Cryptocurrency platforms are susceptible to exploits and attacks, resulting in billions of dollars in losses due to vulnerabilities in smart contracts, access control, and other security flaws. Traditional security measures often fail to detect and prevent these sophisticated attacks in real-time, leaving digital assets at risk.

CyVers offers a Web3 security solution that leverages geometric machine learning to proactively detect and prevent cryptocurrency attacks across various blockchain protocols. The platform provides real-time monitoring and analysis of blockchain activity, enabling security teams to automatically identify suspicious behavior and potential exploits. By providing early warnings and actionable insights, CyVers helps to mitigate risks, prevent financial losses, and maintain the integrity of Web3 ecosystems. The platform's capabilities extend to identifying access control vulnerabilities, detecting anomalies, and facilitating rapid response to emerging threats.

Real-time detection and prevention of crypto attacks using machine-learning anomaly detection technologies

Screening of current and historical blockchain activity for suspicious behavior

Automated alerts to relevant stakeholders, enabling immediate corrective actions

Support for multiple chains, including Ethereum, BNB Chain, Polygon, Avalanche, Arbitrum, Optimism, Linea, BASE, and Gnosis

Coverage of various use cases, including DeFi protocols, financial institutions, exchanges, custodians, and asset managers

AI-driven risk assessment, transaction validation, and anomaly detection

Identification of access control vulnerabilities and sophisticated scams

CyVers targets DeFi protocols, financial institutions, cryptocurrency exchanges, custodians, and asset managers seeking to enhance their security posture and protect digital assets from evolving Web3 threats.