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

Actions

Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.

Jump to top