What tools are good at
Static analyzers, fuzzers, symbolic execution, linters, and invariant frameworks can identify known classes of bugs, suspicious patterns, unreachable branches, and edge cases that are hard to enumerate by hand.
Where tools struggle
Tools often miss business-logic failures, flawed economic assumptions, unsafe governance processes, oracle manipulation paths, and cross-chain trust assumptions because these require protocol context.
How CTDSEC combines them
The audit process uses tooling to widen coverage, then manual review to reason about value flow, privileges, invariants, integration behavior, and adversarial scenarios.
What teams should expect
A strong audit report should explain which findings matter, why they matter, how they can be fixed, and which assumptions remain after the code changes.
Example: a scanner cannot choose the intended policy
A liquidation function might have appropriate access checks and no obvious reentrancy, yet use a threshold that disagrees with the protocol's economic specification. A reviewer needs the policy, units, and rounding rules to assess the behavior. Automated tests become useful once the intended relationship between debt, collateral, and liquidation is stated explicitly.
Ask how findings are validated
Ask whether suspicious results are reproduced, whether false positives are removed, and how the reviewer checks a proposed fix. Coverage reports and tool names are not themselves evidence that a business invariant holds. A useful engagement explains the reasoning and test evidence behind findings, with remaining assumptions documented for the team.
Discuss Your Audit Scope
Start with your email and a short project description. Technical details can follow. Request a smart contract audit quote or review public CTDSEC audit examples.