Omni-Channel Retail SecOps Uplift & Bot Defense Platform
CYVERRA designed and deployed an integrated cloud application security architecture and automated SecOps pipeline for an omnichannel retail group facing high-volume bot traffic and credential stuffing attacks. The engagement fortified digital checkout pathways, reduced malicious automated traffic, and streamlined PCI DSS compliance monitoring across all brand storefronts.
Multi-brand online fashion and homeware retailer
- -94%
- Malicious Bot Traffic Reduction
- -78%
- Mean Time to Contain (MTTC)
- <0.01%
- False Positive Block Rate
- <12ms
- Checkout Latency Overhead
The Challenge
The client operated multiple international eCommerce storefronts experiencing rapid traffic growth alongside increasingly sophisticated automated threats. Peak trading events and flash sales regularly attracted distributed bot networks executing inventory hoarding, credential stuffing, and card-testing attacks on checkout endpoints. The legacy perimeter defenses lacked behavioral intelligence, leading to high false-positive block rates that interrupted legitimate shoppers and increased cart abandonment. Simultaneously, the widespread use of third-party client-side marketing tags, analytics tools, and payment widgets introduced significant supply-chain exposure. With the enforcement of PCI DSS 4.0 requirements, the organisation needed robust controls to mitigate digital skimming (Magecart) threats and gain deterministic visibility over all browser-executed scripts across five distinct brand domains. Security operations were further hindered by fragmented logging across multi-cloud production environments. Without a centralised Security Operations Center (SOC) framework or automated response capabilities, threat triage relied on manual engineering intervention, delaying incident containment and straining internal development resources.
Our Approach
CYVERRA designed and implemented an enterprise application security and edge defense architecture. At the perimeter, we deployed an advanced behavioral bot management layer and adaptive Web Application Firewall (WAF) integrated directly with the client's continuous delivery pipeline, enabling automated rule updates that dynamically tuned rate limits and challenge thresholds based on live transaction risk scoring. To address client-side supply chain vulnerabilities, CYVERRA established an automated script governance and Content Security Policy (CSP) orchestration engine. This system continuously inventories and sandboxes third-party JavaScript running on digital storefronts, generating real-time alerts upon any unauthorized DOM tampering, script alteration, or sensitive form-field exfiltration attempt. Finally, we integrated security telemetry across all cloud estates into a unified SIEM and Security Orchestration, Automation, and Response (SOAR) platform. CYVERRA engineered bespoke playbooks to automate the containment of suspected account takeover (ATO) activity, trigger step-up multi-factor authentication, and isolate suspicious API sessions within seconds of detection.
The Outcome
The modernised security posture neutralized malicious automated traffic at the edge, protecting inventory integrity during peak commercial campaigns and reducing infrastructure compute costs previously wasted on processing bot requests. Checkout availability and conversion rates improved due to near-zero false positive disruptions for authentic shoppers. Operational response efficiency increased dramatically, enabling the security team to handle elevated threat volumes during holiday trading without manual escalation. The automated script governance and continuous compliance telemetry accelerated the client's PCI DSS 4.0 attestation process while preserving release agility for digital merchandising teams.
Technology used
- Cloudflare Enterprise
- AWS WAF
- Datadog Cloud SIEM
- Palo Alto Cortex XSOAR
- Terraform
- CSP Script Governance Engine
- OAuth 2.0 / OpenID Connect
CYVERRA provided the specialized engineering and threat intelligence required to shield our checkout pipelines from advanced bot networks without compromising customer conversion rates during peak trading events.