Threat Modeling & Incident Response

Consensys Diligence provides comprehensive threat intelligence services to help blockchain projects systematically identify potential attack vectors, visualize their security attack surface, and prepare for security incidents effectively.

Threat Modeling

The threat modeling process begins by mapping all entry points where attackers could potentially interact with your blockchain application - smart contract functions, off-chain components, oracles, admin keys, governance mechanisms, and external integrations. The team then systematically analyzes each entry point to identify potential threats and attack scenarios.

Deliverables include visual diagrams showing the complete attack surface of your blockchain system, including trust boundaries, data flows, privileged operations, and external dependencies. These visualizations help teams understand their security posture at a glance and communicate risks to stakeholders. Threat models aren't static documents - they evolve as your system grows and new attack techniques emerge.

Incident Response Planning

The incident response planning service helps teams prepare for, detect, and respond to security incidents effectively. Work with security experts to design a comprehensive incident response framework tailored to your blockchain application. This includes defining incident severity levels, establishing escalation procedures, identifying response team roles, and creating communication protocols for stakeholders and users.

Implement monitoring infrastructure to detect security incidents in real-time, including on-chain monitoring for suspicious transactions, smart contract event monitoring, anomaly detection for unusual patterns, and integration with alerting systems to notify response teams immediately. Train your team to quickly identify security incidents, assess their severity and scope, and execute appropriate responses.

Continuous Testing Integration

Integrates with Diligence Fuzzing platform to provide ongoing vulnerability detection through automated property-based testing. The fuzzer generates millions of transaction sequences to discover edge cases and potential exploits that could emerge as your system evolves.

Critical for DeFi

Essential for any protocol holding user funds where minutes can mean the difference between contained incident and catastrophic loss. Having tested procedures in place before incidents occur dramatically improves response effectiveness.