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161–170 of 201 articles
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ZDNet Security
Google reveals how Android Private Compute Core can use your device's most sensitive data to improve machine-learning models in the cloud without actually sharing your private data.
Dark Reading
Cloud native application protection platforms can apply machine learning algorithms on cloud data to identify accounts with abnormal permissions and uncover potential threats.
The Register
Russian data trackers … what could possible go wrong? US government agencies including the Army and Centers for Disease Control and Prevention pulled apps running Pushwoosh code after learning the software company – which presents itself as American – is actually Russian, according to Reuters.…
Krebs on Secuity
For whatever reason, the majority of the phony LinkedIn profiles reviewed by this author have involved young women with profile photos that appear to be generated by artificial intelligence (AI) tools. We’re seeing rapid advances in AI-based synthetic image generation technology and we’ve created a deep learning model to better catch profiles made with this technology. AI-based image generators can create an unlimited number of unique, high-quality profile photos that do not correspond to real people. Fake accounts sometimes use these convincing, AI-generated profile photos to make their fake LinkedIn profile appear more authentic.
Dark Reading
The now-patched RCE flaw in Cosmos DB's Jupyter Notebook feature highlights some of the weaknesses that can arise from emerging tech in the cloud-native and machine learning worlds.
The Register
A mixture of free online events and in-person conferences that put you at the heart of the cyber security industry Where do the world's cyber security professionals get an opportunity to mingle and swap tips with their global peers while engaging in interactive, hands-on learning exercises that will help them stop cyber criminals in their tracks?… Sponsored Post
Graham Cluley
Boffins at the University of Glasgow, in Scotland, have developed a system which they claim demonstrates a new type of cybersecurity threat: a "thermal attack." According to the researchers, the falling price of heat-detecting thermal imaging cameras and advances in machine learning have made it more feasible to guess what passwords a target may have entered on a keyboard, up to a minute after typing them. Read more in my article on the Hot for Security blog.
The Register
GCHQ spy boss talks up threat of east's tech dominance, says Putin has 'badly misjudged' Ukraine attack UK intelligence agency, GCHQ, boss Jeremy Fleming says China is "learning lessons" from the war in Ukraine and could make use of a centralized digital currency to partly get around the type of sanctions being imposed on Putin's Russia.…
Dark Reading
Researchers from SentinelLabs laid out what they know about the attackers and implored the researcher community for help in learning more about the shadowy group.
The Hacker News
As many as 350,000 open source projects are believed to be potentially vulnerable to exploitation as a result of a security flaw in a Python module that has remained unpatched for 15 years. The open source repositories span a number of industry verticals, such as software development, artificial intelligence/machine learning, web development, media, security, IT management. The shortcoming,