The PentestPad Alternative
On Your Infrastructure.

PentestPad's AI Copilot and AI pentest agent are billed in tokens. A token quota only makes sense when the inference is running on a hosted LLM with a per-token cost upstream.

Findings, vulnerability descriptions, and remediation guidance all route through PentestPad's hosted model. EU hosting and a SaaS privacy posture do not change the path. The data leaves your network to be processed.

Neuron's AI runs on your hardware. The whole model. Prompts, context, and output all stay inside your network, including in air-gapped environments where a hosted-LLM workflow cannot operate at all.

You cannot advise a CISO on data exposure and then be the leak yourself.

PentestPad offers a self-hosted option, and that matters for buyers with data-sovereignty requirements. The path to it is governed: per their own self-hosted documentation, on-premise instances are subject to approval by PentestPad, and the deployment runs with credentials issued by their team for your tenant.

Neuron self-hosts as the default deployment posture. License activation is online or fully air-gapped. There is no vendor approval workflow to clear, and no tenant-credential dependency on our infrastructure.

For teams that need to clear deployments through a security review, that distinction matters. Air-gapped is a supported path on day one, not an exception negotiated through procurement.

Active Directory is where most internal engagements actually live, and the standard tools for graphing attack paths were built for one tester at a time, against one database at a time. Switching engagements means clearing data and re-importing.

Neuron's Directory module runs the graph inside the engagement. Multiple testers collaborate on the same graph in real time. Each engagement keeps its own isolated data, so there is no clearing between projects and no risk of a query pulling from the wrong directory. Findings tie directly to the path.

PentestPad has no equivalent.

PentestPad's AI revalidation is useful where the check is mechanical: CSRF and XSS findings get auto-revalidated against the prior proof. Business logic findings, the ones that actually need a tester to think, still go through manual retest. Two workflows in one engagement, with different evidence and different audit footprints.

Neuron treats every retest as a round-based first-class record with the same workflow regardless of finding type. Each round has its own dates, scope, and attestor. Peer cosign is gated by severity policy, so critical findings can require a second tester to verify before the round closes. Once a round moves to ready for approval, per-finding mutations freeze. Every state change writes a QA log entry with actor, timestamp, and prior state. Custom field and document section schemas are configured once per assessment type, so the right evidence shows up automatically.

PentestPad's scheduling is a calendar-based project dashboard. It surfaces what is scheduled and who is on it.

Neuron's schedule is a Gantt the team runs from. Drag bars to reschedule, drop on a tester to reassign, switch between me, users, teams, by-client, and by-engagement perspectives without leaving the view. Capacity conflict detection surfaces overload day counts, peak concurrent counts, and a next-free window calculation. The Health Dashboard ranks twelve categories of risk before they hit kickoff. Retests appear as first-class allocatable scope on the Gantt alongside phases and assessments.