Private model rooms
Dedicated environments for each firm keep methodology, audit reports, and client material isolated throughout tuning, evaluation, and deployment.
Private AI for smart contract security teams
Audit intelligence that works inside your security practice.
VulnautAI builds isolated AI systems for Web3 auditors: trained on vetted vulnerability knowledge, adapted to your methodology, and deployed where your client data stays under your control.
Context enriched
Paths ranked
Findings verified
Report ready
- Private
- Client-isolated models
- EVM
- Audit-focused reasoning
Finding triage
ranked by exploit path confidence
The tool in practice
Review ranked findings, pipeline stages, and evidence in one audit workspace.
VulnautAI presents confirmed findings, inconclusive cases, rejected candidates, diagrams, deep dives, and PoC test work in a reviewer-friendly interface built for security teams.
Built for auditors, not generic chat
From vulnerability signal to review-ready evidence.
The platform is designed around how security firms actually work: private client context, repeatable methodology, explainable finding evidence, and measurable model performance.
Evidence-first findings
Outputs are structured around exploit path, affected code, impact, assumptions, and remediation notes so auditors can review instead of rewrite.
Benchmark ledger
Model releases are compared against public EVM audit tasks and peer systems so performance claims stay tied to visible measurements.
A practical deployment path
Ship a private audit assistant without changing your review culture.
VulnautAI can start as a contained evaluation, then expand into internal tooling once your team trusts the output quality and governance model.
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1
Baseline evaluation
Run representative contracts and historical findings through the foundation model to establish precision, recall, and reviewer effort.
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2
Confidential adaptation
Fine-tune or retrieve against your approved reports, templates, and methodology docs in a dedicated environment.
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3
Controlled rollout
Deploy through API, internal UI, IDE workflow, or private cloud with access controls, logging, and review gates.
Security posture
Designed for confidential audit work.
Security firms carry client source code, embargoed findings, and proprietary review methods. VulnautAI treats that context as the product boundary.
Data separation
Client material is scoped to dedicated projects and kept out of shared training flows unless explicitly approved.
Deployment control
Support for private cloud or firm-controlled environments keeps access, logs, and retention aligned with internal policy.
Reviewer accountability
Findings stay traceable to code paths, assumptions, and model outputs so senior auditors can approve with context.
Get started
Evaluate VulnautAI against the contracts your team actually audits.
Send a confidential inquiry or book a short demo to discuss private deployment, benchmark methodology, and integration options.