REAL-TIME BLOCKCHAIN SECURITY
SecureWatch is an AI-powered blockchain threat monitoring platform designed to protect smart contracts and decentralized applications after deployment. The platform analyzes blockchain transactions, wallet interactions, and smart contract calls across multiple networks to identify suspicious activity and prevent financial losses.
Patent Granted — Government of India (Patent #574710)Blockchain Companies Protected
Industry Losses Prevented Against
Continuous Monitoring
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Trusted by Web3 companies across DeFi, exchanges, and infrastructure platforms
Industry reports estimate that more than $3.8 billion has been lost to blockchain exploits and DeFi attacks in recent years. These attacks often occur within minutes, making rapid detection essential for protecting user funds. Without continuous monitoring, many of these attacks remain undetected until protocol funds have already been drained.
Flash loan attacks manipulate DeFi protocols by borrowing large liquidity within a single transaction. Without real-time detection, these attacks drain pools before teams can respond.
Attackers manipulate price feeds used by DeFi protocols to influence asset valuations, creating cascading losses across lending markets and trading platforms.
Cross-chain bridges are frequently targeted due to their complexity and large asset transfers. Point solutions monitoring a single chain miss these cross-protocol attack vectors.
Attackers accumulate governance tokens and attempt to influence protocol decisions, diverting treasury funds or altering critical protocol parameters.
Once deployed, vulnerabilities in smart contract logic can be exploited repeatedly. Unexpected contract calls or abnormal transaction patterns may indicate active exploitation.
Blockchain threat monitoring is the continuous analysis of blockchain transactions, smart contract interactions, and wallet behavior to identify malicious activity, security vulnerabilities, and financial fraud in real time. Unlike traditional cybersecurity monitoring, it focuses specifically on on-chain behavior and decentralized protocol activity.
SecureWatch uses AI-driven behavioral analytics and multi-chain infrastructure to analyze blockchain activity, build behavioral baselines for each monitored protocol, and identify deviations that may indicate potential exploits.
Your team discovers the exploit hours later via social media. $197M drained — irreversible on-chain.
SecureWatch continuously monitors blockchain activity across multiple networks. Every blockchain transaction involving monitored contracts is analyzed immediately after appearing on-chain.
Machine learning models analyze millions of blockchain transactions each day to detect abnormal patterns. Behavioral anomaly detection identifies suspicious activity — including emerging and unknown exploit techniques.
SecureWatch monitors smart contracts across several blockchain ecosystems including Ethereum, BNB Chain, Polygon, Arbitrum, and Optimism — with a unified dashboard for cross-chain visibility.
Organizations can configure alert thresholds, security rules, and automated response triggers tailored to their specific protocol architecture and risk tolerance.
SecureWatch integrates with enterprise security platforms and operational workflows including Slack alerts, Webhooks, SIEM platforms, and security operations dashboards.
SecureWatch connects to deployed smart contracts and identifies the protocol components that require monitoring.
Machine learning models analyze historical blockchain activity to establish normal behavioral patterns for the protocol.
Every blockchain transaction involving monitored contracts is analyzed immediately after appearing on-chain.
The system identifies suspicious behavior such as abnormal token transfers, exploit patterns, and governance anomalies.
Security teams receive alerts instantly and can trigger automated response workflows when threats are detected.
DeFi protocols require constant monitoring because of the large liquidity pools they manage. Protect against flash loan attacks, oracle manipulation, and reentrancy exploits.
Exchanges must monitor high transaction volumes and detect abnormal trading or withdrawal behavior in real time across custody and trading infrastructure.
NFT platforms face risks including wallet compromise, token manipulation, and phishing attacks targeting contract funds.
Gaming platforms involve complex asset economies and frequent transactions. Safeguard in-game token economies from exploit-driven attacks.
Organizations using blockchain infrastructure require continuous security visibility across permissioned deployments in supply chain, healthcare, finance, and more.
Smart contract audits and continuous monitoring serve different roles in a comprehensive security strategy. Using both provides layered security for decentralized platforms.
| Security Method | Purpose | Limitations | Role in Security |
|---|---|---|---|
| Smart Contract Audit | Identifies code vulnerabilities before deployment | One-time evaluation | Prevents coding flaws before launch |
| Traditional SIEM Monitoring | Monitors servers, logs, and network infrastructure | Cannot analyze blockchain transactions | Protects traditional IT systems |
| SecureWatch Monitoring | Analyzes blockchain transactions and contract behavior in real time | Requires integration with protocol infrastructure | Provides continuous on-chain protection |
In March 2023, the decentralized lending protocol Euler Finance experienced one of the largest exploits in DeFi history. An attacker used a flash loan strategy combined with weaknesses in the protocol's smart contract logic.
By repeatedly borrowing and repaying assets in a carefully structured sequence of transactions, the attacker manipulated collateral calculations and extracted funds from liquidity pools — resulting in approximately $197 million in losses.
The attack demonstrated how quickly blockchain exploits can unfold and highlighted the importance of real-time monitoring systems capable of detecting abnormal transaction patterns. Continuous monitoring platforms are designed to identify these patterns early, enabling security teams to respond quickly and limit financial damage.
Behavioral anomaly detection models analyze blockchain activity and identify suspicious patterns across millions of daily transactions.
The platform monitors smart contracts across multiple blockchain networks simultaneously with unified visibility.
Blockchain activity is correlated with global cybersecurity intelligence feeds for comprehensive threat context.
Infrastructure designed to scale across high-throughput blockchain networks processing millions of transactions.
Tiered monitoring plans designed for different stages of Web3 growth.
For startups and small Web3 teams requiring essential monitoring
For growing Web3 companies that require advanced monitoring
Enterprise-grade monitoring for large blockchain platforms
"SecureDApp's smart contract audit team demonstrated exceptional thoroughness and professionalism. Their attention to detail in identifying vulnerabilities gave us complete confidence in our deployment."
"We trust SecureDApp to minimize vulnerabilities across our entire blockchain infrastructure. Their expertise in blockchain security is truly world-class."
"SecureDApp's platform security solutions gave us the peace of mind we needed to launch confidently. Their team is deeply knowledgeable and responsive."

Join 120+ blockchain companies that monitor threats in real time with SecureWatch.
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