Operation Escalation - How Commodity Programs Are Evolving Into Advanced Threats
Explore how common programs transform into sophisticated threats, examining indicators, processes, and impacts across various sectors and geographic regions.
Harnessing Complex Event Processing for Fraud Detection
Explore complex event processing for fraud detection in gambling systems, covering technological evolution and specific use cases in this niche domain.
Fighting Fraud with Graph Databases
Explore graph databases for fraud detection in social security, featuring real-world examples and comparisons with traditional SQL databases. Learn implementation techniques and data quality considerations.
Beyond Phish - Toward Detecting Fraudulent e-Commerce Websites at Scale
Explore techniques for detecting fraudulent e-commerce websites at scale, moving beyond traditional phishing detection methods to enhance online shopping security.
Processing Streaming Data with KSQL
Explore KSQL, a SQL-like language for Kafka stream processing. Learn to create powerful applications with ease through live coding demonstrations on real-time data.
Teaching Your Machine to Find Fraudsters
Learn statistical and machine learning techniques to detect online fraud, flag suspicious activity, and protect e-commerce systems using PHP and other technologies.
What Finance Can Learn From Dating Sites
Explore how finance can leverage data-driven techniques from dating sites for improved matching, risk analysis, and fraud detection using graph databases and sophisticated algorithms.
The Cards Aren't Alright - Detecting Counterfeit Gift Cards Using Encoding Jitter
Innovative technique for detecting counterfeit gift cards using magnetic stripe encoding jitter, offering a cost-effective solution to reduce fraud and financial losses in the gift card industry.
Enable Real-time Analytics and Machine Learning with Azure Stream
Explore Azure Stream Analytics for real-time data processing, integrating with Power BI dashboards and Azure ML. Learn to build streaming jobs and implement lambda architecture for data-driven insights.
Lifecycle of a Phone Fraudster - Exposing Fraud Activity
Exposing phone fraudsters' tactics in account takeovers through acoustic analysis and graph theory, revealing reconnaissance patterns and providing insights to enhance call center security.
Fraud Detection - Real Time Trust Decisions
Real-time fraud detection using relationship graphs and machine learning. Explores credit card fraud history, classic attacks, and lessons learned in making trust decisions.
Courtroom08 Fraud - Should You Worry
Explore the intricacies of fraud in legal settings, its potential impacts, and strategies for protection with expert insights from Greg Hanis.
Brave New World of Artificial Intelligence
Explore the future of AI, from its foundations to modern applications. Learn about machine learning, knowledge engineering, and real-world AI scenarios across various industries.
Kubernetes to Serve a Fraud Detection Model
Explore how Kubernetes powers real-time fraud detection in e-commerce, ensuring reliable and scalable transaction processing with automated deployments and business logic integration.
Real-World Applications of Machine Learning - Beyond the Hype
Explore practical applications of machine learning in fraud detection, investment decisions, and agriculture. Industry experts discuss how startups can leverage AI for innovative solutions.
Enhanced AML Fraud Detection Solutions with Azure Machine Learning
Enhance AML fraud detection using Azure Machine Learning to reduce false positives and prioritize flagged items. Learn implementation techniques and explore applications in other financial domains.
Microservices and Rules Engines – A Blast from the Past
Explore how rules engines can revolutionize microservice architectures, reducing dependencies and improving system design for services like search, pricing, and risk management.
Securing the Web with AI
Explore innovative AI-driven web security methods, including facial recognition for 2FA, user behavior analysis, and machine learning to detect fraudulent content, enhancing protection for all users.
The AI-Based Banking Era: Transforming Financial Services Through Artificial Intelligence
Discover how AI is revolutionizing banking through enhanced customer service, risk management, and fraud detection while creating personalized financial experiences and operational efficiency.
Designing a Real-Time Model to Prevent Fake Account Sign-Up
Develop a real-time machine learning service to prevent fake account sign-ups. Learn about statistical challenges, computational scaling, and deployment pitfalls in low-latency ML inference.
Event-Driven Microservices in Banking and Fraud Detection - Designing Event-Driven Microservices
Explore event-driven microservices in banking and fraud detection. Learn about isolation, resilience, performance improvement, security, and polyglot architecture for modernizing systems.