The Future of Security and Privacy
Intel Labs collaborates with academia, government, and industry to identify, prioritize, and proactively develop solutions that help protect data and workloads from future security risks.
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Ensuring Trust at Every Level
Maintaining data integrity, privacy, and accuracy is at the heart of our security research. From innovations that help protect sensitive workloads to the development of AI methods that will help restore the public’s trust in media, we are at the forefront of security and privacy research and development.
Security and Privacy Research Areas
Confidential Computing
Protecting sensitive data with hardware-based solutions that encrypt data while it is being used in the processor and memory.
Federated Learning
Using AI to process high volumes of data in decentralized systems to increase performance and security and gain deeper business insights.
Encrypted Computing
Reducing cybersecurity threats with next-generation data protection that enables always-encrypted data to be processed without risk of exposure.
Post-Quantum Cryptography
Developing standardized, quantum-resistant cryptography systems that will help mitigate the cybersecurity threats posed by quantum computers.
Securing AI Models & Algorithms
Developing solutions that help prevent adversarial attacks that attempt to deceive, alter, or corrupt how AI and ML algorithms interpret data.
Trusted Media
Working to restore trust in media by developing technologies that can detect deepfakes as well as trace and verify media provenance.
“Through innovative research in coherence techniques, we are collaborating on an approach to enhance object detection and to improve the ability for AI and ML to respond to adversarial attacks.”
Jason Martin
Principal Engineer, Security Solutions Lab
Security Research Centers
Private AI Collaborative Research Institute
Launched in collaboration with Avast* and Borsetta*, the Private AI Collaborative Research Institute advances and develops technologies in privacy and trust for decentralized AI.
Crypto Frontiers Research Center
This collaborative multi-university center brings together world-renowned researchers to create cryptography technologies for the next generation of computing and beyond.
Resilient Architectures and Robust Electronics (RARE)
RARE is a multi-university research center that develops new capabilities for assessing and improving the resiliency, reliability, and security of Intel® hardware and software.