GraalVM

A high-performance runtime supporting Java and JVM languages, JavaScript, Ruby, R, Python, C/C++, and more. It can run standalone or embedded in OpenJDK / OracleJDK, Node.js, and Oracle Database.

KeyBridge

KeyBridge is a multi-disciplinary project using expertise from systems-programming, data visualization and machine learning in order to understand massive streams of data.

Macaron

Macaron is a supply chain security analysis tool which focuses on the build integrity of an artifact and the artifact dependencies

Machine Learning Research Group

The mission of the Machine Learning Research Group is to scale Machine Learning across Oracle by researching and developing ML-based solutions that improve Oracle's products and services.

Mathematical Optimization

The MLRG group in Oracle Labs builds general tools to solve both classic and emerging optimization problems and provides consulting to develop specific optimizations solutions for Oracle customers

Parallel Graph AnalytiX (PGX)

Parallel, efficient, in-memory, single-machine and distributed graph processing

Programming Language Research Group

Programming language design, semantics, algorithms, and implementation with an emphasis on convenient use of parallelism using multicores and GPUs.

RASPunzel

Project RASPunzel aims to deliver an automated and scalable runtime application self-protection (RASP) solution for Java.

Secure Languages

Exploration of new secure language concepts and secure abstractions that can be applied in future languages to prevent vulnerabilities in code written in those languages.

Anomaly Detection for Multivariate Time Series

Multivariate time series analysis provides early detection of anomalies in Oracle Customer assets and products, allowing customers to avoid costly failures and outages.

Application Platform

The Application Platform project enables automated testing, scaling, tuning, and failure detection and recovery to help improve application security, reliability, and performance.

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.

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 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.

User Behavior Models for Identity Management

User behavior models can detect security attacks and risks. We have developed models that protect Oracle assets using a unique clustering approach.