Cyber criminals know that working from home can provide them with an easier way into corporate networks - resulting in a rise in attacks targeting remote devices.
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Fake collaboration apps are stealing data as staff struggle with home-working security
U.S. lawmakers aim to curtail face recognition even as the technology IDs Capitol attackers
U.S. lawmakers are moving ahead with efforts to ban facial recognition software even as the technology helps identify supporters of President Donald Trump who ransacked their workplace and forced them to evacuate this month.
Cryptocurrency stealer for Windows, macOS, and Linux went undetected for a year
Custom malware disguaised as benign software was used to steal wallet addresses of cryptocurrenct holders for months.
Another Arrest, and Jail Time, Due to a Bad Facial Recognition Match
A New Jersey man was accused of shoplifting and trying to hit an officer with a car. He is the third known Black man to be wrongfully arrested based on face recognition
The Death and Life of an Admissions Algorithm
U of Texas at Austin has stopped using a machine-learning system to evaluate applicants for its Ph.D. in computer science. Critics say the system exacerbates existing inequality in the field.
FireEye, a Top Cybersecurity Firm, Says it was Hacked by a Nation-State
The Silicon Valley company said hackers — almost certainly Russian — made off with tools that could be used to mount new attacks around the world.
$3.5 billion cybersecurity giant FireEye says it was hacked by a 'nation with top-tier offensive capabilities,' and the attackers made off with its own hacking tools
Hackers aligned with a foreign nation-state successfully breached the systems of FireEye, the $3.5 billion Silicon Valley cybersecurity giant. The attackers stole its proprietary "red team" hacking tools, used to assess a client's security and vulnerabilities.
Critical Flaws in Millions of IoT Services May Never Get Fixed
New research from the IoT security firm Forescout highlights 33 flaws in an open source internet protocol bundles that potentially expose millions of embedded devices to attacks, and affected devices may be difficult or impossible to patch due to the longevity of these bundles.
We read the paper that forced Timnit Gebru out of Google. Here’s what it says.
Gebru, a widely respected leader in AI ethics research, is known for coauthoring a groundbreaking paper that showed facial recognition to be less accurate at identifying women and people of color, which means its use can end up discriminating against them.
Google Researcher Says She Was Fired Over Paper Highlighting Bias in A.I.
Timnit Gebru, one of the few Black women in her field, has voiced exasperation over the company's response to efforts to increase minority hiring.