The industry's first dynamic WAF with DOM-based attack detection and session-level intelligence, powered by AI and OLAP multidimensional analysis.
Traffic-Prism is not just another WAF - it's a revolutionary approach to web security that protects your applications from threats that traditional WAFs can't detect.
While conventional WAFs make binary allow/block decisions based on request patterns, Traffic-Prism intelligently analyzes entire user sessions and DOM-level interactions to identify sophisticated attack patterns.
Our unique AI + OLAP technology analyzes user sessions in real-time, identifying suspicious patterns and correlating activities across requests to detect coordinated attacks.
Take immediate action when threats are detected with our flexible response system that offers multiple intervention options based on risk level.
Gain unprecedented visibility into your web application security with our PowerBI-based analytics that transform security data into actionable intelligence.
The first WAF solution designed specifically to detect and prevent client-side attacks that execute within the browser.
Modern web applications are increasingly dynamic, with significant functionality executing in the client browser. This creates new attack vectors that traditional server-side WAFs cannot detect.
Identify malicious scripts executed due to insecure DOM manipulations before they can compromise user data or system integrity.
Detect clickjacking, overlay attacks, and other visual manipulations designed to trick users into interacting with hidden elements.
Monitor and protect against unauthorized modifications to form actions and data submission endpoints that could redirect sensitive information.
Gain a holistic view of user sessions to identify complex attack patterns that span multiple requests.
Traffic-Prism maintains context across all requests within a session, allowing it to detect patterns and anomalies that would be invisible when analyzing individual requests in isolation.
Detect unusual navigation patterns, suspicious timing between actions, or abnormal interaction sequences that may indicate automated attacks.
Build comprehensive profiles of session characteristics including browser fingerprints, IP geography, and interaction patterns to identify suspicious changes.
Distinguish between legitimate bots (search engines, monitoring tools) and malicious bots attempting to scrape content, brute force logins, or probe for vulnerabilities.
The powerful combination of AI and OLAP provides unmatched security capabilities.
Our sophisticated AI models analyze session behavior to identify zero-day attacks and novel threat patterns that rule-based systems would miss.
Lightning-fast multi-dimensional analysis processes terabytes of historical pattern data in sub-second timeframes for real-time protection.
Our proprietary Bayesian model combines multiple risk indicators to calculate accurate threat probabilities and make intelligent response decisions.
See how Traffic-Prism stacks up against traditional WAF solutions.
Feature | Traditional WAFs | Traffic-Prism |
---|---|---|
DOM-Based Attack Detection | No client-side protection | Real-time DOM monitoring |
Session Context | Individual request analysis only | Full session context and correlation |
Bot Detection | Basic signature-based detection | Behavioral analysis and fingerprinting |
Zero-Day Attacks | Rule updates required | AI detection of novel patterns |
Response Options | Binary allow/block | Graduated response (CAPTCHA, challenges, termination) |
Analytics | Basic security logs | Comprehensive PowerBI dashboards |
Integration Flexibility | Typically standalone | Works with existing WAFs and ModSecurity |
Real-world examples of how Traffic-Prism is protecting businesses.
Challenge: Protecting exclusive designs from automated scraping and theft by competitors.
Solution: Implemented Traffic-Prism with custom bot detection rules and geographic filtering to identify and block suspicious scraping activities.
Results: 95% reduction in suspicious access patterns and complete elimination of structured data harvesting, securing valuable intellectual property.
Challenge: Protecting customer financial data from sophisticated account takeover attempts and credential stuffing attacks.
Solution: Deployed Traffic-Prism with session scoring, rule-based termination, and geographic controls to identify high-risk sessions.
Results: Blocked over 10,000 high-risk sessions monthly, prevented multiple attack campaigns, and enhanced overall security posture.
Join organizations worldwide that trust Bayesian Cybersecurity to protect their digital assets.
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