Protocol security
Defines safe state transitions and evaluates incentives under adversarial conditions.
- Consensus safety
- Economic attacks
- Protocol invariants
Security
Fluence approaches security across protocol rules, network behavior, implementation boundaries, and operational practice.
No single control makes infrastructure trustworthy. Resilience comes from layered constraints, explicit assumptions, continuous verification, and responsible operations.
Distributed topology / Security
E2E
Threat model
From protocol assumptions to application interfaces
Layered
Control model
Independent safeguards across critical boundaries
Always
Verification cycle
Security treated as continuous engineering work
Security model
Security controls are designed together, then evaluated independently. This limits blast radius and makes system guarantees easier to reason about.
Defines safe state transitions and evaluates incentives under adversarial conditions.
Maintains dependable communication during peer churn, congestion, and partial failure.
Reduces defects through constrained interfaces, review, testing, and reproducible builds.
Makes detection, diagnosis, coordination, and recovery part of normal system operation.
Assurance loop
Model
Prevent
Detect
Respond
Learn
Components receive only the access required to perform their defined role.
Systems are designed to contain faults and preserve critical guarantees.
Monitoring, review, and testing continue throughout the system lifecycle.
Live system view
Clear operational feedback turns distributed behavior into something teams can inspect, reason about, and improve.
security.verify
$ fluence security audit --scope network
✓ trust boundaries mapped
✓ protocol invariants checked
✓ operational controls active
→ assurance report complete
Continue exploring
Understand how security responsibilities are distributed across the stack.
Explore architecture