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Microscopic mirrors for future quantum networks: A new way to make high-performance optical resonators

Researchers in the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and the Faculty of Arts and Sciences have devised a new way to make some of the smallest, smoothest mirrors ever created for controlling single particles of light, known as photons. These mirrors could play key roles in future quantum computers, quantum networks, integrated lasers, environmental sensing equipment, and more.

A team from the labs of Marko Lončar, the Tiantsai Lin Professor of Electrical Engineering at SEAS; Mikhail Lukin, the Joshua and Beth Friedman University Professor in the Department of Physics; and Kiyoul Yang, assistant professor of electrical engineering at SEAS; have described their new method for making high-performance, curved optical mirrors in a study published in Optica.

Using two such mirrors to trap light between them, the team demonstrated state-of-the-art optical resonators that can control light at near-infrared wavelengths, which is important for manipulating single atoms in quantum computing applications.

Hackers target Microsoft Entra accounts in device code vishing attacks

Threat actors are targeting technology, manufacturing, and financial organizations in campaigns that combine device code phishing and voice phishing (vishing) to abuse the OAuth 2.0 Device Authorization flow and compromise Microsoft Entra accounts.

Unlike previous attacks that utilized malicious OAuth applications to compromise accounts, these campaigns instead leverage legitimate Microsoft OAuth client IDs and the device authorization flow to trick victims into authenticating.

This provides attackers with valid authentication tokens that can be used to access the victim’s account without relying on regular phishing sites that steal passwords or intercept multi-factor authentication codes.

PromptSpy is the first known Android malware to use generative AI at runtime

Researchers have discovered the first known Android malware to use generative AI in its execution flow, using Google’s Gemini model to adapt its persistence across different devices.

In a report today, ESET researcher Lukas Stefanko explains how a new Android malware family named “PromptSpy” is abusing the Google Gemini AI model to help it achieve persistence on infected devices.

“In February 2026, we uncovered two versions of a previously unknown Android malware family,” explains ESET.

Google blocked over 1.75 million Play Store app submissions in 2025

Google says that through 2025, it blocked more than 255,000 Android apps from obtaining excessive access to sensitive user data and rejected over 1.75 million apps from being published on Google Play due to policy violations.

The tech giant’s annual review of Android and Google Play security reveals how effective the implemented protection measures were in maintaining an ecosystem with honest developers and compliant apps.

“We’re constantly improving our policies and protections to encourage safe, high-quality apps on Google Play and stop bad actors before they cause harm,” Google says.

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