How a European Gaming and Entertainment Leader Transformed Security Operations Through AI Automation and Platform Consolidation

A leading European gaming and entertainment company transformed its reactive security operations to a proactive posture through AI-driven automation and platform consolidation. Partnering with Wipro and Palo Alto Networks, the organization deployed an advanced AI/ML-powered Security Operations Center (SOC) platform enabling preemptive threat detection, automated incident response, and significant cost optimization. This multi-year transformation reduced business-as-usual costs by 25%, enhanced analyst productivity, and strengthened cyber resilience through accelerated threat hunting and remediation.

Ambition

The client's security operations faced several critical constraints:

• Fragmented tooling: Legacy, siloed SOC tools created visibility gaps and severe alert fatigue
• Reactive posture: Extended mean time to detect (MTTD) and respond (MTTR) stemmed from operational complexity across multiple security tool stacks
• Revenue exposure: Prolonged incident resolution cycles led to unnecessary business risk
• Attack surface complexity: Reactive processes made it difficult to manage the increasingly sophisticated threat landscape

Strategic Objective

Transform legacy security operations architecture into an AI-integrated, unified platform delivering:

• Intelligent automation and comprehensive operational visibility
• Proactive threat detection across network, endpoint, and cloud environments
• Seamless integration optimizing processes and operational efficiency

Action

Wipro Cybersecurists led a phased, strategy-first transformation through a 4-step process.

1. Assessment and Strategy

Conducted comprehensive security risk assessments to identify cost inefficiencies and operational pain points.

2. Strategic Partnerships

Leveraged alliances with Palo Alto Networks and Qualys for advanced threat detection and vulnerability management capabilities.

3. Platform Consolidation

Implemented Palo Alto Networks Cortex XSIAM, a next-generation AI/ML-powered SIEM/XDR platform that:

• Aggregates and correlates alerts into comprehensive, high-confidence incidents
• Consolidates multiple legacy tools (SIEM, SOAR, NDR) into a unified platform
• Reduces licensing complexity and operational overhead
• Enriches incidents with threat intelligence from Palo Alto Networks Unit 42^®, Wipro CyberShield^SM platform, and industry-recognized integrations

4. AI Automation-First Operating Model

Established automated remediation capabilities through:

• Proactive playbook development
• AI-driven alert triaging
• Reduction of manual analyst workloads and false positives

Ambition Realised

The transformation delivered quantifiable results across three dimensions.

1. Cost Optimization

• £1M annual savings (15–20% reduction) in vendor management costs through a unified platform approach and simplified contract management
• 30% reduction in cloud storage and compute costs through compressed forwarding of 300GB daily log ingestion
• £100K annual savings in compliance support through a 60% reduction in audit preparation time

2. Operational Efficiency

• Approximately 1,000 analyst hours saved per quarter through 10+ automated playbooks for repetitive tasks
• Enhanced security analyst productivity via AI-driven alert triaging
• Improved log ingestion rate and data processing capabilities

3. Security Posture

• 25% reduction in overall business-as-usual costs
• Strengthened cyber resilience through proactive threat hunting
• Faster remediation response reducing organizational risk exposure