Platforms
Software we build, run, and stand behind
Each of these platforms exists because one of our own teams hit a wall: a SOC that couldn't out-hire its alert volume, an exposure program that had to prove what it reported, an automation practice tired of repairing its own tests. We run our business on all three every day. No resold licenses, no rebadged tooling: when we say how something works, we can show it running.
Continuous Threat Exposure Management
VirtueThreatX
Continuous threat exposure management that scopes, discovers, prioritizes, validates, and mobilizes. Every finding is validated as exploitable before it reaches you, with instant, scheduled, or continuous scanning across web, API, network, code, mobile, cloud, container, identity, and AI/LLM, so your engineers' remediation time goes to proven risk.
Explore VirtueThreatX →Security Operations
VirtueShieldX
AI-driven detection built on 2,250+ MITRE ATT&CK-mapped rules, behavioral analytics, and autonomous triage. Analysts supervise every consequential decision, so what reaches your team is a judged incident rather than an alert queue.
Explore VirtueShieldX →Quality Engineering Suite
VirtueATLAS
AI-assisted test authoring and self-healing automation that validates, executes, and learns, integrated with Jenkins, GitHub, GitLab, Azure DevOps, and Jira, keeping release evidence current without a sprint spent on test repair.
Explore VirtueATLAS →One loop across three platforms
Prove
VirtueThreatX validates which exposures an attacker can actually exploit, so what moves forward is proven risk rather than a scanner count.
Encode
Proven findings become regression coverage in VirtueATLAS and detection content in VirtueShieldX: the fix is guarded on every release, and the pattern is watched across the estate.
Watch
VirtueShieldX monitors and responds with that exposure context attached, which sharpens what VirtueThreatX validates next time around.
Each platform stands alone; together they close a loop a stack of point tools leaves open. How the assurance loop works →
Where AI does the work, and where humans decide
Every AI claim on these pages says what the AI actually does, because a buyer who can’t tell automation from marketing can’t govern either one. Detection, scanning, and test execution run autonomously. Prioritization, triage, and authoring are AI-assisted with engineer review. Anything consequential (containment actions, exploit validation, a finding reaching your report) is supervised by a human who can be named.
The three platforms sit inside a wider stack of security, QE, and telemetry tooling our engineers run daily. See the full technology ecosystem →
See it running
A guided walkthrough of the platform with the team that built it, on live data, with your questions answered in real time.