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TCPWAVE

Guarding the web: TCPWave's dual detective approach with signature and AI-powered WAFs.

A Web Application Firewall (WAF) isn't just another line of defense; it's a specialized shield, meticulously designed to guard web applications from a vast array of cyber threats. In today's digital age, where vulnerabilities like cross-site scripting (XSS) and SQL injection are rampant, the role of a WAF becomes paramount. By positioning itself between the web server and the vast expanse of the internet, a WAF doesn't just monitor; it scrutinizes every byte of incoming web traffic. Its prime objective? To discern, detect, and decisively block any request that smells of malice.

Enhanced User Experience

Enhanced User Experience

  • By minimizing false positives, we ensure that genuine users aren't mistakenly flagged or blocked ensuring smooth user experience.
Proactive Threat Management

Proactive Threat Management

  • Our WAF doesn't just react to known threats; our machine-learning capability enables it to predict and counter new, emerging cyber threats.
In-depth Insights and Transparency

In-depth Insights and Transparency

  • Understanding the threat landscape, attempted breaches, and the WAF's responsive actions can guide future security strategies and decisions.
Customizable Defense

Customizable Defense

  • With the ability to tailor rules, append or modify signatures, and even train the model in future iterations, organizations can align the WAF to their specific needs ensuring network security.
Signature-Based WAF
Signature-Based WAF

Signature-based WAFs act like seasoned detectives, scanning incoming requests against a book of known attack signatures. Each request is a potential match, and when recognized, it's promptly blocked or filtered. Although these WAFs excel at identifying known threats, their limitation lies in needing regular updates to detect emerging dangers.

Anomaly-Based WAF (Machine Learning WAF)

The Anomaly-Based WAF, powered by machine learning, is the new detective that understands 'normal' web behavior. Instead of playing catch-up like traditional WAFs, it preemptively detects threats using a vast training dataset. This innovative approach not only identifies anomalies but also minimizes false positives, ensuring legitimate users sail through unhindered.

Anomaly-Based WAF (Machine Learning WAF)
WAF Template Anomaly Rules Tab
WAF Template Anomaly Rules Tab

Within the vast realm of cyber threats, certain malicious activities stand out due to their frequency or severity. Our AI-Model is pre-trained to recognize these high-priority threats. While these rules are activated by default in the WAF, we understand that one size doesn't fit all. Hence, users are given the autonomy to tailor these rules, deselecting or selecting as per their unique requirements. And while the current offering presents a fixed set of default rules, our commitment to adaptability means future iterations will allow users to add custom rules and train the model accordingly.

WAF Template Signature Rules Tab

The digital landscape is riddled with threats, but some are more notorious than others. The top 20 OWASP rules capture these infamous threats. Our WAF comes pre-loaded with these rules, ensuring immediate protection against widely recognized vulnerabilities. However, we also champion flexibility. Users have the liberty to append their own signatures or remove the ones they've added. It's worth noting that while user-defined signatures can be modified, the core default signatures are immutable, ensuring a foundational layer of protection at all times.

WAF Template Signature Rules Tab
Accessing WAF Logs
Accessing WAF Logs

Knowledge is power, and our WAF ensures you're never in the dark. By navigating through the "Infrastructure Management" to "TCPWave SLB Statistics," users can access detailed WAF logs. These logs aren't just raw data; they're insights-providing a clear picture of the threat landscape, attempted breaches, and the WAF's response actions.

Blocking Malicious Requests

In the vast sea of web requests, malicious requests are the sharks-dangerous and often camouflaged. Our WAF's primary mission is to spot these sharks and ensure they're kept at bay. Whenever the WAF identifies malicious content in an incoming request, it doesn't hesitate. The request is promptly denied, ensuring the sanctity and safety of your web application.

Blocking Malicious Requests

In a world where cyber threats evolve at breakneck speed, TCPWave's hybrid Web Application Firewall stands as a beacon of comprehensive protection. By harmoniously blending the precision of signature-based detection with the foresight of machine learning, we're not just offering a security solution; we're promising peace of mind. Whether it's well-documented threats or emerging zero-day exploits, our WAF is your web application's steadfast guardian, ever-ready to defend and protect. Experience the TCPWave advantage and redefine your network management capabilities.