What is Lockchain AI ?
Lockchain.ai is an AI-powered blockchain risk management platform designed to help traders, investors, and asset managers navigate the complexities of digital asset portfolios. Founded in 2023 by cybersecurity veterans Aidan Kehoe, Andrew Howard, and Matt Higgins, the Athens, Georgia-based company offers a SaaS solution that provides real-time monitoring and risk assessments across over 25 blockchain networks, including Ethereum, Bitcoin, Solana, and Polygon. The platform delivers actionable alerts via email, Slack, or Telegram, allowing users to track wallet activities, custody platform statuses, and potential security threats. Lockchain.ai’s generative AI analyzes on-chain data and open-source intelligence to identify vulnerabilities and predict contagion risks, assisting clients in making informed decisions and preemptively mitigating potential issues. As of February 2025, the platform supports portfolios with an aggregate value exceeding $2 billion. In February 2025, Lockchain.ai secured $5 million in Series A funding led by White Star Capital, with participation from Lerer Hippeau, Arrington Capital, and Sonic Boom Ventures, among others. This investment aims to accelerate the development of its AI-driven risk management solutions and expand its presence in the blockchain ecosystem.
Feature Table
Feature | Details |
---|---|
Name | Lockchain.ai |
Primary Use Case | Blockchain threat detection, smart contract audits, and transaction forensics |
Threat Detection | AI-based scanning of networks for anomalies, phishing, and protocol vulnerabilities |
Transaction Monitoring | Detects fraud, money laundering, and irregular transaction patterns |
Smart Contract Audits | AI audits for bugs, vulnerabilities, and exploit risks in contract code |
Blockchain Forensics | Trace wallet behavior, follow fund movement, and investigate attack origins |
Custom Security Policies | Set rules based on asset types, regulatory needs, or project-specific risks |
Multi-Chain Support | Works with Ethereum, BNB Chain, Polygon, and other leading Layer 1 and Layer 2 networks |
Who Should Use Lockchain.ai?
DeFi Protocols needing ongoing smart contract protection
NFT Projects looking to secure high-value asset transactions
Web3 Startups launching on-chain products or tokens
Enterprise Teams managing large-scale blockchain infrastructure
Compliance-Focused Teams needing audit trails and forensics
Smart Contract Developers seeking vulnerability detection pre-launch
How to Use Lockchain.ai (Step-by-Step)
Request Access via Lockchain’s official site (consultation or onboarding required)
Connect Blockchain Wallets or smart contracts for monitoring
Configure Security Policies based on project structure and risk profile
Enable Monitoring for smart contracts and real-time transactions
View AI Alerts for phishing, exploits, and abnormal activity
Audit Contracts for vulnerabilities with detailed ML-based scanning
Use Forensics Dashboard to investigate incidents or trace funds
Pricing Plans (as of August 2025)
Plan | Ideal For | Key Features |
---|---|---|
Basic Monitoring | Web3 Startups | Real-time threat detection, simple policy setup, on-chain activity monitoring |
Advanced Audit | Mid-size dApp Projects | Smart contract analysis, anomaly alerts, cross-chain support |
Enterprise | DeFi / Large Platforms | Full forensic tools, SLA monitoring, regulatory dashboards, 24/7 coverage |
Pricing | Custom quote-based | Pricing based on chain usage, contract volume, and integration complexity |
Lockchain.ai operates on a fully custom pricing model. Teams are required to request a demo and tailored quote.
Free vs Paid Comparison
Feature | Basic | Advanced | Enterprise |
---|---|---|---|
Real-Time Threat Detection | ✅ | ✅ | ✅ |
Smart Contract Audits | ❌ | ✅ | ✅ |
Forensics / Wallet Tracing | ❌ | Limited | ✅ |
Custom Rules & Policies | ❌ | ✅ | ✅ |
Multi-Network Monitoring | ❌ | ✅ | ✅ |
Compliance & Reporting Tools | ❌ | ❌ | ✅ |
Capabilities
Detect on-chain anomalies and suspicious activity using real-time AI models
Monitor smart contracts for critical vulnerabilities pre- and post-deployment
Automate fraud prevention by flagging malicious wallets and irregular patterns
Trace transaction origins and flow using blockchain forensics
Customize security rules for token types, user behavior, and network usage
Integrate seamlessly across Ethereum, BSC, Polygon, and more
Evolution Timeline
Year | Milestone |
---|---|
2022 | Lockchain.ai founded to tackle DeFi and NFT-related security vulnerabilities |
2023 | Smart contract scanning and transaction monitoring engine launched |
2024 | Expanded support to multiple L1/L2 chains + forensics layer |
2025 | Introduced compliance-focused features and enterprise-grade threat analytics |
Pros and Cons
Pros | Cons |
---|---|
Detects threats and vulnerabilities before exploits happen | No public pricing; all tiers require custom quotes |
Deep AI-based smart contract audit engine | Initial integration may require blockchain development expertise |
Forensics tools enable rapid incident response and tracing | Relies on regular AI model updates for optimal detection |
Supports multiple blockchain networks | Not suitable for projects without an on-chain component |
Aligns with regulatory standards for compliance-driven ecosystems | Platform access may be gated behind consultation calls or sales filters |
Summary for Target Users
✅ For DeFi teams, NFT projects, and L2 protocols focused on asset security
✅ Ideal for audit-heavy or compliance-conscious blockchain teams
✅ Especially useful for cross-chain protocols needing fraud protection
❌ Not relevant for off-chain or Web2 projects
❌ Not built for non-technical users or projects without smart contracts
Official Resources
Conclusion
Lockchain.ai delivers the security stack modern blockchain projects need — from real-time threat detection and smart contract auditing to forensic tracing and policy customization. It proactively guards digital assets and protects protocol integrity across chains. Whether you’re a new dApp or an established protocol scaling across chains, Lockchain.ai offers a defense-first approach to Web3 security, backed by AI.