From Code Commit to
Security Fix in Minutes
See exactly how Kairo AI protects your smart contracts with autonomous monitoring, comprehensive attack testing, and instant mitigation.
The Security Workflow
Six automated steps that run 24/7 to keep your protocol secure
Connect Your Repository
Link your GitHub, GitLab, or Bitbucket repo in under 60 seconds. Kairo AI instantly begins analyzing your smart contracts.
AI Deep-Scans Your Codebase
Our multi-model AI system analyzes every line of code, mapping dependencies, state transitions, and potential attack surfaces.
Automated Attack Simulation
Kairo runs 1000+ attack scenarios against your contracts in an isolated test environment—no risk to production.
Threat Detection & Scoring
Each vulnerability is assigned a severity score (Critical, High, Medium, Low) with detailed exploit scenarios.
AI-Generated Fix Recommendations
Get production-ready patches with side-by-side diffs showing exactly what changed and why.
Continuous Monitoring
Every new commit triggers automatic re-scanning. Your security stays current as your codebase evolves.
Three-Layer AI Architecture
Detection, simulation, and mitigation working in concert for complete protection
Detection Layer
Multi-model AI ensemble combining static analysis, symbolic execution, and machine learning
Static Analysis Engine
Pattern matching against 10,000+ known vulnerability signatures
Symbolic Execution
Explores all possible execution paths to find edge cases
ML Anomaly Detection
Identifies novel attack patterns not in training data
Formal Verification
Mathematical proofs of contract correctness (Beta)
Simulation Layer
Isolated test environments running forked mainnet state with attack automation
Hardhat/Foundry Integration
Uses your existing test framework for attack simulations
Mainnet Forking
Test against real-world state and liquidity pools
Attack Script Library
1000+ pre-built exploit scenarios continuously updated
Custom Attack Builder
Define protocol-specific attack vectors
Mitigation Layer
AI code generation with security-first principles and gas optimization
LLM-Powered Code Gen
Fine-tuned on 100K+ audited smart contracts
Diff Visualization
Side-by-side comparison of vulnerable vs. secure code
Gas Impact Analysis
Ensure fixes do not significantly increase gas costs
Automated Testing
Generate unit tests proving vulnerability is patched
Developer Workflow Integration
Security checks that fit naturally into your existing development process
Developer pushes code
- Webhook fires to Kairo AI
- Changed files extracted via Git API
- Incremental security scan initiated
Vulnerability detected
- Severity score calculated
- Exploit scenario generated
- Team notified via Slack/Discord/Email
AI generates fix
- Secure code alternative produced
- Git diff created
- PR comment posted with recommendation
Developer reviews & applies
- One-click apply to branch
- Automated re-scan confirms fix
- Security gate passes, deployment allowed
Real-World Example
How Kairo AI caught and fixed a critical vulnerability in production
Re-entrancy Vulnerability in DeFi Lending Protocol
A developer adds a new withdraw function without proper checks-effects-interactions pattern