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Description
Utilizing public cloud services can make workloads vulnerable to unique cloud-native threats that are distinct from those encountered in on-premise settings. To effectively identify and mitigate harmful actions within a cloud infrastructure, Radware offers an extensive suite of Cloud Threat Detection and Response (CTDR) functionalities. This enables organizations to recognize suspicious activities within their cloud environments while also correlating these incidents into cohesive attack narratives, effectively illustrating the sequential development of threats. By presenting this information, Radware empowers organizations to intervene and prevent incidents from escalating into significant data breaches. The platform leverages specialized Malicious Behavior Indicators (MBIs) that are specifically designed to address the unique dangers associated with cloud environments. Additionally, Radware’s capabilities extend beyond mere detection, as it systematically connects individual occurrences over time and across various threat surfaces and resources, forming a comprehensive view of potential attacks. This holistic approach not only helps in recognizing patterns but also enhances an organization's readiness to address emerging threats promptly.
Description
Three out of four businesses face the threat of computer breaches or hacking incidents. Despite this alarming statistic, a staggering 90% of these organizations rely on critical security solutions that fail to identify such malicious intrusions. Advanced Persistent Threats (APTs), harmful behaviors, viruses, and crypto lockers are capable of bypassing existing security protocols, with no current method able to effectively recognize these threats. Nevertheless, these cyber attacks leave behind traces that signify their occurrence. The challenge lies in identifying these harmful indicators amidst vast data sets, a task that current security tools struggle to accomplish. Reveelium addresses this issue by correlating and aggregating various logs from an organization's information system, enabling the detection of ongoing attacks or harmful activities. As a vital asset in the battle against cyber threats, Reveelium's SIEM can function independently or be enhanced with tools like Ikare, Reveelium UEBA, or ITrust’s Acsia EDR, creating a comprehensive next-generation Security Operations Center (SOC). Furthermore, organizations can have their practices evaluated by an external party to gain an impartial assessment of their security posture, ensuring a more robust defense against cyber threats. This holistic approach not only strengthens security measures but also provides valuable insights for ongoing improvement.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Radware
Country
United States
Website
www.radware.com/solutions/cloud-threat-detection-response/
Vendor Details
Company Name
ITrust.fr
Founded
2007
Country
France
Website
www.itrust.fr/en/reveelium-siem/
Product Features
Cloud Security
Antivirus
Application Security
Behavioral Analytics
Encryption
Endpoint Management
Incident Management
Intrusion Detection System
Threat Intelligence
Two-Factor Authentication
Vulnerability Management
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Cybersecurity
AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
