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Web3 / Security coverage

When the incident is moving, the evidence has to move too.

A public index of FailSafe's coordinated disclosure, incident response, monitoring, forensics, and blockchain security research. Older case studies remain at their original URLs; this page gives security teams one route into the archive.

Public archive

Coverage, response, and prevention.

Use the route that matches the moment: coordinate a disclosure, contain an active event, investigate transactions, or reduce the chance of recurrence through code and protocol assurance.

FailSafe Disclosure Program

Safe summaries of coordinated vulnerabilities and upstream security contributions.

Open resource

Web3 incident response

Containment, forensics, recovery planning, and post-incident hardening for active security events.

Open resource

Transaction monitoring & forensics

Trace suspicious activity and support investigations across blockchain and financial systems.

Open resource

Web3 security case studies

Public audit and security-engagement coverage, including blockchain and digital-asset systems.

Open resource

Smart contract audits

Review financial logic, access control, upgrade paths, and protocol-level attack surfaces before launch.

Open resource

Proof of reserves

Independent assurance for custody, reserves, and financial-system claims.

Open resource

Questions & answers

Frequently asked questions

How FailSafe organizes public Web3 security incident coverage, response, and research resources.

This hub brings together FailSafe's public disclosure, incident-response, monitoring, forensics, and blockchain security case-study resources. Individual case studies remain at their original canonical URLs so their technical context and publication history are preserved.

Yes. Use the incident response path for urgent containment, forensic investigation, recovery assistance, and post-incident hardening. Scope, authorization, and communication channels are confirmed before response work begins.

Blockchain was a proving ground for adversarial inputs, composable systems, privileged actions, and high-consequence failure. FailSafe applies that offensive research discipline to AI agents, LLM applications, APIs, cloud systems, and other critical software.