👾Technology

Static Code Analysis

• AI-Driven Pattern Recognition: Our AI algorithms analyze the source code to identify known vulnerability patterns without executing the contract. This includes detecting reentrancy, overflow/underflow, and access control issues, ensuring that potential flaws are caught early in the development process.

Dynamic Code Analysis

• Simulation and Fuzz Testing: By simulating contract execution, our dynamic analysis uncovers runtime vulnerabilities. Techniques like fuzz testing and symbolic execution are employed to evaluate the behavior of smart contracts under various conditions, ensuring robust security before deployment.

Anomaly Detection

• Machine Learning Models: Our machine learning models identify unusual behavior that may indicate security issues. This involves monitoring transaction patterns and contract interactions to detect anomalies, providing a proactive approach to identifying and mitigating threats.

• Wallet Owner History: this feature involves conducting thorough research into the history of addresses deploying a contract to identify any patterns or previous incidents of concern. Our platform evaluates contracts previously deployed by these addresses to assess their integrity and reports flags if an address has a history of deploying contracts involved in rug-pulling or exhibits suspicious patterns.

  This enhancement further strengthens our proactive approach to blockchain security by providing deeper insights into the behaviors and histories associated with contract-deploying addresses. It complements our existing machine learning models, enabling comprehensive monitoring of transaction patterns and interactions to detect and mitigate potential threats effectively.

Blockchain Integration

Smart Contracts for Analysis.

• Automated Management: We develop smart contracts to manage the submission, and reporting processes. Analyis results are recorded on the blockchain for transparency and immutability, ensuring that all security assessments are verifiable and tamper-proof.

Use of Oracles

• Real-Time Data Integration: Oracles integrate real-time data feeds and external sources of information for comprehensive analysis. This ensures that the auditing process incorporates the latest security data and threat intelligence, keeping our assessments up-to-date with emerging threats.

User Interface

Submission Portal

• Developer-Friendly Interface: Our web interface allows developers to upload smart contracts for auditing easily. The portal provides options for different types of audits, such as quick scans and deep audits, catering to various security needs.

Dashboard

• Comprehensive Reporting: A user-friendly dashboard where users can view audit reports, track the status of ongoing audits, and access historical data. It includes visualizations of vulnerabilities, risk levels, and remediation suggestions, providing clear and actionable insights.

Continuous Monitoring

• Real-Time Security Assessments: We implement monitoring tools that continuously analyze deployed contracts, providing real-time alerts for detected anomalies or potential security breaches. This ensures ongoing security assessments post-deployment, maintaining the integrity and security of blockchain applications over time.

All Tokens Overview

• In addition to facilitating smart contract auditing, our platform features an expansive "All Tokens" page. This page provides a comprehensive view of cryptocurrencies across all blockchains, organized by market capitalization. Users can easily navigate through different tokens and with a single click, access detailed information such as price fluctuations, top buyers, sellers, and holders. This functionality not only enhances transparency but also empowers users with valuable insights into the cryptocurrency market dynamics.

Cross-Blockchain Search

• Our platform introduces an advanced "Cross-Blockchain Search" capability, ensuring users can efficiently locate specific tokens or smart contracts regardless of the blockchain network they reside on. Leveraging intelligent search algorithms, this feature conducts a thorough analysis to identify tokens, displaying comprehensive results that indicate the networks where each token is listed. This capability streamlines the process of discovering and accessing token information, reinforcing our commitment to user-friendly accessibility and comprehensive data transparency.

• These additions augment our user interface, enriching our platform with intuitive tools that empower users to navigate and interact seamlessly within the blockchain ecosystem.

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Incorporating these advanced features, Influx AI delivers a holistic approach to blockchain security. Our AI algorithms, blockchain integration, and user-friendly interfaces work together to provide comprehensive, continuous, and transparent security solutions. This ensures the protection of blockchain applications from development through deployment and beyond, fostering trust and reliability in the blockchain ecosystem.