Down from a 47-minute baseline. Autonomous isolation, quarantine, and incident logging — without human intervention.
AI classifies and responds to 98.7% of security events with no human action required, freeing the SOC team for strategic threat hunting.
Consolidation of 14 point-security tools into one unified platform, plus reduced SOC headcount requirement, drove 41% operational savings.
Zero successful intrusions into operational technology systems in 14 months of live operation — across 3 UK energy generation sites.
The threat. The shield.
Legacy perimeter security left critical infrastructure exposed to nation-state threats
The client operated three UK energy generation facilities under the National Cyber Security Centre's Critical National Infrastructure designation. Their security posture was built on perimeter firewalls installed in 2014 — with no micro-segmentation, no OT/IT boundary enforcement, and no behavioural analytics on internal traffic.
A 2024 NCSC advisory identified active nation-state reconnaissance against UK energy infrastructure matching the client's profile. Threat intelligence showed lateral movement tools pre-positioned inside the OT network. The IT security team was triaging 4,200+ alerts per day manually — at a 47-minute average response time.
Regulatory exposure was equally severe: NIS2 transposition into UK law, combined with incoming CNI security baseline obligations, required material improvements within 12 months or face potential operational licence review.
AI-native zero-trust with autonomous OT/IT segmentation and SOAR response
TechProf architected a zero-trust framework across all three sites in parallel. Every network identity — device, user, and service — was reclassified and issued micro-perimeter policies. OT and IT networks were fully segmented at Layer 3 with policy-based inspection at every boundary crossing.
The SIEM layer was replaced with a purpose-built AI model trained on 18 months of client telemetry and enriched with TechProf's proprietary energy-sector threat intelligence feed. The model classifies threats in under 200ms with 98.7% confidence before passing to the SOAR automation layer.
The SOAR playbook library — 340 automated response workflows — handles containment, quarantine, evidence preservation, and regulatory notification autonomously. Critical asset isolation takes 2.1 seconds from initial detection to network cut. The SOC team receives a complete remediation dossier, not an alert to act on.
Live across three sites
in 22 weeks.
Full asset inventory across OT/IT boundary, active threat intelligence assessment, NCSC CNI gap analysis, zero-trust policy design.
Zero-trust network architecture deployed site-by-site; device identity certificates issued; OT protocol inspection (Modbus, DNP3, IEC 61850) enabled.
18-month telemetry ingestion, AI model training, 340 SOAR playbooks written and tested. Parallel run with legacy SIEM for validation.
Full cutover with 72-hour hypercare, legacy tool decommission, NCSC CAF self-assessment submission, NIS2 compliance documentation delivered.
"We went from a team drowning in 4,000 alerts a day to a system that handles 98% of them without waking anyone up. The NCSC reviewed our new posture and called it a model for the sector. TechProf didn't just fix our security — they fundamentally changed how we think about resilience."
How exposed is your
OT/IT boundary?
Our free CNI security assessment identifies your highest-risk exposure paths and a prioritised remediation roadmap — typically delivered in 5 working days.