Platforms / Security Operations

Security operations that run an autonomous loop in production

Every security leader owns the same arithmetic: thousands of alerts a day, a handful of analysts, and the incident that matters buried somewhere between them. VirtueShieldX is the platform we built for our own SOC because that arithmetic never closes on headcount alone. SIEM, SOAR, and MITRE ATT&CK-mapped analytics run as one system, driving an autonomous loop that investigates, prioritizes, remediates, and validates, with analysts supervising every consequential decision.

2,250+ MITRE ATT&CK-mapped detection rules
UEBA behavioral analytics
Built and operated in production by our own SOC team
Reporting aligned to NIST · ISO 27001 · SOC 2

VirtueShieldX risk-posture dashboard showing risk reduced, open incidents, 30-day trends, the detection-rule count, MITRE ATT&CK techniques observed, and recent UEBA alerts — Risk posture across SIEM, XDR, and CTEM: what the loop has reduced and what remains. This is the screen a leadership review starts from.

The autonomous loop

01
Detect
The full ATT&CK-mapped rule base plus behavioral analytics watch live telemetry around the clock.
02
Investigate
AI triage assembles context (entities, history, related signals) before an analyst ever opens the case.
03
Prioritize
Incidents ranked by real risk, compressing alert volume into a short list of decisions.
04
Respond
Containment playbooks execute under human approval gates.
05
Learn
Outcomes feed detection tuning: the loop improves with every incident. This is the platform's newest capability, and it is real: first end-to-end production runs completed June 2026, under analyst supervision, with human approval gates.

Capabilities

SIEM + SOAR, one platform

Log collection, detection, correlation, and orchestrated response in one data model. Engineering gets a single integration surface; leadership gets posture, incidents, and audit evidence from one system of record.

MITRE ATT&CK-mapped detection

Every rule maps to an attacker technique, so 'are we covered for lateral movement?' has a checkable answer: one an executive can ask in a review and an engineer can verify on the coverage grid.

Behavioral analytics (UEBA)

User and entity baselines catch the credential misuse and insider patterns that signatures can't, the class of incident that otherwise surfaces months later in an audit.

Analyst-supervised response

The 3am page arrives as a case, with context assembled, signals fused, and a proposed action waiting. Automation proposes and executes under approval gates; a named human owns every consequential action.

Architecture

How it's built

One tenant-isolated data model from telemetry to response: SIEM, analytics, and SOAR in one system, not three vendors stitched together at the reporting layer.

Ingest

Telemetry & exposure

Endpoint and log telemetry via Wazuh agents, curated threat-intelligence feeds (ThreatFox and others), and vulnerability findings from Trivy, normalized into one tenant-isolated data model.

Detect

SIEM + analytics

The ATT&CK-mapped rule base plus user- and entity-behavioral analytics (UEBA) correlate signals into cross-domain incidents rather than a longer alert list.

Decide

AI triage & prioritization

Incidents are enriched, fused, and risk-ranked automatically; analysts open cases, not raw alert queues.

Act

SOAR under approval gates

Containment playbooks execute only after a named analyst approves, and can run in dry-run mode first. Every consequential action is supervised.

Integrations

Telemetry & scanning: Wazuh agents, Trivy, ThreatFox + curated threat-intel feeds
Response connectors: Outbound action connectors for containment, ticketing, and notification (executed under approval)
Reporting: Evidence aligned to NIST, ISO 27001, and SOC 2 expectations

Deployment & data

Multi-tenant with strict per-tenant data isolation. Deployment and data-handling terms are agreed during the pilot and committed in your service agreement. The platform is built and operated by our own SOC team.

Per-tenant data isolation; data-handling terms committed in your service agreement. See Trust & Company Facts.

Inside the platform

Real screens from a live demo tenant. Client data is redacted; the interface and data model are exactly what your team works in.

VirtueShieldX incidents view: cross-domain incidents formed from fused alerts, with severity, alert counts, status, MTTR, and SLA aging — Incidents: cross-domain incidents fused from alerts, each opening the loop that investigates, prioritizes, remediates, and validates.

VirtueShieldX remediation playbooks in dry-run mode, showing contain-phishing, secure-identity, and remediate-vulnerability playbooks with connector steps — Remediation playbooks run only after the human approval gate, shown here in dry-run (simulated) mode.

VirtueShieldX MITRE ATT&CK coverage grid mapping detection rules and observed incidents across the MITRE ATT&CK tactics — ATT&CK coverage: detection rules and observed incidents mapped across the MITRE tactics, with gaps flagged.

What the AI does, precisely

Autonomous: Detection, enrichment, and investigation context-building run continuously.
AI-assisted: Triage and incident prioritization are AI-driven, reviewed by analysts.
Human-decided: Containment and response actions execute only under analyst approval gates.

In service delivery

VirtueShieldX is the engine of our Managed SOC and the console our analysts work in every shift. Your 30-day pilot runs on this exact system, against your own telemetry: what you evaluate is precisely what you get.

Managed SOC as a Service →

See it running

A guided session with the SOC team that operates the platform daily, and a 30-day pilot path if you'd rather judge it on detections from your own estate.

See it on your own telemetry