Audit Methodology

How engagements work in practice

A structured, evidence-led workflow designed to surface high-impact risk, communicate clearly, and accelerate secure shipping.

1) Engagement framing

Phase 01

We align scope boundaries, assumptions, threat model, and timelines before line-by-line review begins.

Input
Repo, docs, deployment plan
Output
Signed audit scope memo

2) Depth of analysis

Phase 02

Coverage focuses on exploitability, invariant safety, privilege boundaries, and economic abuse paths.

  • Function-level logic and state-transition checks.
  • Access-control, upgradeability, and initialization flows.
  • Edge-case simulation and adversarial scenario testing.

3) Findings communication

Phase 03

Each issue is documented with attack narrative, impact, reproducibility context, and pragmatic fix direction.

Severity rationale Exploit + impact based
Developer guidance Fix-first, concise steps
Review channel Direct expert discussion

4) Remediation collaboration

Phase 04

After fixes are shipped, we re-verify affected paths and close the loop with clear status on each finding.

  • Patch diff review
  • Retest of exploit path
  • Residual risk notes
  • Final status matrix
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AI-focused audit lineup

Choose the audit engagement that matches your smart contract and AI risk profile.

Offer tracks cover smart contract audits, AI hybrid audits, and fully autonomous AI audits with senior remediation guidance.

Smart contract audits AI hybrid audits Fully autonomous AI audits
Security service package visual

Smart contract · AI hybrid · Autonomous AI

  • Threat modeling for contract logic and AI-assisted execution paths
  • Exploit-ready findings with reproducible technical context
  • Senior reviewer remediation walkthrough and verification plan
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