SOC / NOC

24/7 cyber operations, change management, and continuous compliance delivered by Desert Dragon and enhanced by FinBladeAI

SOC / NOC Overview

Desert Dragon operates an integrated Security Operations Center (SOC) and Network Operations Center (NOC) that monitor, detect, and respond to operational events around the clock. Our proprietary AI engine, FinBladeAI, ingests telemetry from networks, facilities, and application platforms, correlates signals across systems, and prioritizes actions with explainable recommendations. Operational governance is maintained through strict MOP, SOP, and EOP procedures, standardized configuration controls, and continuous monitoring that feeds shared dashboards and client ITSM environments. This framework delivers transparent reporting on risk, performance, and capacity in a cadence aligned with KSA program expectations and the operational requirements of global enterprises.

Our service promise is simple: operations become predictable, auditable, and fast when AI and experts act as one team.

KSA Vision 2030 Alignment

  • Program Ready Cadence: Meets Kingdom residency, policy, and board level risk expectations through transparent governance and reporting.
  • Enterprise Scale and Speed: Sustains global class SLAs for high density AI and cloud estates, reduces mean time to detect and respond, and keeps capacity ahead of demand.
  • Audit Ready Evidence: Presents metrics, tickets, configurations, approvals, and logs as a coherent evidence package ready for any month and any audit.

Capabilities & Features

Service delivery combines AI assisted operations, continuous monitoring, and disciplined operational governance to maintain stable, secure, and scalable infrastructure environments.

24/7 SOC

Security analysts triage, investigate, contain, and recover incidents using playbooks mapped to client policies. Threat intelligence feeds continuously improve detection, while regular table top exercises keep teams prepared.​

24/7 NOC​

Operations engineers monitor power, cooling, connectivity, and capacity, execute planned change windows, and maintain stability across high density and liquid cooled infrastructure estates.​

AI Assisted Operations​

FinBladeAI correlates logs, metrics, and traces from firewalls, SDN overlays, interconnects, DCIM systems, and applications, surfaces probable incidents, and recommends runbook actions with severity, impact, and business context.​

Change and Configuration Control​

A structured CAB process enforces configuration baselines, tracks configuration drift, and supports safe rollback using pre approved change plans.​

Capacity and Performance Management​

The NOC forecasts power, thermal, and network headroom, right sizes infrastructure resources, and publishes capacity roadmaps supporting growth from initial deployment through full program scale.​

Executive Real-Time Reporting​

Operational dashboards present SLA and SLO attainment, MTTA and MTTR, incident classifications, change success rates, capacity trends, and continuous improvement backlogs.​

Operational Controls, Methods, and Governance Framework withAI Assisted Decision Support

Desert Dragon operates a structured governance framework that combines disciplined operational controls, reliability engineering practices, and AI assisted decision support. 

  • Operational Governance: SOP, MOP, and EOP runbooks govern daily operations, with CAB decision records and comprehensive audit trails maintained for every infrastructure change.

  • Observability and ITSM Integration: DCIM and network metrics stream into the client ITSM environment, enabling automated ticketing, escalation workflows, and post incident reviews. Events are correlated and tagged by cost, risk, and service impact.

  • Reliability Engineering: Preventive maintenance schedules, live failover testing, and service continuity planning maintain operational stability across facility and interconnection layers.

  • Converged Security Operations: Physical access controls are enforced, camera and log retention policies are maintained, and periodic access reviews are conducted. Security incidents are coordinated across SOC and NOC teams, with optional blue team integration for advanced threat investigations.

  • Compliance Driven Operations: Quality, service, and security management practices align with recognized standards. Evidence records are maintained continuously and audit artifacts are prepared to support regulatory and client compliance reviews.

AI-driven Operational Loop:

  • Signal Fusion and Prioritization: FinBladeAI correlates events across facilities, networks, and applications, ranks operational signals, reduces alert fatigue, and routes actions to the appropriate operational playbooks.

  • Automated Remediation Guardrails: Safe automation executes corrective actions such as route adjustments, system isolation, or configuration restoration when policies permit, while higher risk actions require human approval.

  • Post Incident Learning: Lessons from incidents and operational changes are captured, runbooks are updated, and future recommendations are improved through reinforcement feedback.

Service Level Objectives, Operational Targets, andPerformance Transparency

The following examples illustrate the service level objectives, operational performance targets, and reporting transparency used to manage Desert Dragon environments. Actual metrics and review cadence are tailored to each client contract, infrastructure design, and operational governance model.

  • Availability: Facility availability targets of 99.982 percent aligned with Tier architecture, with interconnection SLOs defined by metro and carrier stack.

  • Response: P1 incidents acknowledged within ≤ 5 minutes and contained within ≤ 30 minutes; P2 and P3 response targets defined by client policy.

  • Change Success Rate: ≥ 98 percent of changes executed successfully, with rollback procedures governed under EOP protocols.

  • Capacity Headroom: Maintains agreed thresholds for power, cooling, and network utilization to support predictable scaling and workload growth.

Real-Time Visibility:

  • Operations Overview: Incident summaries, SLA attainment, backlog aging, and top operational risks.

  • Security Posture: Detection trends by tactic and technique, control coverage visibility, and tracked security exceptions.

  • Reliability and Capacity: MTBF and MTTR metrics, failover test outcomes, and power, thermal, and network capacity headroom.

  • Change and Compliance: CAB decisions, configuration drift monitoring, and readiness of audit evidence artifacts.

Operational and Performance Outcomes with Measurable Infrastructure Value

Faster Incident
Resolution

Continuous SOC and NOC monitoring with AI assisted triage reduces detection and response times.

Operational
Stability

Lower cooling energy per rack and improved PUE contribution at identical loads.

Transparent
Operations

Client dashboards provide clear visibility into incidents, SLAs, and infrastructure performance.

Secure, Flexible Hyperscaling &
Colocation Solutions

Get in touch with us to learn how our secure colocation environments and industry-leading interconnection services can support your growth and ensure operational continuity.