Session
Advanced Threat Detection for Sitecore: Machine Learning Defense for Content Supply Chains
Sitecore’s transition toward XM Cloud, Headless Services, CDP, and Personalization APIs has introduced an entirely new attack surface—one that traditional AppSec tooling struggles to detect. Attackers now target headless content pipelines, JavaScript rendering hosts, personalization endpoints, GraphQL APIs, and Sitecore-managed microservices.
This session presents a highly technical deep dive into an AI-driven heuristic detection framework, adapted from my malware research, and engineered specifically to protect Sitecore cloud architectures running on Azure & Kubernetes.
We will explore:
1. Threat Landscape in Modern Sitecore Deployments
API scraping, credential stuffing, and token replay attacks on XM Cloud
Malicious bot traffic mimicking personalization behaviour
Exploiting Sitecore Experience Edge and CDP event pipelines
Attacks via JavaScript Rendering Hosts (Next.js / Vercel / Azure Front Door)
2. Why Traditional Detection Fails
Firewall & WAF evasion via user-agent rotation & behavioural masking
How attackers bypass CDN caching policies
Polymorphic API payloads that evade rule-based scanning
Adversarial ML attacks against behavioural analytics
3. AI/ML Heuristic Detection Framework for Sitecore
Adapting the ML methods used in detecting Trojan malware, this framework applies:
API call behavioural profiling (frequency, entropy, anomaly scoring)
Opcode-level analysis of serverless functions (Azure Functions)
Graph-based analysis of CDP event flows
Feature engineering from Sitecore logs, telemetry, Experience Edge events
XGBoost, SVM, Random Forest & Ensemble models trained to detect API abuse
Adversarial resilience techniques to prevent poisoning of ML models
4. Enterprise Architecture Blueprint
We will present a production-ready architecture showing:
Azure Sentinel + Defender for Cloud Apps integration
Real-time anomaly detection pipeline using Azure ML + Log Analytics
Automated blocking via APIM, Azure Front Door, and Sitecore Experience Edge
SIEM correlation rules tailored specifically for Sitecore workloads
5. Live Demo (Optional if accepted)
A safe, offline demonstration showing:
API-level attack simulation on a headless Sitecore endpoint
Detection of malicious behaviour via ML model
Automated mitigation triggers in Azure Front Door
Darlington Okeke
Cybersecurity Researcher | CEH | CPT | MSc Cyber Security | AI for Threat Detection
Cheltenham, United Kingdom
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