mobile image

AI Hyper-Automation for SOC and Case Management

At Standard Chartered, SOC and response teams face increasing pressure from growing alert volumes, complex investigations and rising expectations in terms of speed, consistency and auditability. Solution: To address these challenges, Standard Chartered implemented an AI hyper-automation strategy embedded into SOC and case management workflows, with a strong focus on analyst enablement and governed automation. The solution is an intelligent platform providing real-time situational awareness of users, applications and threats across the bank. The bank-wide solution applies machine learning and LLMs to dynamically score risk, prioritize alerts and cases and enrich detections with contextual intelligence. AI-driven triage automatically classifies events and averts duplication before case creation, while generative AI supports analysts by producing concise case summaries and drafting communications. An in-console AI co-pilot provides real-time guidance, similar-case recommendations and next-best actions, operating under a strict human-in-the-loop model.

Impact / Outcome
Deployed incrementally with guardrails, full observability and kill-switch controls, the approach delivered measurable efficiency gains, including a 25–35% reduction in manual triage effort and 20–30% improvement in time-to-triage. Low-risk, repetitive cases are auto-resolved within defined thresholds, enabling teams to focus on high-impact investigations. The result is a responsive, scalable operating model that strengthens security outcomes without compromising human accountability or control.
Key Metrics
25-35% reduction in manual triage effort 20-30% improvement in time-to-triage
Locations
Europe, United Kingdom
Sector
Financial services
Year published
04 May 2026
Organization involved
Avatar Image
Standard Chartered