We architect and deploy custom smart contracts that are secure, gas-optimized, and tailored to your specific business logic. Our development process is built on industry best practices and a deep understanding of protocol design.
LABS
Services
AI-Powered Governance Threat Monitoring
Deploy continuous, AI-driven surveillance that analyzes proposal content, voting patterns, and on-chain activity to detect and alert on emerging governance attacks in real-time.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3-native engineers.
- Security-First Development: Code written in
SolidityorRustusingOpenZeppelinlibraries, followed by multi-stage audits. - Gas Optimization: Every contract is profiled and optimized for minimum transaction costs and maximum efficiency.
- Full Lifecycle Support: From initial design and testing to deployment on
EVM/SVMchains and ongoing maintenance.
Deliver a secure, audited, and fully functional smart contract system in as little as 2-4 weeks.
key-features-cards
REAL-TIME THREAT DETECTION
Core Monitoring Capabilities
Our AI-powered platform continuously monitors on-chain governance proposals, voting patterns, and treasury movements to detect and alert you to threats before they impact your protocol.
benefits
DELIVERABLES
Outcomes: Secure, Resilient Governance
Our AI-Powered Governance Threat Monitoring delivers concrete security and operational outcomes, giving your DAO or protocol the confidence to execute critical proposals without fear of attack.
01
Real-Time Attack Detection
Proactive monitoring for governance exploits like flash loan manipulation, whale collusion, and proposal spam. We detect anomalous voting patterns and transaction sequences before they impact your treasury.
< 30 sec
Threat Alert Time
24/7
Monitoring
02
Vulnerability Risk Scoring
Every proposal and voter receives a dynamic risk score based on wallet history, contract interactions, and on-chain reputation. Prioritize review of high-risk items flagged by our AI models.
99%
Accuracy SLA
10+
Risk Factors
04
Governance Parameter Optimization
Data-driven recommendations for quorum thresholds, voting delays, and delegation rules. We analyze historical attack data to suggest parameters that balance security with participation.
40%
Avg. Risk Reduction
Custom
Per-Protocol Tuning
Governance Security Comparison
AI-Powered Monitoring vs. Manual Review
A direct comparison of automated, AI-driven threat detection versus traditional manual monitoring for DAOs and on-chain governance protocols.
| Monitoring Capability | Manual Review | AI-Powered Monitoring |
|---|---|---|
Real-time Threat Detection | ||
Anomaly Detection Speed | Hours to Days | < 5 Minutes |
Coverage (Proposals, Votes, Treasury) | Sampled | 100% Continuous |
False Positive Rate | Low (but slow) | < 1% with ML tuning |
Historical Pattern Analysis | Limited by analyst | Unlimited, automated |
Proactive Alerting | Reactive only | Predictive risk scoring |
Team Requirement | 2-3 Full-time Analysts | 1 Part-time Oversight |
Audit Trail & Reporting | Manual logs | Automated, immutable logs |
Integration with Snapshot, Tally | Custom scripts | Native API integration |
Estimated Annual Cost | $250K+ (Salaries) | From $60K (SaaS) |
how-we-deliver
FROM ASSESSMENT TO PRODUCTION
Our Implementation Process
A structured, four-phase approach to integrate AI-powered threat monitoring into your governance stack, ensuring minimal disruption and maximum security from day one.
01
1. Governance Risk Assessment
We conduct a deep-dive audit of your current governance framework (e.g., Compound Governor, OpenZeppelin Governor) to identify attack vectors, permission gaps, and monitoring blind spots. Deliverables include a prioritized threat matrix and a tailored monitoring scope.
72 hrs
Initial Report
50+
Vectors Analyzed
02
2. AI Model & Rule Configuration
Our team configures proprietary ML models and rule-based detectors for your specific DAO or protocol. This includes setting up alerts for proposal manipulation, whale voting anomalies, flash loan governance attacks, and Sybil cluster detection.
< 1 sec
Alert Latency
Custom
Detector Rules
03
3. Secure Integration & Deployment
We deploy the monitoring agent into your secure environment (AWS, GCP, or on-prem) and establish encrypted data pipelines from your node providers (Alchemy, Infura) and indexers (The Graph). Includes full integration with your existing alerting (PagerDuty, Slack, Telegram).
SOC 2
Compliant
TLS 1.3
Data In Transit
04
4. Ongoing Tuning & Threat Intelligence
Post-deployment, we provide continuous model retraining with live attack data, weekly threat briefings on emerging governance exploits, and 24/7 on-call support for critical alerts. Your system evolves with the threat landscape.
24/7
Expert Support
Weekly
Intel Updates
Technical & Commercial Details
Governance Monitoring FAQs
Common questions from CTOs and technical founders evaluating AI-powered governance security.
Typical deployment is 2-4 weeks from kickoff to production. For standard DAOs on supported chains (Ethereum, Arbitrum, Optimism, Polygon), we can have core threat detection live within 10 business days. Complex, multi-chain deployments with custom rule sets may extend to 6 weeks.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall