Secure code review
Identify vulnerabilities in the applications, services, and SDKs that interact with blockchain networks and AI systems. We combine manual review with static analysis and dynamic testing to find the flaws that tools alone miss.
A hybrid approach
Secure code review adopts a hybrid approach: manual review by senior engineers, static analysis tuned to your codebase, and dynamic testing of the high-risk components across your project, including core code, infrastructure, front end, back end, APIs, and SDKs.
We go past the surface scan into the design, the trust boundaries, and the assumptions the code is built on. That is where the bugs that matter live, and where a checklist audit never looks. Every finding traces back to a root cause, so the fix targets the assumption and not just the symptom.
What we review
- Backend services, APIs, and SDKs that construct, sign, or broadcast transactions.
- Wallets, dashboards, and authentication flows that connect users to on-chain assets.
- Off-chain components: indexers, keepers, relayers, and the deployment scripts around them.
- Cryptographic code: key management, signature schemes, and proof systems.
- AI integrations: model loaders, tool-calling layers, memory and retrieval stores, and any path where a model output becomes an action.
- The joins between layers: a tool result treated as permission, an API response treated as a signature, a config value treated as trusted.
Deliverables your team can run with
- A written findings report with severity, difficulty, and exploit scenario for every issue.
- Runnable proofs of concept so your engineers can reproduce and verify fixes.
- CI-ready static-analysis rules tuned to the patterns we found in your code.
- Fuzzing harnesses your team keeps running after we leave.
- Short- and long-term SDLC recommendations, plus a live walkthrough and fix-review retest.
Questions
- How is secure code review different from a smart contract audit?
- A smart contract audit focuses on on-chain code and its economic behavior. Secure code review covers everything around it: the services, applications, and SDKs that interact with the chain or with a model. Many engagements include both.
- Which languages do you review?
- Solidity, Rust, Move, Go, TypeScript, Python, and the other languages common in blockchain and AI stacks. The language and platform pages list what we support; the scope for your engagement names the exact repositories.
Next step
Request an audit
Point us at the repositories, the components you consider high-risk, and the date the code will be stable. Say whether the system is blockchain, AI, or both, and we will propose an audit plan and estimate.