AI-Powered Web Application Firewall
AI-WAF stands for Artificial Intelligence Web Application Firewall. It is a security solution designed to protect web applications from various cyber threats, including malicious attacks, vulnerabilities, and data breaches. Unlike traditional firewalls that focus on network-level protection, AI-WAF specifically targets web applications and provides a more granular and specialized level of defense.
AI-WAF leverages advanced machine learning algorithms and artificial intelligence techniques to analyze incoming web traffic, identify potential threats, and take proactive measures to mitigate them. It operates at the application layer of the network stack, allowing it to inspect and analyze the content and behavior of web requests and responses in real-time.
AI-WAF provides an intelligent and proactive defense mechanism for web applications, safeguarding them against a wide range of cyber threats. By leveraging artificial intelligence and machine learning, it offers an enhanced level of protection and adaptability in an ever-evolving security landscape.
WAF Benefits
Adding AI brings several benefits within a Web application firewall (WAF)
Enhanced Threat Detection
CYBERDEFENSE.AI's algorithms can analyze large amounts of data in real-time to identify and respond to threats. It allows our WAF to detect and mitigate attacks before they cause damage.
Improved Accuracy
CYBERDEFENSE.AI analyzes and learns from patterns in data to improve accuracy and reduce false positives. This can reduce the burden on security teams and improve the overall effectiveness of the Web application firewall.
Adaptive Learning
CYBERDEFENSE.AI's algorithms adapt and learn from new attack patterns, allowing IT to improve the ability to detect and respond to threats continually. It brings more defensive capabilities for the most popular Web platforms protected by our solutions.
Faster Response Times
AI enables CYBERDEFENSE.AI to automate the response to threats, allowing for faster response times and reducing the risk of impact. Threat actors are automatically redirected to cached responses to minimize the unwanted load coming from attacks.
Application Profiling
Within CYBERDEFENSE.AI, application profiling is used to tailor the experience of protected applications, allowing for a more tailored and effective WAF solution. This is even more effective with open-source and popular applications. It reduces the number of false positives and provides a much better security insight regarding log analytics.
Behavioral Analysis
Based on pattern recognition, the CYBERDEFENSE.AI algorithm provides a real-time prediction of the behavior of somebody visiting a Web application, which helps to prevent bad or unwanted behavior. Combined with the IPS included in the ecosystem, the IPS keeps track of active visitors and their fingerprints to prevent and predict intrusion.
Frequently Asked Questions
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- Is the WAF multi-cloud?
- Yes the technology is 100% cloud based and can be moved to any cloud.
- Is the WAF offered on-premise?
- Yes, it can be deployed on-premise for clients with custom requirements using CYBERDEFENSE.AI's hosting platform or their own on an Enterprise plan.
- Is the WAF compatible with Kubernetes clusters?
- Yes, it integrates directly with any cloud deployment using Kubernetes. The WAF was originally designed to run as an ingress-controller for Kubernetes.
- Is the WAF data sovereign?
- All the data generated from the WAF is stored locally within the zone that it's hosted at and supports worldwide data sovereignty.
- Does the WAF support FIPS 140-2/140-3 compliance?
- Yes, the technology can be configured to use FIPS 140-2/140-3 compliant cryptographic modules to meet regulatory requirements, depending on the SLA plan selected.