Security Through Education
FEBRUARY 20, 2024
In the ever-evolving landscape of cybersecurity, social engineering has undergone significant transformations over the years, propelled by advancements in technology. From traditional methods to the integration of artificial intelligence (AI), malicious actors continually adapt and leverage emerging tools to exploit vulnerabilities.
Tech Republic Security
OCTOBER 11, 2023
F5 says an artificial intelligence war could start between generative AI-toting bad actors and enterprises guarding data with AI. Australian IT teams will be caught in the crossfire.
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Cisco Security
AUGUST 18, 2022
As Artificial Intelligence (AI) becomes more prominent in vendor offerings, there is an increasing need to identify, manage, and mitigate the unique risks that AI-based technologies may bring. Lightweight Controls implemented within Cisco’s Secure Development Lifecycle compliance framework, including unique AI requirements.
The Last Watchdog
AUGUST 29, 2023
Here’s what you should know about the risks, what aviation is doing to address those risks, and how to overcome them. It is difficult to deny that cyberthreats are a risk to planes. Risks delineated Still, there have been many other incidents since. Fortunately, there are ways to address the risks.
Schneier on Security
OCTOBER 9, 2023
There is no shortage of researchers and industry titans willing to warn us about the potential destructive power of artificial intelligence. Reading the headlines, one would hope that the rapid gains in AI technology have also brought forth a unifying realization of the risks—and the steps we need to take to mitigate them.
LRQA Nettitude Labs
JULY 5, 2023
There are currently conflicting or uncoordinated requirements from regulators which creates unnecessary burdens and that regulatory gaps may leave risks unmitigated, harming public trust and slowing AI adoption. Current Regulations Initial investigation shows the challenges that organisations will face in regulating the use of AI.
Schneier on Security
APRIL 27, 2023
Stanford and Georgetown have a new report on the security risks of AI—particularly adversarial machine learning—based on a workshop they held on the topic. Many AI products are deployed without institutions fully understanding the security risks they pose.
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