AI at VirtuesTech
AI runs through everything we deliver: it finds exposures, drafts detections, triages incidents, and authors tests. We also test and secure the AI our clients are shipping. On both sides the rule holds: AI does the volume work, and a named person owns every consequential call. This page is the whole picture in one place.
Most of the market talks about one of these. We do both, and the same engineering discipline runs through each.
Our three platforms put AI to work on the parts that scale. VirtueThreatX validates which exposures are genuinely exploitable before they reach you. VirtueShieldX runs AI-driven detection and autonomous triage under analyst supervision. VirtueATLAS authors tests and self-heals automation as your application changes. Each one earns its keep on live client work every day, on real releases rather than in a demo.
AI features open an attack surface your last assessment never saw: prompt injection, insecure model integration, and shadow-AI endpoints. Our offensive team tests them as first-class targets. In one engagement we demonstrated a working prompt-injection bypass in an AI rewrite endpoint, plus two file-upload bypasses, all remediated and verified clean on retest. VirtueThreatX treats AI and LLM systems as one of its nine attack surfaces.
The delivery side, made concrete. Each platform states the AI capability plainly and shows it running.
Exposure validation
Findings are corroborated across engines and proven exploitable before your team sees them, across web, API, network, code, mobile, cloud, container, identity, and AI or LLM surfaces. What pages your engineers is proven risk.
Explore VirtueThreatX→Security operations
AI-driven detection on 2,250+ MITRE ATT&CK-mapped rules, behavioral analytics, and autonomous triage. The loop has run in production since June 2026 under analyst supervision, with containment always a human decision.
Explore VirtueShieldX→Quality engineering
AI-assisted test authoring and self-healing automation that validates, executes, and learns as the application changes, integrated with Jenkins, GitHub, GitLab, Azure DevOps, and Jira so release evidence stays current.
Explore VirtueATLAS→Most vendors will tell you they use AI. Far fewer will tell you where it acts alone and where it stops. We publish that line, because when your auditor or your customers ask how AI acts on your environment, that line is the answer you need.
No consequential action touches a live system without a named approver. Response playbooks can dry-run in simulated mode first, so you see exactly what an automated action would do before it happens.
In any of our platforms. Client data stays in per-tenant isolation, and the commitment is fixed in your service agreement rather than left to a policy page that can change after signature.
The five commitments and the exact answers your AI-governance questionnaire will ask for.
VirtueThreatX, VirtueShieldX, and VirtueATLAS: what each does, and how they close one assurance loop together.
Prompt injection demonstrated in an AI rewrite endpoint, then fixed and verified clean on retest.
A practical checklist for taking an AI feature to production, from our engineering practice.
A guided walkthrough of the platform with the team that built it, on live data, with your questions answered in real time.