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With AI-based NDR against ransomware
With AI-based NDR against ransomware

Ransomware threats are constantly increasing and evolving. AI-supported NDR (Network Detection and Response) systems can keep up better and therefore offer more protection. According to the Swiss security company Exeon Analytics, with the emergence of the Akira ransomware, large companies in particular and those tied to Kritis or NIS 2 are facing a new danger, as there is currently no decryptor for the current versions of the malware and the new group is mainly focuses on victims from whom it can extort large ransoms. According to Erismann, many SIEM systems (Security Information and Event Management) offer...

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Machine learning supports malware and botnet defense
Machine learning supports malware and botnet defense

ExtraHop's machine learning dataset helps detect and mitigate malware and botnet operations faster. The data set with 16 million rows will soon be available as open source. ExtraHop, a leader in cloud-native Network Detection and Response (NDR), today announced that it is open sourcing its massive 16 million-row data set - one of the most robust on the market - to support algorithmic mitigation generated domains (DGAs). This is intended to improve the level of competition for defense attorneys and help companies...

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With the help of AI: Increasing cyber attacks on companies
Increasing cyber attacks on companies using AI

While in the past certain industries were the preferred targets, hackers are now targeting any company potentially able to pay the ransom. In addition, with the help of generative AI systems such as ChatGPT, cybercriminals can carry out far more attacks in less time. Daniel Hofmann, CEO of Hornetsecurity, explains why generative AI models are becoming an attack turbo and what good protection should look like. The Cyber ​​Security Report 2023 shows that the most common attack method is still (spear) phishing. These social engineering attacks target humans as the greatest vulnerability…

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