10 Best AI Tools for Smart Contract Runtime Monitoring in 2026

The Top AI Tools for Smart Contract Runtime Monitoring will be covered in this post. Protecting smart contracts from vulnerabilities and exploits is essential given the increasing complexity of blockchain ecosystems.

Real-time monitoring, threat detection, and security analytics are provided by AI-powered products like Quantstamp, Forta Network, and PeckShield, which assist developers and businesses in ensuring safer, more reliable, and completely compliant smart contract operations.

Benefits of AI Tools for Smart Contract Runtime Monitoring

Constant Threat Monitoring – AI tools are designed with variables that allow users to track smart contracts for vulnerabilities, threats, and the loss of suspicious transactions, promo, and less loss.

Vulnerability Analysis Automation – Such AI tools are designed to track and analyze coding, bugs, iteration, and logical errors without having to conduct audits manually.

Monitoring on Multiple Levels – A large subset of AI tools are created to work within a large subset of multiple blockchain systems, allowing users to monitor a world of assets across multiple contracts on all the networks simultaneously.

Risk Prediction – AI does not work on a blank slate, and so the AI is able to analyze its own previous work and that of others, and so with this in mind, an AI is able to proactively defend and secure contracts.

More Compliance Regulations – AI works to ensure that contracts remain compliant with the governing rules of the country in order to prevent contracts from being flagged as high risk and serve as a basis for audits in order to ensure compliance.

Less Human Error – Since systems are automated, there will always be an automated system in place that will never allow contracts to become stale or ignored.

More Aggressive Steps in Response – The response to secure the systems to prevent a hostile take-over, as there are so many levels of securities, to ensure there are no losses from a hostile take-over.

Cost and Time Efficiency – AI saves resources by eliminating the need for repetitive manual audits, while still maintaining high security.

Data-Driven Insights – Offers insights and suggestions for smart contract and system behavior, transaction stream, and flow, which aids in operational execution.

Scalability – AI software is capable of supervising hundreds of contracts at the same time, which is perfect for big projects, DeFi protocols, and NFT platforms.

Key Point & Best AI Tools for Smart Contract Runtime Monitoring List

Platform	Key Points
Quantstamp AI	Provides automated smart contract auditing using AI to detect vulnerabilities and ensure blockchain code safety.
Forta Network (AI‑enhanced)	Real-time monitoring of blockchain activity; AI detects anomalies, exploits, and suspicious transactions instantly.
BlockSec AI	Offers AI-driven threat detection and incident response for decentralized finance (DeFi) protocols and smart contracts.
PeckShield AI	AI-powered blockchain analytics and security; detects hacks, exploits, and suspicious behavior across multiple chains.
SlowMist AI	Advanced AI threat monitoring for wallets, exchanges, and smart contracts; includes risk assessment and intrusion alerts.
Halborn AI Security	Provides proactive AI-based vulnerability scanning and penetration testing for Web3 applications and smart contracts.
Gauntlet AI	Simulates DeFi protocol behaviors under different scenarios; uses AI for risk modeling and performance optimization.
Nansen AI Security	Uses AI analytics to track on-chain activity, detect suspicious transactions, and monitor token flows for anomalies.
Chainalysis KYT + Reactor	AI-enhanced transaction monitoring; flags high-risk transactions and analyzes addresses for compliance and fraud.
TRM Labs	AI-driven blockchain risk management; monitors transactions, detects money laundering, and prevents crypto fraud.

1. Quantstamp AI

One of the top providers of smart contract security, Quantstamp AI has automated and AI-driven auditing solutions that provide the ability to discover vulnerabilities within pieces of blockchain code. It reviews a smart contract with its advanced machine learning model and provides feedback regarding the presence of logic flaws, reentrancy bugs, and configuration errors.

The platform also enables the continuous surveillance of the deployed contracts to blockchain to secure them from newly developed threats. Quantstamp AI is recognized among the Best AI Tools for Smart Contract Runtime Monitoring.

Quantstamp AI Features, Pros & Cons

Features

1. Smart contracts audit using AI.
2. Monitoring contracts while they run.
3. Reporting possible vulnerabilities.
4. DevOps integration.
5. Monitoring chains that are compatible with EVM.

Pros

1. Very good at finding vulnerabilities.
2. Monitors contracts continuously.
3. Offers report that developers enjoy.
4. Manual audits are no longer required.
5. Used in audits by enterprise customers.

Cons

1. Amounts that should be paid for the PREMIUM version.
2. Other tools have easy methods, however, this may have a longer onboarding.
3. Can wrongly identify problems in complicated things.
4. Support for chains without EVM are Condensed.
5. Real time alerts tend to clog up your monitor.

2. Forta Network (AI‑enhanced)

Forta Network is the AI enhanced real time monitoring solution for the DeFi protocols and Blockchain ecosystems. Forta provides the most comprehensive and effective anomaly detection, suspicious activity, and potential exploit detection as the blockchain activity occurs. Forta provides real time threat detection and adapts to the threat changing patterns to provide immediate notifications to the corresponding security teams.

Forta provides decentralized monitoring across multiple chains, which fortifies the coverage and resilience of the monitoring process. forta also provides enterprise and developer monitoring solutions designed to allow for real time security threat responses to minimize potential losses and provide operational integrity and monitoring solutions runtime.

Forta Network (AI-enhanced) Features, Pros & Cons

Features

1. AI monitoring network that is decentralized.
2. Detection of Threats as they appear.
3. Customizable system of alerts.
4. Support for multiple chains
5. Open-source Agent system.

Pros

1. Notifications that are sent in real-time.
2. Extensive contributor network.
3. Vertical integration.
4. Adaptable.
5. Low surveillance cost.

Cons

1. May be difficult to integrate for some.
2. Requires some setting up.
3. Alerts need to be adjusted to some.
4. Not a substitute for auditing
5. Agent coverage could lack.

3. BlockSec AI

BlockSec AI provides the most comprehensive machine learning and AI driven solutions for smart contracts and DeFi projects. The platform uses the most complex ML models to analyze the deficiencies, and the malicious activity and the system behavioral misalignment across the multiple blockchain networks.

BlockSec AI provides real time threat detection which helps to assure that the risks do not affect the users and the funds. BlockSec also provides compliance, and monitoring of incidents aligned with response, which is the most appropriate for the exchanges and the mega tiers of the protocols.

BlockSec AI is also one of the most effective Blockchain AI smart contracts monitoring runtimes as it enables the security teams to detect the security vulnerabilities and to prevent attacks while keeping the Blockchain operational and Secure.

BlockSec AI Features, Pros & Cons

Features

1. Scanning for vulnerabilities in smart contracts
2. AI running-time monitoring
3. Threat intelligence
4. Tools for incident response
5. Monitoring to ensure compliance

Pros

1. Use of AI with threat intelligence
2. Reporting is good for contextualization
3. Good focus on DeFi
4. Scalable for protocols and exchanges.
5. Supports compliance tracking.

Cons

1. Smaller projects may find it costly.
2. Alerts can sometimes be excessively noisy.
3. The dashboards have a learning curve.
4. Small teams have fewer customization options.
5. There isn’t as much documentation for newcomers.

4. PeckShield AI

PeckShield AI enhances and secures blockchain networks against hacks, exploits, and fraudulent activities. PeckShield AI uses machine learning and AI to identifying on-chain transactions, which helps the network to identify and separate transactions and contracts, and to identify abnormal trends.

The platform offers threat intelligence and predictive risk assessments which help projects to defend against attacks. As recognized in the Best AI Tools for Smart Contract Runtime Monitoring category, PeckShield AI is trusted by NFT marketplaces, DeFi protocols, and exchange, to minimize risk and provide security by combining automated AI insights and human expert analysis.

PeckShield AI Features, Pros & Cons

Features

1. Analytics for on-chain items.
2. Alerts for suspicious transactions.
3. Detection of anomalies.
4. Risk scoring for smart contracts.
5. Monitoring across multiple chains.

Pros

1. Excellent capacity for analysis.
2. Provides an early warning of the flows that carry risk.
3. Insight on multiple chains.
4. Excellent tools for visualization.
5. Valuable for security teams and traders.

Cons

1. The interface is complex for a beginner user.
2. There can be an overload of data.
3. The costs are excessive for the premium tiers.
4. There is no solely audit-focused service.
5. Alerts require human intervention to be verified.

5. SlowMist AI

SLOWMIST AI provides security for smart contracts, wallets, and exchanges. It provides automated and continuous threat intelligence, vulnerability analysis, and monitoring, to identify and mitigate hacks and exploitation.

The suite of AI tools provided by the platform identify abnormal behavior in blockchains, wallets, and contracts. As recognized in the Best AI Tools for Smart Contract Runtime Monitoring category, SLOWMIST AI provides projects real-time mitigation, alongside detailed reports and actionable alerts to assist in the timely defense against threats for developers and security teams.

SlowMist AI Features, Pros & Cons

Features

1. Protection for wallets and exchanges
2. Smart contract runtime watchdog
3. AI risk scoring
4. Threat intelligence database
5. Intrusion and exploit alerts

Pros

1. Merged wallet and smart contract coverage
2. Alerts on good exploits
3. Support for worldwide threat feed
4. Quality customer support
5. Helps compliance teams

Cons

1. High-cost enterprise plans
2. No open source
3. Tuning is needed for false alerts
4. Requires time for setting up
5. Somewhat complicated UI

6. Halborn AI Security

Halborn AI Security integrates artificial intelligence with blockchain security. They offer pre and post deployment smart contract auditing. Their solution identifies and assesses potential vulnerabilities and keeps track of active smart contracts to detect any suspicious behaviors or issues.

Their AI models identify vulnerabilities such as reentrancy and provide remediation suggestions to customers. They are known as one of the Best AI Tools for Smart Contract Runtime Monitoring. Halborn AI Security helps users and DeFi and Web3 developers keep operations secure and integrated with continuous threat detection and professional oversight.

Halborn AI Security Features, Pros & Cons

Features

1. Advanced vulnerability scanning
2. AI-based device monitoring
3. Penetration testing feedback
4. Security consulting integration
5. Detailed mitigation guidance

Pros

1. Merges AI with human expertise
2. Outstanding reports
3. Recommendations for developers
4. Adequate support for enterprises
5. Addresses risks for both live and pre-deployment

Cons

1. Costs more than simple tools
2. Dependence on human input
3. Alert responses can be delayed
4. Processes are not fully automated
5. Contract access could be necessary

7. Gauntlet AI

Gauntlet AI calculates and optimizes the performance of DeFi protocols and provides accurate risk assessments.

He runs thousands of AI-driven predictions to forecast the behavior of a system in a worst-case scenario, such as a lack of liquidity, an exploit, or an attack on governance. He assists in the development of more secure economic models for the system, as well as stability of the protocol. He was also selected as one of the Best AI Tools for Smart Contract Runtime Monitoring.

In conjunction with real-time monitoring, his simulations help developers identify potential risks and improve the safety of the contracts before risks emerge. This helps both users and the protocol operators by avoiding potential problems.

Gauntlet AI Features, Pros & Cons

Features

1. Simulation of DeFi Protocols
2. Risk modeling under stress
3. Suggestions for AI optimization
4. Scenario testing engine
5. Performance forecasting

Pros

1. Insightful economic risks
2. Optimizes protocol parameters
3. Scenario and metric comparisons
4. Support for governance trends
5. Minimizes systemic risk

Cons

1. Does not provide strict runtime monitoring
2. Needs expertise in data analysis
3. Expensive for small teams
4. Simulation outcomes can be ambiguous
5. More time is required to set up

8. Nansen AI Security

Nansen covers the blockchain field in providing four different services; AI-driven monitoring, analytics for abnormal token flow, and fraud detection for token addresses. With the help of mecahnical learning techniques mixed with blockchain intelligence, on of Nansen’s platforms is able to identify and flag money laundering, market manipulation, and potential fraud exploits.

Also, Nansen provides and assists in making insights for their clients’ security teams and investors. Along with this, Nansen is one of the best in providing ”The Best AI Tools for Smart Contract Runtime Monitoring” by providing nearly constant monitoring of smart contract and token movements, providing security and monitoring analytics to help steer clear of potential attacks, and preserving the integrity of the blockchain ecosystem.

Nansen AI Security Features, Pros & Cons

Features

1. Wallets on the blockchain are labeled.
2. Monitoring token movements.
3. Addresses with suspicious activity are identified.
4. Monitoring activities of smart contracts.
5. Risky activities notifications.

Pros

1. Intelligence on-chain is excellent.
2. Valuable for trading and security.
3. Great tools for visualization.
4. Risks can be identified early.
5. Support for multiple chains.

Cons

1. Subscription is required.
2. Can overwhelm new users
3. Not focused on audits
4. Alerts need verification
5. Requires data interpretation

9. Chainalysis KYT + Reactor

Reactor and Chainalysis KYT (Know Your Transaction) use AI to offer improved blockchain monitoring and forensic investigation.

While Reactor allows investigators to track suspicious activity and map networks of fraud or illicit finances, KYT instantly identifies high-risk transactions.

Exchanges, regulators, and DeFi protocols use the AI-driven platform extensively to monitor security and compliance. Chainalysis KYT + Reactor, one of the Best AI Tools for Smart Contract Runtime Monitoring, helps stop illegal conduct on-chain by providing real-time alerts and actionable intelligence to safeguard users and projects alike.

Chainalysis KYT + Reactor Features, Pros & Cons

Features

1. Real-time risk scoring
2. Address network tracing
3. Alerts for suspicious transactions
4. AI pattern recognition
5. Forensic tools

Pros

1. Government compliance leader
2. Law enforcement friendly
3. Advanced analytical capabilities
4. Valuable for regulatory frameworks
5. Good visualization for tracing

Cons

1. Pricing for an enterprise
2. Not focused on smart contract bugs
3. Complicated setup
4. Complex Alerts
5. Works best with large data teams

10. TRM Labs

TRM Labs uses AI to provide blockchain networks with risk management, threat detection, and compliance solutions. Its technology keeps an eye on transactions over several chains, looking for possible fraud, money laundering, and suspicious activity.

TRM’s AI models provide proactive alerts and comprehensive reporting by analyzing patterns to find exploit attempts or high-risk addresses.

TRM Labs, one of the Best AI Tools for Smart Contract Runtime Monitoring, combines machine learning insights with blockchain security knowledge to help businesses, exchanges, and DeFi projects protect assets, guarantee regulatory compliance, and react swiftly to threats.

TRM Labs Features, Pros & Cons

Features

1. AI risk scoring
2. Cross-chain transactions
3. Identifying and tracking suspicious activities
4. Compliance reporting
5. Dashboard and Alerts

Pros

1. Strong risk analytics
2. Multi-chain coverage
3. Valuable for AML teams
4. Integrated Dashboards
5. Enterprise system integration

Cons

1. Less audit-centric
2. High cost
3. Needs adjustments
4. Needs a security team
5. Steep learning curve for interface

Comparison table

Tool	Key Features	Real-Time Monitoring	Supported Chains	Pros	Cons
Quantstamp AI	Automated auditing, continuous monitoring, vulnerability reports, DevOps integration, EVM support	✅ Yes	EVM-compatible chains	Accurate, developer-friendly, continuous protection	Premium pricing, limited non-EVM support, false positives
Forta Network (AI‑enhanced)	Decentralized monitoring, AI threat detection, custom alerts, multi-chain, open-source agents	✅ Yes	Multi-chain	Fast alerts, scalable, flexible	Technical setup, dependent on agent coverage
BlockSec AI	Vulnerability scanning, runtime surveillance, threat intelligence, incident response, compliance	✅ Yes	Multi-chain	Combines AI + threat feeds, strong DeFi focus	Costly for small projects, noisy alerts
PeckShield AI	On-chain analytics, anomaly detection, risk scoring, transaction alerts, cross-chain	✅ Yes	Multi-chain	Strong analytics, early warnings, visual tools	Complex UI, premium tiers, alerts need human review
SlowMist AI	Wallet & exchange protection, AI risk scoring, intrusion alerts, threat database, runtime watchdog	✅ Yes	Multi-chain	Exploit alerts, global coverage, compliance support	Expensive, setup required, false positives
Halborn AI Security	Vulnerability scanning, AI runtime monitoring, pentest insights, mitigation guidance	✅ Yes	EVM & selected chains	Expert analysis, detailed reporting, pre & post-deployment	Higher cost, partial automation, slower alerts
Gauntlet AI	DeFi simulation, risk modeling, optimization suggestions, scenario testing, performance forecasting	⚠ Limited	Ethereum & DeFi protocols	Economic risk insights, governance optimization	Not pure runtime monitoring, costly, requires expertise
Nansen AI Security	Wallet labeling, token flow tracking, suspicious address detection, event monitoring	✅ Yes	Multi-chain	Strong on-chain analytics, visualization, early detection	Paid subscription, alerts need verification
Chainalysis KYT + Reactor	Real-time risk scoring, address tracing, illicit transaction alerts, forensic tools	✅ Yes	Multi-chain	Leading compliance tool, deep analytics	Enterprise pricing, not focused on contract bugs
TRM Labs	AI risk scoring, cross-chain transaction monitoring, compliance reporting, alerts dashboard	✅ Yes	Multi-chain	Comprehensive risk analytics, enterprise integration	Premium cost, alerts need tuning, less audit-centric

Conclusion

Securing smart contracts is more important than ever in the ever changing blockchain ecosystem of today.

Advanced, real-time threat detection, vulnerability analysis, and anomaly monitoring are offered by the Best AI Tools for Smart Contract Runtime Monitoring, including Quantstamp AI, Forta Network, BlockSec AI, PeckShield AI, SlowMist AI, Halborn AI Security, Gauntlet AI, Nansen AI Security, Chainalysis KYT + Reactor, and TRM Labs.

These technologies avoid vulnerabilities, safeguard user cash, and maintain protocol integrity by combining artificial intelligence with knowledgeable blockchain insights. In an increasingly dangerous digital world, developers and businesses may build safer, more robust, and completely compliant blockchain environments by utilizing these tools.

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