Cybersecurity AI · Power Consultancy
The threat landscape facing governments, financial institutions, and critical infrastructure operators across the GCC has changed fundamentally. Adversaries are faster, better-resourced, and increasingly capable of operating below the detection threshold of conventional security tools. Static rule sets cannot keep pace. Perimeter-based architectures assume a boundary that no longer exists. And the volume of telemetry generated by modern enterprise environments, tens of millions of events per day, has long exceeded the capacity of human analysts working without AI augmentation.
SOC-AI is Power Consultancy's answer to that reality. It is a sovereign, on-premise Security Operations platform built around seven purpose-trained machine learning models that operate across a unified inference layer, ingesting, correlating, and acting on signals from every layer of your environment in real time, without sending a single byte of your data outside your controlled infrastructure.
Platform Performance
94%
Alert Reduction
42ms
Detection Latency
99.3%
Model Accuracy
4.2s
Automated Response
Where a conventional SOC analyst faces upward of 1,800 raw alerts per shift, the majority of which are false positives generated by tools that lack contextual awareness, SOC-AI reduces that queue by 94%, presenting only the incidents that genuinely require human judgement. The analysts who work alongside the platform are not replaced. They are freed to focus on the cases that matter, with every alert they receive pre-enriched, MITRE ATT&CK-mapped, and accompanied by a full investigation summary generated in real time.
Core Capabilities
SIEM · Event Correlation
Ingests 14,200+ events per second across 847 detection rules. Unsupervised ML clustering identifies rare event combinations invisible to static logic, correlating 41 million daily raw events down to actionable incident clusters.
UEBA · Behavioural Analytics
Builds dynamic behavioural baselines for every entity in your environment: users, devices, and service accounts. Deviations from 14-month baselines are scored, ranked, and surfaced before they become incidents.
NDR · Network Detection
Detects zero-day C2 channels through ML analysis of beacon periodicity and traffic anomalies, including traffic that appears benign on the surface. Operates without signatures, adapting continuously to your network's evolving baseline.
SOAR · Automated Response
238 pre-built response playbooks execute in 4.2 seconds from detection to containment. 91% of incidents are fully resolved without analyst intervention. Critical decisions requiring human sign-off are escalated with pre-built case summaries.
Threat Intelligence
84 curated global feeds deliver 2.4 million fresh indicators of compromise daily. Tracked threat actor profiles, including active GCC-targeting groups, are continuously correlated against your live environment telemetry.
AI Copilot
Every analyst on the platform works alongside a natural-language AI copilot that can query the entire data environment, explain decisions, reconstruct attack timelines, and draft incident reports, reducing investigation time from hours to minutes.
Sovereignty & Compliance
SOC-AI is architected from the ground up for organisations that operate under strict data sovereignty requirements. All inference runs on-premise within your network perimeter, or within a customer-controlled private cloud tenancy governed entirely by your data protection framework. No telemetry leaves your boundary. No model weights are shared. No vendor has visibility into your environment.
Every decision made by the platform is logged with a full, human-readable audit trail traceable to the underlying data, satisfying the evidentiary requirements of NCA, SAMA, CITC, and equivalent regulatory frameworks across the region. This is not a managed service built on a third-party engine. It is infrastructure you own, operate, and can inspect at every layer.
Deployment Process
01
Environment Assessment
Our engineering team conducts a full audit of your existing stack, covering SIEM, EDR, firewall, identity, and network, and maps every data source to the SOC-AI ingestion layer. We identify coverage gaps, redundant tooling, and the baseline telemetry volume your environment generates.
02
Integration & Instrumentation
SOC-AI connects to your existing infrastructure via native integrations, with no rip-and-replace required. We instrument every data source, validate ingestion quality, and deploy the platform within your controlled environment. Typical integration timelines run two to four weeks.
03
Baseline Calibration
The ML models are calibrated against your environment's specific behavioural baseline over a structured observation period. Detection thresholds, alert suppression rules, and escalation logic are tuned to your organisation's risk tolerance and operational context, not generic defaults.
04
Parallel Operations
SOC-AI runs in parallel alongside your current SOC workflow until detection confidence thresholds are met and your analysts are fully proficient with the platform. We do not cut over until you are satisfied that the system performs to specification in your specific environment.
05
Continuous Improvement
Post-deployment, Power Consultancy remains engaged. We refine detection logic as your threat landscape evolves, extend coverage to new asset classes as your environment grows, and conduct quarterly threat model reviews aligned to the latest adversary TTPs targeting your sector and region.
