Custom Risk Assessment Module Development

Our engine calculates risk scores using configurable models for collateral health, market volatility, protocol exposure, and wallet behavior, updated with every block.

Define and deploy your own risk logic (e.g., LTV thresholds, concentration limits) with automated alerts via Slack, Telegram, or webhooks for immediate action.

Access risk data via REST/WebSocket APIs and visualize portfolio exposures, historical trends, and system health through a dedicated admin dashboard.

Generate automated reports for regulatory compliance (e.g., transaction monitoring, capital adequacy) and internal governance with immutable audit trails.

Identify and block suspicious transactions, wallet drainers, and wash trading in under 100ms. Our engine integrates on-chain and off-chain signals to reduce false positives and protect user assets.

Automatically adjust loan-to-value (LTV) ratios and margin requirements based on real-time asset volatility and wallet health. Mitigate protocol insolvency risk and enable safer underwriting for DeFi lending.

Automate transaction monitoring for sanctions lists (OFAC) and suspicious activity patterns (SAR). Generate audit trails and reports to streamline compliance for VASPs and institutional clients.

Allocate liquidity and adjust vault strategies based on risk-adjusted return profiles. Identify safe yield opportunities while avoiding high-risk farms or protocols with weak security postures.

Proactively warn users of phishing risks, smart contract vulnerabilities, and unusual transaction patterns before signing. Build user confidence and reduce support tickets related to security incidents.

Replace manual review processes with automated, rule-based and ML-driven risk scoring. Scale your risk operations without linearly increasing headcount, handling millions of data points daily.

We conduct a deep-dive technical analysis of your protocol's on-chain logic and data sources. We define the risk model parameters, scoring algorithms, and integration points to ensure architectural alignment.

Our team builds the custom risk-scoring engine in Rust or Go, implementing the defined models for liquidation thresholds, volatility analysis, and collateral health. All code follows security-first patterns.

We integrate the module with your smart contracts and front-end via a dedicated API. Rigorous testing includes unit tests, integration tests with forked mainnet states, and scenario simulations.

We manage the deployment to your chosen environment (testnet/mainnet) and provide a monitoring dashboard for real-time risk metrics, alerting, and performance analytics post-launch.