Your Reviewed Language.
Every Time.
Neuron AI runs alongside your Findings Library and pulls approved language directly. Risk Statement, Remediation Guidance, severity rationale, all copied from your library every time. The AI fills in only what changes engagement to engagement.
Years of Approved Language.
AI Walks Past It.
There is a quiet trade most teams make when they adopt AI for pentest reporting. Speed, in exchange for the finding language they spent years refining.
Your team's Findings Library is years of senior reviewer time, QA cycles, and approved language for every vulnerability your team handles regularly. Reviewed Risk Statements. Remediation Guidance that matches your team's standards. Paragraphs that survived three rounds of internal QA.
The reporting AIs we have seen treat a new finding as a blank page. They produce fresh content for every finding, ignoring the approved language your team already has. The output arrives quickly, but then your testers spend the afternoon rewriting it to pass QA. That is the work the library was supposed to eliminate in the first place.
Library entries stop contributing value. Every AI draft becomes another full QA target. The same vulnerability gets a different write-up every time.
Your Library. Your AI. Working Together.
Neuron AI is built to combine with your Findings Library, not replace it. When a vulnerability already lives in your library, the approved language is what lands in the finding. The AI fills in only what is actually finding-specific. Throughput without losing control.
Pulls Approved Language Directly
Risk Statement, Remediation Guidance, severity rationale. Copied from your library, every time. No paraphrase, no drift. The language that survived your QA is the language that lands in the report.
AI Fills Only What Changes
Finding details, reproduction steps, retest verification. The parts that vary engagement to engagement. Nothing more.
Stays in Your Environment
The library and the AI both run on your hardware. Nothing leaves your network. Nothing trains on your team's data. No external endpoint touches your findings.
Light QA, Not Full Review
Pre-approved language does not need a fresh review. Testers spot-check the engagement-specific content and ship. Report quality stays consistent across engagements.
Library First. AI Second.
The library is the source of truth. Neuron AI reads from it in place and only generates the parts that vary.
Match the Finding
When the vulnerability already lives in your library, Neuron pulls the approved entry directly. No training. No paraphrase.
AI Adds the Specifics
Engagement-specific details, reproduction steps, and retest verification are drafted on your hardware. The pre-approved sections are left untouched.
Spot-Check and Ship
A light QA pass on the new content. The library language is already approved. On to the next finding.
More Feature Spotlights
AI Reporting
On-premise AI for pentest reporting. Inference stays inside your network.
QA Pipeline
Finding-level QA built into the engagement workflow.
Workflow Integrations
Push findings into Jira and ServiceNow.
Collaborative AD Graphing
Multiple testers on one AD attack graph.
AD Attack Paths
Per-engagement AD datasets and attack graphs.
Client Portal
Structured finding delivery with live visibility.
Burp Suite Extension
Right-click in Burp. Send to Neuron.
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