LinkedIn rolls out new security features

by WarriorForum.com Administrator
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LinkedIn has revealed new features to combat fraud and spammers, such as new insights into when a profile was created, new tools to detect AI-generated profile photos, and warnings to assist safeguard users from scam communications.

To begin, LinkedIn is introducing a new 'About this profile' piece, which will give additional information about when a profile was established, when it was last updated, and other details.



The new 'About this profile' section, available via the three dots menu on any profile in the app, will provide information on when the profile was updated, as well as if the person has a registered email or phone number in the app, as shown in these photographs.

That might help you identify whether it's a genuine individual wishing to connect or a fraudster looking to steal your information, which has recently become a more prevalent concern.

Only a few months ago, MIT Technology Review released an article on the "millions" of bogus LinkedIn profiles that have been discovered in an attempt to trap unwary people into frauds.

"A scammer on LinkedIn may try to connect with someone through common work experience, a shared hometown, or the feeling of living in a foreign country. Over 60% of the victims who have reached out to GASO are Chinese immigrants or have Chinese ancestry, which these actors lean on to evoke nostalgia or a desire for companionship. The fake claims to have graduated from China's top universities, which are notoriously difficult to get into, also help scammers earn respect."
LinkedIn has also upgraded its machine learning and AI algorithms to better recognise submitted profile photographs generated by an AI image app.

"Our new deep-learning-based model proactively checks profile photo uploads to determine if the image is AI-generated using cutting-edge technology designed to detect subtle image artifacts associated with the AI-based synthetic image generation process without performing facial recognition or biometric analyses. This model helps increase the effectiveness of our automated anti-abuse defenses to help detect and remove fake accounts before they have a chance to reach our members."
This will become a more common issue as AI picture generators improve their ability to create convincing reproductions of real-world stuff.

They'll also becoming more difficult for systems to identify, which is why LinkedIn has to maintain its systems up to date on the newest improvements to assist eliminate false profiles before they try to engage.

Finally, LinkedIn is introducing new warning prompts on direct messages that include 'high-risk information that might compromise your security.'



As seen in the first screenshot, when the user attempts to link the discussion to another app, LinkedIn will now encourage the receiver to read its safety warnings, as connecting the conversation to another platform is a popular tactic used by fraudsters.

In the second, you can see how the message appears without the warning box, and LinkedIn will give a direct option to report the message if it is a problem.

Chime in.
#features #linkedin #rolls #security
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