We're now halfway through 2022, and already we have seen a range of cyberattacks, familiar and unfamiliar, disrupting organizations. However, we have also seen uplifting stories of successful threat detection efforts, as well.
In this article, we will look at five novel, sophisticated, or creative threats that used techniques such as "living off the land" to evade detection by traditional defensive measures. These threats were all discovered by artificial intelligence (AI) technology, which can spot subtle deviations in device and user behavior and autonomously enforce "normal," stopping a threat in its tracks.
1. Leading Laboratory Interrupts Dark Web Insider Threat With AI
Cyberattacks against the healthcare sector hit record highs last year, and for these organizations cyber threats can have severe real-world consequences. One of Darktrace's healthcare clients is a company specializing in the research, development, and manufacturing of innovative in vitro diagnostic tests for disease, conditions, and infections.
In March, this company was targeted by a malicious insider threat. An employee was looking to exploit their access within the organization to sell proprietary intellectual property, perhaps even medical supplies, on the Dark Web. The employee was detected using Tor on a company device to connect to a Dark Web pharmaceutical market forum.
Malicious or compromised insiders can be difficult to identify because their privileged access and knowledge of company workings allow them to evade detection by traditional security tools. In order to protect intellectual property from insider threat, organizations need to augment security teams with AI-powered technology to stop malicious activity in real time.
In this case, given that no other company device had visited the Tor network in the past, Darktrace's AI flagged the activity to the security team, who were then able to investigate the employee and discover their malicious intentions.
Continue reading: https://www.darkreading.com/dr-tech/5-surprising-cyberattacks-ai-stopped-this-year
In this article, we will look at five novel, sophisticated, or creative threats that used techniques such as "living off the land" to evade detection by traditional defensive measures. These threats were all discovered by artificial intelligence (AI) technology, which can spot subtle deviations in device and user behavior and autonomously enforce "normal," stopping a threat in its tracks.
1. Leading Laboratory Interrupts Dark Web Insider Threat With AI
Cyberattacks against the healthcare sector hit record highs last year, and for these organizations cyber threats can have severe real-world consequences. One of Darktrace's healthcare clients is a company specializing in the research, development, and manufacturing of innovative in vitro diagnostic tests for disease, conditions, and infections.
In March, this company was targeted by a malicious insider threat. An employee was looking to exploit their access within the organization to sell proprietary intellectual property, perhaps even medical supplies, on the Dark Web. The employee was detected using Tor on a company device to connect to a Dark Web pharmaceutical market forum.
Malicious or compromised insiders can be difficult to identify because their privileged access and knowledge of company workings allow them to evade detection by traditional security tools. In order to protect intellectual property from insider threat, organizations need to augment security teams with AI-powered technology to stop malicious activity in real time.
In this case, given that no other company device had visited the Tor network in the past, Darktrace's AI flagged the activity to the security team, who were then able to investigate the employee and discover their malicious intentions.
Continue reading: https://www.darkreading.com/dr-tech/5-surprising-cyberattacks-ai-stopped-this-year
