Oracle Labs research is focused on real-world outcomes: our researchers aim to develop technologies that will someday play a significant role in the evolution of technology and society.
Anomaly Detection and Identity Management
The MSO group performs anomaly detection in 2 specific areas: (1) Multivariate time series analysis, and (2) Identity Management anomalies based on user behavior models
Automated Machine Learning and ML Explainability
This project is building an advanced pipeline for automating machine learning, including model selection, feature selection, hyperparameter tuning and model explainability.
Computer Architecture and Performance Modeling (CAP)
Performance analysis of computer system architectures exploiting new technology trends using advanced workload characterization and modeling techniques.
Distributed Systems Group
Domain Global Graphs
Integrates PGX & Data Studio into solutions that investigate domain graphs, e.g., in Oracle Financial Services Crime & Compliance Studio, and researches improvements, e.g., by using Machine Learning.
Intelligent Application Security (IAS)
The Intelligent Application Security team at Oracle Labs works on innovative projects in the application security space spanning areas like program analysis and machine learning.
Machine Learning Research Group
Machine Learning on Graphs
This project focuses on developing machine learning techniques and its applications over graph-structured data across multiple domains like cybersecurity, compliance, healthcare and recommenders.
Native Graph Support in Oracle Autonomous Database
The project aims at bringing state-of-the-art scalable graph analytical technologies into Oracle Autonomous Database.
Open Source Intelligence (OSInt)
OSInt is a program analysis/big data analytics project that aims to gather information about vulnerabilities in third party libraries from various sources on the internet.
Oracle Database Multilingual Engine
A runtime for executing GraalVM languages in Oracle Database.
Oracle Labs Apps
Designing, building and operating modern apps running on Oracle Cloud Infrastructure
Oracle Labs Data Studio
A multi-tenant, multi-server, scalable and secure arbitrary code execution engine with a notebook frontend.
Parallel Graph AnalytiX (PGX)
Parallel, efficient, in-memory, single-machine and distributed graph processing
Programming Language Research Group
Project RASPunzel aims to deliver an automated and scalable runtime application self-protection (RASP) solution for Java.