ModelTap Presents
Comprehensive Code and Runtime Audits for apps built with Cursor, Bolt, Lovable, Replit, or any other AI tool.Better than typical scanners- governance, orchestration to prevent drift and hallucinationsDynamic pricing- works with your workflow, automatic retainer functionalitySkip the fear, lead with what you do. Paste-ready fixes. No calls, no upsells.
AI writes fast. It doesn't double-check.
LLM compression causes hallucinations.Exposed keys. Broken auth. Missing validation.
The usual suspects.
Step 1:Go to the scanner
Paste in your GitHub link or zip fileStep 2:AI models scan for vulnerabilities
Multiple models cross-check each other
Proprietary AI Operating System provides governance & orchestration, preventing hallucinations, compression, drift and other common problems inherent in all LLM'sStep 3:Get your report
PDF with findings + paste-ready fixes
Full comprehensive code and/or runtime scan of your codebasePlain English explanations (no jargon)Paste-ready code fixes you can use immediatelyAutomated turnaround- LLM-speed scanning, larger codebases take longerNo calls. No contracts. No upsells.
Text
Dynamic pricing based on Codebase size and requency of scans: built-in retainer pricing
Your code stays yours.Read-only access.
Never used for training.
Purged after delivery.Encrypted in transit and at rest. No third-party access.One audit. One price. No surprises.
HOW THE AUDIT WORKSA deeper look for technical readersThe Problem with AI-Generated CodeAI coding tools optimize for speed and functionality. They get your app working fast.What they don't do:
- Check if API keys are exposed in client-side code
- Verify authentication flows are complete
- Test for broken access controls
- Validate that secrets aren't hardcodedMulti-Model OrchestrationThis isn't a single AI scan. It's an orchestrated pipeline.1. Primary analysis - A reasoning model examines your code for vulnerability patterns
2. Cross-validation - A second model validates the first model's findings
3. Human orchestration - Review outputs, remove noise, translate to plain English, generate paste-ready fixesThe Governance LayerRaw AI output isn't reliable enough for security work. Models hallucinate, compress details, and drift off-task.These audits use a proprietary AI operating system that solves this:Anti-hallucination - Every claim must cite a source. No source, no finding.
Anti-compression - Models can't summarize away critical details. Full findings preserved.
Anti-drift - Structured checkpoints keep analysis on-task. No wandering into irrelevant code.
Cross-validation - Findings from one model get verified by a second. Single-model errors caught.
Conflict resolution - When models disagree, documented protocols determine which finding wins.The result: audit output you can trust, not raw AI guesswork.What Gets CheckedAuthentication - Missing auth checks, broken session handling, JWT issues
Authorization - IDOR, privilege escalation, missing role checks
Secrets - Hardcoded API keys, exposed credentials
Input Validation - SQL injection, XSS, command injection
Data Exposure - Sensitive data in responses, verbose errors, .env files accessible
Architecture - Missing middleware, open endpoints, no rate limiting, debug mode in production
Phantom Code - Dead imports, functions that were never written, TODO comments shipped as-isWhat You Get- Each finding with severity (Critical / High / Medium / Low)
- Plain English explanation
- Paste-ready code fix
- File and line locationWhat This Is (and Isn't)This is: Targeted vulnerability scan, multi-model cross-validated, Realtime LLM scanning speedThis is not: Full pentest ($5-15K), SOC2 compliance, guaranteed bug-free code