VirtueThreatX runs all five Gartner CTEM stages in one workflow — with adversarial validation and AI/LLM exposure built in. Your team ships proven, prioritized fixes instead of more findings.
Exposure management vendors agree on the words. The platforms diverge on what they actually do. Here is what we do that the others don't.
Every critical finding is corroborated across multiple scanners and run through adversarial validation before it reaches your queue. Severity scores are evidence, not estimates.
Scanners are dispatched by surface — Web, API, Cloud, Identity, AI/LLM — not blasted across every asset. You get higher signal, lower cost, and the right tool on the right target.
Re-scans trigger on the things that actually change risk: code pushes, KEV entries, certificate transparency, cloud changes. You see what's new and what changed, not the whole report every time.
Gartner introduced Continuous Threat Exposure Management (CTEM) as a five-stage, continuous program for reducing real exposure — not a scanner category. The point is the loop: scope what matters, discover everything in it, prioritize by real risk, validate exploitability, and mobilize a fix. Then start again.
Most platforms claim CTEM. Few implement all five stages in one workflow. Fewer still close the loop with adversarial validation. That gap is what VirtueThreatX was built for.
A focused platform, not a directory of thirty. These are the capabilities CISOs shortlist for first this year.
The full Gartner five-stage loop in one workflow — from scoping through validated remediation.
Seedless discovery of every asset, subdomain, certificate, and shadow service exposed to the internet.
Corroboration across multiple scanners and adversarial probing confirm what is actually exploitable.
Event-driven scans across 49 engines. Re-validation fires on KEV entries, code pushes, cloud changes.
DAST, schema-aware API testing, auth flow probing, OpenAPI drift detection across every environment.
Misconfiguration detection across AWS, GCP, and Azure. Validates what your CNAPP finds.
Prompt injection, RAG context probing, shadow-AI discovery, model exposure scanning. Built first.
Over-permissioned roles, leaked credentials, non-human identity sprawl, IAM relationship walks.
Click through each stage to see what the platform actually does — not what the category brochure says it should.
Tag assets by tier, owner, business priority, and SLA. Scoping decisions made now shape every prioritization decision later — the platforms that skip this step always re-discover priorities mid-incident.
Seedless asset discovery across web, API, cloud, identity, code, and AI surfaces. Continuous certificate transparency and DNS watching surface shadow services as they appear — not at the next quarterly scan.
CRPS combines CVSS severity, EPSS exploit probability, CISA KEV status, asset tier, and reachability. A medium CVE on a tier-0 internet-facing asset outranks a critical on an isolated test box. Evidence, not estimate.
Corroboration across multiple engines, adversarial probing where safe, and LLM-assisted triage with evidence capture. Every critical that reaches your queue carries the receipts: reproduction steps, response capture, exploitation path.
Tickets land in Jira, ServiceNow, or Slack with owner, SLA, evidence, and reproduction already populated. Re-validation closes the loop automatically when the fix ships — no manual "is this resolved yet?" thread.
Every surface attackers actually use — covered with the open-source and commercial engines we name. No "powered by AI" black-box claims.
Public sites, admin portals, marketing apps.
REST, GraphQL, gRPC. Schema-aware probing.
Edge, internal, TLS posture, port exposure.
AWS · GCP · Azure misconfig and over-permission.
SAST, secrets, dependency posture in your repos.
Image CVEs, runtime drift, k8s admission posture.
Over-permission, leaked creds, non-human identity.
iOS · Android binary analysis and runtime posture.
Prompt injection, RAG context, shadow-AI discovery.
Industrial protocol fingerprint and exposure check.
Quarterly scans miss what's already in production. VirtueThreatX listens to the events that actually change risk — and runs a targeted re-validation in minutes, not next sprint.
Code change to a watched path triggers SAST, secrets, dependency, and IaC re-validation on the affected service.
A new CVE lands in CISA’s Known Exploited Vulnerabilities catalog. Affected-version sweep fires across every asset in scope.
A new certificate for your apex appears in a CT log. New subdomain enters the scope and gets a first-pass scan within minutes.
A new cloud resource is created or a security group changes. Misconfiguration check runs before the resource sees production traffic.
Pod, service, or workload spec changes. Policy and image posture re-validated against your scope before rollout completes.
A 9.8 CVSS on a forgotten test box is not the same as a 9.8 on the payments path. Our Composite Risk Priority Score blends published severity, real-world exploit pressure, and your context — so the queue is ordered by what actually matters.
CRPS is deterministic and transparent. Every score is broken down so analysts can see exactly which input drove the priority — and can challenge it. No black-box AI, no hidden weights.
The published score. Tells you how bad the vulnerability is in the abstract.
FIRST.org's 30-day exploit probability. Tells you how likely an attacker uses it now.
CISA's catalog of vulnerabilities being actively exploited in the wild. Binary.
Asset tier, reachability, business priority, blast radius. The bit only you know.
Identical published severity can compose to very different priorities once exploit pressure and local context apply. The diagram below shows that composition abstractly — every cell of the math is visible on the finding detail, challengeable by analysts, and reproducible.
Three exposure profiles with comparable published severity. Profile A pages the on-call; Profile C never makes the queue. The difference is exploit pressure and your environment context — captured at scope time, applied at score time, visible to the analyst.
Each layer is necessary for the next. The loop closes when validated findings ship to a fix and re-validation confirms the regression has not returned.
Seedless attack-surface enumeration
Apex-rooted asset graph across web, API, cloud, identity, code, and AI surfaces. Continuous certificate transparency, DNS, and cloud-provider listeners surface new assets as they appear.
Right capability, right surface, right time
Capabilities are dispatched by surface — never blasted uniformly. Event-driven triggers fire targeted re-validation on git pushes, KEV entries, certificate-transparency events, and cloud changes.
Score real risk, not raw severity
CRPS composes published severity (CVSS), real-world exploit pressure (EPSS, CISA KEV), and your local context (asset tier, reachability) into a deterministic, challengeable priority.
Prove exploitability before paging on-call
Multi-engine corroboration plus adversarial probing produces an evidence chain — replication, response trace, exploitation path. Findings land in one of four states: Validated, Validating, Theoretical, Suppressed.
Route the right fix to the right owner
Validated findings reach the team's existing tools with owner, SLA, evidence, and reproduction pre-filled. Re-validation fires automatically when the fix ships; regressions reopen the ticket.
Every finding the platform produces lives in one of four states. Only Validated findings page on-call. Theoretical and Suppressed are quiet by default — audited, not screaming.
Multi-engine corroboration plus adversarial validation captured the receipts: replication script, request/response trace, exploitation path. This is what reaches the queue.
Initial detection cleared corroboration but BAS or analyst confirmation is still running. Visible to analysts in the queue, never paged from this state.
The finding exists, but the asset is unreachable from the internet or BAS is not safe to run against the target. Tracked for context, never paged on its own.
Analyst-suppressed with a reason, or auto-suppressed for known acceptable patterns (e.g. tier-3 marketing missing a header). Full audit trail kept; hidden from defaults.
Multi-tenant from day one. Granular RBAC across five named roles. MSSP-ready white-labeling. The control surface is the product, not an enterprise upsell.
| Action | Super | Org admin | Analyst | Auditor | Viewer |
|---|---|---|---|---|---|
| View findings | |||||
| Validate / re-run scans | — | — | |||
| Suppress / accept risk | — | — | |||
| Manage team + SSO | — | — | — | ||
| Manage API keys | — | — | — | ||
| View audit log | — | — | |||
| Cross-org administration | — | — | — | — |
Per-tenant data, scanners, and configuration. Hard isolation at the database and queue layer — never just a UI scoping convention.
Bring Okta, Entra, Google, or any OIDC IdP. SCIM provisioning for hands-off lifecycle. JWT TTL is 15 minutes by default; refresh tokens rotate.
MSSPs get full visual ownership: logo, palette, sub-domain, customer-facing reports. Persistent, not template overlays.
Every privileged action recorded with actor, target, and reason. Stream to Splunk, Datadog, Sumo, or an S3 bucket — your SIEM, not ours.
Compliance evidence is captured continuously, not assembled the week before an audit. The platform we ship attests to its own posture too.
Every validated finding mapped to technique + tactic.
Web findings categorized to current OWASP categories.
Daily catalog sync. KEV-listed findings escalated automatically.
FIRST.org EPSS score attached to every CVE.
Findings tied to Identify · Protect · Detect · Respond functions.
Asset and config findings mapped to CIS safeguards.
In-scope assets reported against requirement 6 + 11 controls.
Findings mapped to Annex A controls for evidence collection.
PHI-handling assets segmented; technical safeguard mapping.
Continuous evidence for Security and Availability criteria.
AI/LLM findings mapped to the new AI management standard.
Cloud findings cross-walked to Cloud Controls Matrix domains.
CTEM looks the same in the framework diagram. It does not look the same when the regulator walks in. Here's how the platform lands in four enterprise verticals.
Payments path exposure, third-party processor risk, and PCI scope creep — with regulators that read deeper than the audit summary.
Ransomware pressure on legacy systems, PHI exposure on the perimeter, and medical-device firmware that nobody patches.
Multi-tenant isolation bugs, customer data leakage, API auth bypasses, and a supply chain that grows every sprint.
Sovereign data residency, supply chain attacks from sophisticated actors, and a control catalog the size of a phone book.
A validated finding leaves the platform with owner, SLA, evidence, and reproduction steps pre-filled. Nothing for the analyst to copy-paste; nothing for the on-call to re-derive at 2am.
The structure below is the contract: every routed finding carries the same fields, regardless of destination tool. Engineers spend their time remediating — not re-deriving what was already proved.
Three trends shaping CTEM buying decisions this year. We built each into the product before it was an analyst category, not after.
Zero-click prompt-injection exploits against agent and RAG systems have moved from conference talks to wild-caught samples in 2025–26. Shadow-AI services proliferate inside enterprises faster than security teams can inventory them, and most CTEM platforms still treat them as out-of-scope.
VTX treats AI/LLM as a first-class surface: shadow-AI discovery, prompt-injection probing, RAG context fuzzing, model exposure scanning.
Dependency confusion, OAuth-token theft, and CI/CD compromise produced a steady drip of disclosed incidents through 2026. SBOM-as-artifact is widely judged to be falling short — the gap is continuous validation that the dependency in production is the one you reviewed.
Continuous dependency validation tied to your live deploys, not just the SBOM at commit time. Cross-org token usage flagged on first appearance.
Service accounts, OAuth grants, GitHub PATs, AWS roles, signed JWTs — non-human identity sprawl is the largest unmapped attack surface in most enterprises. CISO buying criteria for 2026 explicitly call out NHI discovery and over-permission analysis.
IAM relationship walks across AWS · GCP · Azure plus credential leak monitoring across paste sites, public repos, and CT logs.
We don't publish vanity percentages because the changes that matter aren't single numbers — they're the rhythm of how your team operates. Here is what teams notice in the first quarter on the platform.
Quarterly scan-and-report cycles. Findings age between runs.
Continuous, event-driven assurance. Re-validation fires on KEV entries, code pushes, cloud changes.
Alerts page the on-call whenever severity is high — exploitable or not.
Only Validated findings page. Theoretical and Suppressed live on the dashboard for analysts.
Compliance evidence assembled the week before the audit.
Every finding mapped to MITRE · OWASP · KEV · NIST · PCI · ISO 27001 at write time.
Tickets require the analyst to re-derive reproduction and evidence.
Tickets land in Jira / ServiceNow / Slack with owner, SLA, reproduction, and evidence pre-filled.
"What is our exposure right now?" is a project.
"What is our exposure right now?" is a dashboard question — answered honestly.
Customer logos appear here as agreements complete and references go on the record. Until then — and as a principle, regardless — these are the facts that are verifiable about the platform and the team behind it.
VirtuesTech is the cybersecurity engineering firm behind VirtueThreatX. The product was built by the same team that runs validation engagements at enterprise scale — which is why the platform behaves the way operators expect, not the way a marketing org imagines.
We don't display unnamed logo grids or unattributed testimonials. As customers go on the record, their logos and quotes will appear here — with permission, with names, and with context.
Not a slide deck. Not a recorded walkthrough. A live assessment against a target you own, run with the team that built the platform.
30 minutes, live, with the team that built the platform — not a sales SDR running through a deck.
A domain, an API, a cloud account, or an LLM endpoint. We scan it during the call, with you.
A live, validated exposure report against your target. Yours to keep, with or without us next.
One business day, hand-on-keyboard reply — not a CRM auto-responder. Or email info@virtuethreatx.com.