The cost of finding a vulnerability has collapsed; the cost of fixing one has not. Mythal closes that gap with a fabric of coordinated AI agents that take a vulnerability from detection to a verified, compliant, reversible fix — at machine-speed, with a human in the loop and a complete audit trail.
Enterprise security teams are drowning in findings. Scanners surface more vulnerabilities than any team can triage, attackers weaponize published fixes within hours, and yet remediation still runs through tickets, spreadsheets, and change-advisory boards. Mean-time-to-remediate is measured in weeks while exploit windows are measured in hours. That asymmetry — between how fast a vulnerability is discovered and how fast it is fixed — is the single largest unhedged risk on most security balance sheets.
Mythal is not another scanner and not a workflow add-on. It is a remediation fabric: twelve specialist agents that sit above the scanners you already own and beside the patch tools you already operate, and drive the full loop — detect, enrich, plan, approve, patch, verify, evidence, and (when needed) roll back — without endangering an operational system and without removing the human from the decision.
Three forces collide:
The result is a permanent, growing gap between discovery velocity and remediation velocity. It is acute anywhere change windows are scarce and the blast radius is operational — hospitals, banks, grids, plants, transport networks, agencies.
Mythal treats remediation as a closed loop with a human gate at every point of risk:
| Stage | What happens |
|---|---|
| Detect | Scanner-agnostic, authenticated discovery across the estate. |
| Enrich | Correlate with a synced master catalog — CISA KEV (live), EPSS, NVD — plus blast radius and change risk. |
| Plan | Generate an exact runbook with a tested rollback procedure. |
| Approve | Role-based human approval; critical changes require dual sign-off. |
| Patch | Execute through your existing patch tools — live and streamed. |
| Verify | A real re-scan confirms the fix; failures escalate, not falsely close. |
| Evidence | Auditor-ready packages mapped to your frameworks, generated automatically. |
| Rollback | One-click, audited restoration to the previous state when needed. |
Rather than a single monolithic model, Mythal decomposes remediation into twelve specialist agents, each with a narrow contract: a Supervisor orchestrator; Scanner Liaison, Threat Intel and Patch Hunter for detection and enrichment; Impact Analyst and Change Risk for scoring; an OT Safety Officer that holds veto rights on operational systems; a Remediation Planner; an Executor; a Verifier; a Compliance Reporter; and an Inventory Insights agent.
Agents communicate over a signed message bus, never by sharing memory, and every decision emits a human-readable reasoning narrative. That reasoning trace is, in practice, the product — it is what an auditor reads to understand why the platform did what it did, and what a board reviews to trust it.
Specialists with contracts, not a chatbot. A deterministic policy gate sits between every agent decision and any change to a real system, so autonomy never bypasses governance.
Autonomy is only acceptable if it is safe and reversible. Mythal enforces four controls:
Because every action is logged and every remediation is tied to a control, evidence is a by-product, not a project. Mythal maps automatically to the frameworks that govern each industry:
Audit preparation, typically a multi-week scramble, drops by roughly 80% because the evidence is generated continuously and exported on demand.
Mythal is a fabric, not a rip-and-replace. It reads from the scanners you own (Qualys, Tenable, Wiz, Defender, Claroty, Nozomi, Dragos) and dispatches through the patch tools you operate (Ansible, SCCM/Intune, Tanium, Panorama, OT tooling), with ServiceNow, Vault and OIDC/SAML in the loop. It runs as multi-tenant SaaS, inside your own Azure or AWS subscription, or as an on-prem single-VM appliance for air-gapped environments — the same product under your governance.
Modeled on a large regulated estate, customers can expect mean-time-to-remediate to fall from a multi-week baseline to days, patch-wave throughput to rise 3–5×, two to three FTEs of effort reallocated to detection, audit preparation cut by ~80%, and zero changes executed outside an approved window. We build the specific business case with your numbers during a scoped pilot.
The fastest way to evaluate Mythal is to see it run. In a 20-minute live demonstration we stand up real software with real, exportable vulnerabilities, let a real scanner find them, drive them through approval and a real patch, prove the fix with a real re-scan, and roll one back — on screen. From there, a 90-day pilot on a single segment produces a result you can take to your board.
Next-Era LLC · Mythal — the autonomous vulnerability remediation fabric.
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