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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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Profitable ransomware attacks
B2B Cyber ​​Security ShortNews

A study titled “Cybersecurity Fails Increase Costs and Ransomware Risks” shows a correlation between cybersecurity failures and increased vulnerability to cybersecurity incidents, including ransomware, among organizations around the world. The study, which compares how IT leaders approach cybersecurity to the reality of the attack landscape, found that organizations experienced a significant rise in ransomware, from an average of four attacks in five years in 2021 to four attacks in a year in 2022 Of those who fell victim to ransomware, 83% admitted…

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Report: IT leaders believe XDR is necessary
Report: IT leaders believe XDR is necessary

A new study underscores the uncertainty surrounding XDR definition, implementation and required resources. The ExtraHop report shows that 78 percent of the IT managers surveyed consider the topic of XDR to be necessary, despite irritation. ExtraHop has released the results of the study "To Achieve the Promise of XDR, Look Beyond the Endpoint" examining the adoption of Extended Detection and Response (XDR) in organizations. The global study highlights the successes, obstacles, challenges and hesitations of companies that have developed or are considering an XDR strategy. Despite the uncertainty, nearly a third of...

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Save time resolving threats
Save time resolving threats

ExtraHop, the leading provider of cloud-based Network Detection and Response (NDR), today announced the results of the study "The Total Economic Impact Of ExtraHop Reveal(x) 360". The study, conducted by Forrester Consulting and commissioned by ExtraHop, shows that ExtraHop customers surveyed benefit from an 87 percent reduction in the time to remediation of threats. At the same time, they benefit from savings of more than $590.000 in threat detection and remediation in three years and a three-year return on investment (ROI) of 193%. According to the study, ExtraHop offers…

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Old protocols are cyber risks in the network
Benchmarking report on cyber risks in the network

An ExtraHop Cyber ​​Risk and Readiness Benchmarking report reveals the proliferation and risk of internet-exposed protocols on corporate networks. More than 60% of companies expose the remote control protocol SSH to the public Internet and 36% of companies use the insecure FTP protocol. ExtraHop, the leading provider of cloud-native network intelligence, today released the results of the ExtraHop Benchmarking Cyber ​​Risk and Readiness Report showing that a significant percentage of organizations are exposing insecure or highly sensitive protocols such as SMB, SSH and Telnet to the public Internet. Whether intentional or accidental, these vulnerabilities widen the attack surface of any organization...

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Cloud threat defense against advanced cyber attacks
Cloud threat defense against advanced cyber attacks

ExtraHop launches a new level of cloud threat prevention to identify and isolate advanced cyber attacks. Reveal(x) 360 for AWS now applies advanced AI to all network telemetry sources, providing continuous visibility into malicious activity without requiring development resources. ExtraHop, the leading provider of cloud-based Network Detection and Response (NDR), today announced that it has added threat intelligence for Amazon Web Services (AWS) to Reveal(x) 360. ExtraHop Reveal(x) 360 now offers advanced AI on top of layers of network telemetry to create a “threat heatmap” specifically designed to detect attacks like ransomware with associated…

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Network detection and response to secure cloud workloads
Network detection and response to secure cloud workloads

The importance of network data in securing cloud workloads. Network data offer unique insights and the necessary context to ensure transparency and close security gaps in the cloud via network detection and response. There are many ways to monitor and protect cloud workloads, including third-party agent-based solutions, cloud provider monitoring and logging services, cloud perimeter firewalls, and WAFs. As with everything in life, security technologies also have certain advantages and disadvantages, so that companies often use a variety of security solutions for cloud workloads, which depend on their regulatory environment, the desired security situation and their risk tolerance….

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