anti attack technology

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Published By: CrowdStrike     Published Date: Aug 01, 2017
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology —what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution,it dramatically increases your ability to detect attacks that use unknown malware. Download this white paper to learn:?How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware?Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML ?How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-generation AV
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CrowdStrike
Published By: CrowdStrike     Published Date: Apr 10, 2017
All ML technology isn’t created equal. Learn how the CrowdStrike® ML-based Engine Defends Against Unknown Malware. While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? A new white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution, it dramatically increases your ability to detect attacks that use unknown malware.
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CrowdStrike
Published By: CrowdStrike     Published Date: Nov 28, 2018
While many organizations are guarding the front door with yesterday’s signature-based antivirus (AV) solutions, today’s unknown malware walks out the back door with all their data. What’s the answer? This white paper, “The Rise of Machine Learning in Cybersecurity,” explains machine learning (ML) technology — what it is, how it works and why it offers better protection against the sophisticated attacks that bypass standard security measures. You’ll also learn about CrowdStrike’s exclusive ML technology and how, as part of the Falcon platform’s next-gen AV solution, it dramatically increases your ability to detect attacks that use unknown malware. Download this white paper to learn: • How different types of ML are applied in various industries and why it’s such an effective tool against unknown malware • Why ML technologies differ and what factors can increase the accuracy and effectiveness of ML • How CrowdStrike’s ML-based technology works as part of the Falcon platform’s next-gene
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CrowdStrike
Published By: F5 Networks Inc     Published Date: Oct 31, 2013
Distributed denial-of-service attacks may be organized by type into a taxonomy that includes network attacks (layers 3 and 4), session attacks (layers 5 and 6), application attacks (layer 7), and business logic attacks. Each type may be matched with the best F5 technology for mitigating that attack. This paper explains how taken together, the F5 BIG-IP portfolio of products provides effective anti-attack technology for each layer of the taxonomy and can also defend against specific attack tools, network reconnaissance, and low-bandwidth asymmetric attacks.
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distributed denial of service, ddos, mitigation, f5 technology, taxonomy, network attacks, session attacks, application attacks
    
F5 Networks Inc
Published By: Darktrace     Published Date: Jun 21, 2019
Cyber-attacks targeting technology and telecommunications firms represent the most significant threat to their sensitive customer data and invaluable intellectual property. When successful, such attacks cost these firms dearly, not only in terms of immediate loss of revenue but also in the form of subsequent reputational damage. Technology firms that provide digital services or house vast quantities of user information are particularly at risk, as demonstrated in the Uber breach that exposed the personal information of more than 25 million users. Regulations around personal data, such as GDPR, increasingly require technology firms to adopt a robust cyber defense strategy that can detect cyber-threats at an early stage. Cyber-attacks aimed at technology firms with lucrative IP have also become a fact of life in the Information Age. Often perpetrated by nation-state actors with advanced capabilities, these attacks are now remarkably subtle and stealthy, with some of the latest examples b
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Darktrace
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