bitslabai

AI audit intelligence

AI-assisted smart contract audits.

bitslabai combines static analysis, AI reasoning, and validation to deliver high-signal findings with evidence, POCs, and audit-ready reports.

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bitslabai audit matrix showing risk weight, code, control flow, evidence, POC validation, function surface, exploitability, and evidence density

How It Works

01

Structured Analysis

Parse, normalize, and build control-flow context before reasoning about security behavior.

  • Contract parsing
  • Control and data flow
  • State and function mapping

02

Evidence Chain

Trace execution paths and connect facts into a reviewable chain of evidence.

  • Function behavior
  • State transitions
  • Cross-function impact

03

Vulnerability Findings

Prioritize exploitable issues by impact, likelihood, and surrounding context.

  • High / Medium / Low
  • Reentrancy and access control
  • Logic and arithmetic issues

04

POC Validation

Generate and run validation scenarios to separate real exploitability from noise.

  • Exploit scenarios
  • Automated test execution
  • Result verification

05

Report Generation

Compile audit-ready reports with evidence, risk context, and remediation guidance.

  • Executive summary
  • Findings and remediation
  • Appendix and POCs

What You Get

From scan results to audit-ready evidence.

bitslabai turns code structure, risk weighting, and validation results into outputs that auditors can review, export, and act on.

High signal finding

Reentrancy path with external callback

High

Evidence-backed findings

Severity, affected surface, trace path, and reasoning context.

POC validation notes

Exploit scenario, execution result, and confidence signal.

Audit-ready report

Executive summary, remediation guidance, and appendices.

function

withdraw()

evidence

4 traces

poc

validated

report

ready