BREAK THE PROTOCOL
BEFORE THE WORLD DOES.
Independent security assurance for Layer-1 blockchain networks. We reconstruct the protocol in code, identify the assumptions that make it safe, and then try to break them under adversarial conditions. Our work sits below the smart contract layer — in consensus, cryptography, networking, and execution — because that is where the protocol actually lives or dies.
A blockchain is more than its smart contracts.
Most security work stops at the application layer. We operate beneath it. Consensus, cryptography, networking, and execution are where the protocol actually lives or dies.
Signatures, hashes, randomness, key management
Safety, liveness, finality, fault tolerance
P2P topology, propagation, partitions, eclipse
Parsing, execution, RPC, state transition
Trust the math. Verify the implementation.
Signature schemes, hashing, randomness, and key management are the protocol's roots. We test them from the curve up, looking for weak nonce generation, malformed point handling, deterministic seeding, and implementations that silently truncate critical material. A beautiful proof on paper is worthless if the surrounding code leaks state through side channels, parsing bugs, or hand-rolled arithmetic.
Safety and liveness are not negotiable.
Validators must agree even when the network partitions and adversaries control a fraction of the stake. We model Byzantine faults, equivocations, timing attacks, and threshold violations to see whether the protocol preserves safety, recovers liveness, or silently forks. Every finality gadget has edge cases; our job is to find the ones that survive a motivated attacker.
A protocol is only as strong as its message propagation.
Eclipse attacks, partition scenarios, and gossip manipulation are modelled and measured in the twin. We flood peer selection with adversarial addresses, reorder messages, and test how gracefully the network converges once honest validators can talk again. If one validator's view of the chain can be monopolised, every downstream consensus guarantee collapses.
Throughput without safety is a bug amplifier.
We stress the execution, mempool, and state path to find where real throughput collides with real correctness. Fast finality under load can hide race conditions, incorrect resource metering, or state transitions that are only valid in a specific ordering. Our benchmarks are adversarial by design: we measure not just TPS, but whether safety still holds at the limit.
Break it before they do.
Launch simulated attacks against the twin and watch the network react. Every experiment is reproducible: we record the exact parameters, the injected faults, and the resulting state so that a fix can be verified against the same trace. This is where speculation becomes evidence.
Every finding is reproducible.
Assumptions, traces, and counter-examples are documented so teams can fix with confidence, not speculation. Each issue includes a minimal reproduction, a severity assessment, and a concrete remediation path. We do not hand over vague warnings — we hand over proof.
From simulation to statement.
We translate digital-twin evidence into a clear, auditable security assessment of the Layer-1. The report covers the model, the attack scenarios, the findings, and the residual risk — written for both engineers and stakeholders. You leave with a statement you can publish, not just a ticket queue.
What can your protocol actually survive?
Explore the network, launch attacks, measure performance, and inspect the evidence. This is how we think about a blockchain.