Security, privacy, and cryptography
Career Opportunity
Principal Researcher – Sociotechnical Systems – Microsoft Research
Microsoft Research (MSR) New England is looking for a new full-time, Principal Researcher who brings sociotechnical perspectives to analyze critical issues of our time. You will join the Sociotechnical Systems area, a team of social…
Career Opportunity
Principal Security Engineer
Microsoft Research is building new tools to automate the search for unknown malicious software. We are the growing, evolving team behind Microsoft’s Project Ire, Acquire Volatile Memory for Linux (AVML), OneFuzz, Project Freta, and other…
Video
Publicly-verifiable elections
Microsoft’s free, open-source ElectionGuard tools enable voters to verify their votes were accurately counted without compromising privacy or trusting election equipment or personnel. New research eliminates the need for cryptographic keys, making the process far…
Career Opportunity
Senior Research Software Engineer – Security & Cryptography
The Security Research Group at Microsoft Research Redmond is pushing the boundary of what is possible with the fascinating primitive of zero-knowledge (ZK) proofs. You’ll work alongside experts who are shaping the future of secure…
Career Opportunity
Senior Research Software Engineer – Security & Cryptography
The Security Research Group at Microsoft Research Redmond is pushing the boundary of what is possible with the fascinating primitive of zero-knowledge (ZK) proofs. You’ll work alongside experts who are shaping the future of secure…
Career Opportunity
Senior Researcher – Zero Knowledge Proof – Microsoft Research
The Security Research Group at Microsoft Research Redmond is pushing the boundary of what is possible with the fascinating primitive of zero-knowledge (ZK) proofs. You’ll work alongside experts who are shaping the future of secure…
Microsoft Research Blog
Reducing Privacy leaks in AI: Two approaches to contextual integrity
New research explores two ways to give AI agents stronger privacy safeguards grounded in contextual integrity. One adds lightweight, inference-time checks; the other builds contextual awareness directly into models through reasoning and RL.
