The Cyver Core Alternative
Real On-Prem.

Neuron's AI module reads directly from your Findings Library. Approved Risk Statements and Remediation Guidance go in verbatim, every time. The AI generates only what is engagement-specific: finding details, reproduction steps, retest verification.

That changes what "AI quality" means. Instead of the LLM choosing whether to use your boilerplate, the boilerplate is inserted before the LLM is asked to write anything. The output that ships to clients is built on the language your team has already QA'd.

Cyver's AI runs in their cloud. Whatever the model produces is what your testers see. There is no library-grounded insertion of your approved language; output quality is whatever Cyver's prompts and model deliver that day.

Every Cyver deployment runs on Cyver's infrastructure. Even the option Cyver calls "on-prem" is a managed instance they operate on Azure. There is no path to deploy in your own datacenter, in your existing cloud account, or in an environment with no internet connectivity.

Neuron self-hosts inside your existing infrastructure. Any datacenter, any cloud, air-gapped if needed. License activation supports a fully offline path with no callback to our servers.

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.

Cyver Core has no equivalent.

Cyver's Planning & Availability surfaces per-tester and per-team views and supports recurring engagements through templates. It tells you who is available and what is scheduled. It does not run the team's day.

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 overlap surfaces as overload day counts, peak concurrent counts, and a next-free window calculation. The Health Dashboard ranks twelve categories of risk before they hit kickoff.

On retests, Cyver tracks at the finding level: clients flag a fix through the portal and the status syncs back, with recent DevOps webhook integration to keep external trackers aligned. That works for tracking remediation. The differences live in what an auditor can verify.

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. 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 a web app retest asks different questions than an Active Directory retest. Retests appear as first-class allocatable scope on the Gantt alongside phases and assessments.