The PlexTrac Alternative
On Your Infrastructure.

Reporting is where engagements slow down. AI is the obvious fix, and every reporting tool is racing to add it. PlexTrac's answer is Plex AI, available as an add-on across their Essential, Core, and Premium packages. Their own pricing page states the requirement plainly.

That is the trade-off. To get the AI features, your client findings, vulnerability details, and exploit proof move into PlexTrac's cloud environment for processing. Even with a private model, the data leaves your network.

Neuron's AI runs on your hardware. The whole model. Prompts, context, and output all stay inside your network.

The same rules your clients apply to their sensitive systems are the rules the platform writing about them follows. That includes air-gapped environments, where Plex AI cannot operate at all.

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

PlexTrac was built cloud-first. Their on-prem option came later, and reviewers consistently note that it is missing capabilities the SaaS version has. If your buying committee greenlights an on-prem deployment, you find out later that some of the things you bought the platform for do not work the same way.

Neuron was built for on-prem from day one. Air-gapped deployments get every module: AI, Directory, Client Portal, all of it. None of them silently depend on a callback to our servers, and none of them quietly fall back to a hosted component when the network is gone. What works in a connected deployment works the same way in an air-gapped one.

For teams that need to clear deployments through a security review, that consistency matters. There is no surprise feature gap to negotiate around six months in.

PlexTrac's pricing follows a tier model. Essential, Core, and Premium, with key features gated to higher tiers. API access, workflow automation, and runbooks all live in Premium. If you need any one of those, you pay for the whole tier. Then your bill goes up every year, contractually.

Customers on multi-year terms keep paying that increase. Compounded over a typical three-year deal, the price is meaningfully higher at the end than what was signed at the start.

Neuron's pricing is per-seat plus optional modules. Every seat gets every core feature. You add modules like Client Portal, AI, Workflow Integrations, and File Shares only if you need them. No tier you have to buy your way into to get a single capability, and no annual auto-escalator on renewal.

PlexTrac handles retests through Runbooks. The lifecycle is integrated and retesting can be cyclic. The differences live in what an auditor can verify and what the team can lock down.

Neuron's retests are round-based first-class records under the same engagement. 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 in admin, so a web app retest asks different questions than an Active Directory retest.

PlexTrac's Scheduler is a separate module that surfaces a calendar, a status-filtered list, and a per-tester capacity overview. Inbound scheduling requests can be auto-assigned to a tester.

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.