Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The recognition of web attacks utilizes a combination of AI and predefined rules, ensuring robust anti-bypass capabilities and maintaining low rates of both false negatives and false positives. This system effectively protects against prevalent web threats, such as those listed in the OWASP top 10, which encompasses issues like SQL injection, unauthorized access, cross-site scripting, and cross-site request forgery, among others. Additionally, users have the option to store essential web content in the cloud, enabling the publication of cached web pages that serve as backups to mitigate the risks associated with web page alterations. The backend infrastructure is safeguarded through a comprehensive strategy that includes concealing servers and applications before an attack occurs, preventing attacks during ongoing incidents, and replacing or concealing sensitive data after an event. Furthermore, the Web Application Firewall (WAF) conducts extensive DNS verification across the nation for the domains provided by customers, allowing it to identify and report any hijacking attempts affecting the protected domain names in different areas, which is crucial for preventing data breaches and financial losses linked to user hijacking on websites. This multifaceted approach not only fortifies security but also enhances user trust in web services.
Description
The AI-driven WebShell detection engine excels at identifying both encrypted and concealed harmful scripts. CWP utilizes Tencent Cloud's comprehensive threat intelligence to monitor and identify hacker activities in real time. Its self-designed lightweight agents perform the majority of computing and protective tasks in the cloud, thereby minimizing the impact on server resources. Furthermore, the system supports rapid deployment and boasts excellent compatibility with popular operating systems. CWP automatically gathers statistics on assets such as servers, components, accounts, processes, and ports, facilitating centralized data management to keep asset risks in check. By employing machine learning techniques, CWP effectively identifies malicious files, including WebShell backdoors and binary trojans. Once detected, these files are subject to access controls and quarantined to prevent their further use. Additionally, the system's proactive approach to asset monitoring ensures an ongoing assessment of security status.
API Access
Has API
No
API Access
Has API
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Tencent
Founded
2013
Country
China
Website
intl.cloud.tencent.com/product/waf
Vendor Details
Company Name
Tencent
Founded
2013
Country
China
Website
intl.cloud.tencent.com/product/cwp
Product Features
Web Application Firewalls (WAF)
Access Control / Permissions
No
Alerts / Notifications
No
Automate and Orchestrate Security
No
Automated Attack Detection
No
DDoS Protection
No
Dashboard
No
IP Reputation Checking
No
Managed Rules
No
OWASP Protection
No
Reporting / Analytics
No
Secure App Delivery
No
Server Cloaking
No
Virtual Patching
No
Zero-Day Attack Prevention
No
Product Features
Cloud Workload Protection
Anomaly Detection
No
Asset Discovery
No
Cloud Gap Analysis
No
Cloud Registry
No
Data Loss Prevention (DLP)
No
Data Security
No
Governance
No
Logging & Reporting
No
Machine Learning
No
Security Audit
No
Workload Diversity
No