However, it should be taken into account
Posted: Wed Feb 12, 2025 8:43 am
As soon as WAF detects a high level of abnormal activity of any application component, it switches this component to protected mode and organizes access to it in accordance with the profile compiled on WAF. If the access request differs from the compiled profile, WAF blocks the request. As a result, WAF is able to automatically and transparently, without administrator intervention, protect web resources from signature-bypassing and zero-day attacks.
that AL creates a problem of false positives, since many anomalies in application behavior and usage can be associated with previously unobserved variants of safe traffic.
False positives require administrator intervention. Security specialists must review all blocked traffic messages to determine which of them are truly malicious. To avoid repeating false positives, each profile kenya whatsapp data be examined before switching it to block mode. This is a serious burden on security personnel, which also requires high qualifications. It distracts security specialists from building proactive protection, from working on business-critical initiatives, such as supporting digital transformation projects, which increases the time to market for new developments.
It should be noted that many WAF solutions are difficult to integrate with other information security components. This makes it difficult to exchange threat data in real time, which is essential for staying ahead of cybercriminals.
Security professionals need an alternative that uses artificial intelligence (AI) and machine learning to prevent and detect threats, and that integrates well with the enterprise information security system to share real-time threat information across all security components.
How to choose WAF
First of all, you need to focus on the functionality of the WAF. The set of basic WAF capabilities includes antivirus, protection from malware, a mechanism for searching for malware signatures, checking the reputation of IT resources, protocol control, as well as behavioral analysis of applications built on AI and machine learning to detect the most complex threats (including those using zero-day vulnerabilities) with a mechanism that reduces the number of false positives.
that AL creates a problem of false positives, since many anomalies in application behavior and usage can be associated with previously unobserved variants of safe traffic.
False positives require administrator intervention. Security specialists must review all blocked traffic messages to determine which of them are truly malicious. To avoid repeating false positives, each profile kenya whatsapp data be examined before switching it to block mode. This is a serious burden on security personnel, which also requires high qualifications. It distracts security specialists from building proactive protection, from working on business-critical initiatives, such as supporting digital transformation projects, which increases the time to market for new developments.
It should be noted that many WAF solutions are difficult to integrate with other information security components. This makes it difficult to exchange threat data in real time, which is essential for staying ahead of cybercriminals.
Security professionals need an alternative that uses artificial intelligence (AI) and machine learning to prevent and detect threats, and that integrates well with the enterprise information security system to share real-time threat information across all security components.
How to choose WAF
First of all, you need to focus on the functionality of the WAF. The set of basic WAF capabilities includes antivirus, protection from malware, a mechanism for searching for malware signatures, checking the reputation of IT resources, protocol control, as well as behavioral analysis of applications built on AI and machine learning to detect the most complex threats (including those using zero-day vulnerabilities) with a mechanism that reduces the number of false positives.