feedback-learned each round, hunting the edge cases hand-written tests never reach.
L1–L4 and L7 cover a standard audit path. L5 + L6 add live AI adversarial testing few others offer.
L6 · War Room
Watch 5 AIs Team Up to Break Your Contract
Recon, exploitation, contracts, API pentest, defense — five AI experts debate, strategize, and reach consensus in real time.
5 AI Experts
Recon
speaking
Exploit Dev
GPT-4
Chain Master
Claude
API Pentest
Gemini
Defense
GPT-4
A scripted replay of a real War Room workflow. Data anonymized.
Anonymized Assessment Sample
We do not claim security. We prove the exploit.
Anonymized FinGuard assessment: the same attack was reproduced in a sandbox, then re-run after remediation.
Pricing
One price. Full 7-layer audit
Traditional audits typically $5,000–$50,000+ by scope
One-time payment · Unlimited rescans after fixes · BSC USDT payment
Unlock the AuditStatic Code Audit
AST parsing, financial rule engine, and fund-flow tracing to catch precision and logic flaws before runtime.
Property & Invariant Testing
Formal invariant fuzzing that verifies core asset conservation under millions of random inputs.
E2E / Pentest / Load / Consistency
Browser bots, penetration tests, load and data-consistency checks validate the real attack surface.
Multi-AI Cross Audit
Four AI brains analyze in parallel + Arbiter adjudication to reduce single-model blind spots and false positives.
AI Red-Blue Teaming
Driven by AI-guided Monte Carlo attacks, the red team actually runs forge-fork exploits in a hardened sandbox — a proven break, not a guess.
5-Brain War Room
Five AI security experts operate jointly — recon, exploitation, contracts, APIs, and defense in coordinated review.
7×24 Continuous Monitoring
CI/CD hooks, scheduled tests, and on-chain anomaly alerts keep watch after launch.
AI-Guided Monte Carlo Attack
The AI plans a high-value attack search space, then Monte Carlo sampling fires millions of randomized exploit inputs into a hardened sandbox — coverage-tracked and feedback-learned each round, hunting the edge cases hand-written tests never reach.
One Precision Error Could Cost Millions
Don't let financial bugs become your black swan. Connect FinGuard now — AI-powered, 7-layer defense for your financial systems.
Free preliminary risk signals by SkyEye. Full 7-layer adversarial audit: 1599 USDT.