Why Choose Comodo Over Crowdstrike

Comodo’s Advanced Endpoint Protection (AEP) is a game-changing, validated approach that offers the world’s only active breach protection that renders ransomware, malware and cyber-attacks useless.

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Comodo Dragon Enterprise Versus Crowdstrike
  Comodo
Dragon Enterprise
CrowdStrike
EPP Capabilities
Signature-based anti-malware protection
Machine learning/algorithmic file analysis on the endpoint
Machine learning for process activity analysis
Process isolation
Memory protection and exploit prevention
Protection Against Undetected Malware
Application whitelisting
Local endpoint sandboxing/endpoint emulation
Script, PE, or fileless malware protection
Integration with on-premises network/cloud sandbox
Real-time IoC search capabilities
Retention period for full access to data No Limit 1 month
Endpoint Firewall
FW Learning Mode
Automatically creates network traffic rules
URL Filtering
Host Based IPS
USB device Control
Full Device Control (Device Control based on Device Class product ID, Vendor ID and Device Name)
Agent self-protection/remediation or alerting when there is an attempt to disable, bypass, or uninstall it
Ransomware protection
Protect/block ransomware when "Offline" or "Disconnected" from the internet?
VDI support
Manage, and maintain, an application control database of known "trusted" applications?
Multi-tenant cloud based service
EPP management console available as an on-premises virtual or physical server/application
Consolidated EPP management console to report on, manage, and alert for Windows macOS clients and mobile
Data loss prevention
Mobile Device Management
Mobile threat Defense
Vulnerability and patch management Vulnerability Management Only
Network/Cloud sandboxing Cloud Sandbox
Security Orchestration, Analysis and Response (SOAR) Integration
Network discovery tool
Remote Access
Remote scripting capabilities
Default Deny & Containment
Default Deny Security with Default Allow Usability
Run unknown files with Auto Containment 100% Protection
Create Virtual environment for any unknowns
Virtualize file system, registry, COM on real endpoints
EDR
Telemetry (observables)
Interprocess Memory Access
Windows/WinEvent Hook
Device Driver Installations
File Access/Modification/Deletion
Registry Access/Modification/Deletion
Network Connection
URL Monitoring
DNS Monitoring
Process Creation
thread Creation
Inter-Process Communication (Named Pipes, etc) up to this
Telemetry data itself can be extended in real time
Event chaining and enrichment on the endpoints
Detection/Hunting/Reporting    
Adaptive Event Modelling

Behavioral analysis (e.g. analysis over active memory, OS activity, user behavior, process/application behavior, etc.)

Static analysis of files using capabilities such as machine learning (not including signature based malware detection)

Time-series analysis
Integration with automated malware analysis solutions (sandboxing)
threat Hunting interface or API for searching with YARA/REGEX/ElasticSearch/IOC Yes without Yara IOC and Regex only
Support for matching against private IOC
threat Intelligence integration (TIP, upload, webservice connector, etc) to enrich and contextualize alerts
Linking telemetry (observable data) to recreate a sequence of events to aid investigation
Process/attack visualization
Incident Response Platform (IRP) or orchestration integration?
Vulnerability reporting (ex. reporting on unpatched CVEs)
Alert prioritization based on confidence, able to define thresholds for alerting.
Alert prioritization factors system criticality
Able to monitor risk exposure across environment organized by logical asset groups
Reporting interface identifies frequent alerts that may be appropriate for automating response
Response    
Remote scripting capabilities
Quarantine and removal of files
Kill processes remotely
File retrieval
Network isolation
Filesystem snapshotting
Memory snapshotting
MDR
Managed endpoints    
Manage customer endpoints and policies
Incident Investigation & Response
Preemptive containment
Application profiling (AI support)
Customizable policy creation
Central monitoring of all endpoints
Live remote inspection
Tuning of monitoring rules for reduction of false positives
Forensic analysis
Managed network    
Cloud-based SIEM and Big Data Analytics
Log data collection/correlation
Threat intelligence integration
Network profiling (AI support)
Available as virtual or physical
Integrated file analysis (cloud sandbox)
Full packet capture
Protocol analyzers for 40+ different protocols such as TCP, UDP, DNS, DHCP, HTTP, HTTPS, NTLM, etc. w/full decoding capability
Managed cloud    
Includes ready-to-use cloud application connectors for:    
Azure
Google Cloud Platform
Office 365
AWS
Threat detection for cloud applications
Log collection from cloud environments
Generating actionable incident response from cloud application    
Threat intelligence and Verdict    
InHolistic security approach Combined network, endpoint, cloud
Internal security sensor logs (IOCs)
Expert Human Analysis
ML & Behavioral Analysis and Verdict
Open source threat intelligence feeds
Information sharing with industry
Clean web (phishing sites, keyloggers, spam)
Deep web (C&C servers, TOR browsers, database platform archives—pastebins)
Cyber Adversary Characterization
Security operations center (SOC)    
Global, real-time support (24 / 7 /365)
Dedicated cybersecurity expert
Breach (case) management
Security monitoring
Incident analysis
Incident response (handling)
Extensive threat hunting (scenario-based)
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