Cynet Features

Response (4)

Resolution Automation: Diagnose and resolve incidents without the need for human interaction.
Resolution Guidance: Guide users through the resolution process and give specific instructions to remedy individual occurrences.
System Isolation: Cuts off network connection or temporarily inactivate applications until incidents are remedied.
Threat Intelligence: Gathers information related to threats in order to gain further information on remedies.

Records (3)

Incident Logs: Information on each incident is stored in databases for user reference and analytics.
Incident Reports: Produces reports detailing trends and vulnerabilities related to their network and infrastructure.
Resource Usage: Analyzes recurring incidents and remedies to ensure optimal resource usage.

Management (6)

Incident Alerts: Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Database Management: Adminstrators can access and organize data related to incidents to produce reports or make data more navigable.
Workflow Management: Administrators can organize workflows to guide remedies to specific situations incident types.
Extensibility: Allows for customized support for hybrid environments
Workflow Automation: Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.
Unified Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Network Management (3)

Activity Monitoring: Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.
Asset Management: Keeps records of each network asset and its activity. Discovers new assets accessing the network.
Log Management: Provides security information and stores the data in a secure repository for reference.

Incident Management (6)

Event Management: Alerts users of incidents and allows users to intervene manually or triggers an automated response.
Automated Response: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Incident Reporting: Documents cases of abnormal activity and compromised systems.
Forensics: Forensic tools are used to investigate and examine IT systems after security incidents or for security-related preventive maintenance.
Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Security Intelligence (4)

Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Vulnerability Assessment: Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.
Advanced Analytics: Allows users to customize analytics with granulized metrics that are pertinent to your specific resources.
Data Examination: Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents.

Administration (4)

Compliance: Monitors assets and enforces security policies to audit assets and infrastructure security.
Application Control: Blocks endpoint users from accessing restricted applications.
Asset Management: Keeps records of each network asset and its activity. Discovers new assets accessing the network.
Device Control: Manages user network accessibility on laptops and mobile devices.

Functionality (4)

System Isolation: Cuts off network connection or temporarily inactivate applications until incidents are remedied.
Firewall: Protects endpoint devices from a variety of attacks and malware threats.
Endpoint Intelligence: Analysis for users to examine threat intelligence data specific to their endpoint devices.
Malware Detection: Provides multiple techniques and information sources to alert users of malware occurrences.

Analysis (7)

Automated Remediation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Incident Reports: Produces reports detailing trends and vulnerabilities related to their network and infrastructure.
Behavioral Analysis: Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns and fraud indicators.
Continuous Analysis: Constantly monitors traffic and activity. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.
Behavioral Analysis: Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns and fraud indicators.
Data Context: Provide insights into why trends are occurring and what issues could be related.
Activity Logging: Monitors, records, and logs both real-time and post-event activity.

Detection (3)

Anomaly Detection: Constantly monitors activity related to user behavior and compares activity to benchmarked patterns.
Incident Alerts: Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.
Activity Monitoring: Monitors the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

Detection & Response (4)

Response Automation: Reduces time spent remedying issues manually. Resolves common network security incidents quickly.
Threat Hunting: Facilitates the proactive search for emerging threats as they target servers, endpoints, and networks.
Rule-Based Detection: Allows administrators to set rules specified to detect issues related to issues such as sensitive data misuse, system misconfiguration, lateral movement, and/or non-compliance.
Real-Time Detection: Constantly monitors system to detect anomalies in real time.

Analytics (3)

Threat Intelligence: Stores information related to common threats and how to resolve them once incidents occur.
Artificial Intelligence & Machine Learning: Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Data Collection: Collects information from multiple sources to cross reference and build contextual to correlate intelligence.

Monitoring (3)

Automatic Misconfiguration Discovery: Continuously monitors misconfigurations in SaaS applications environment
User Permission Monitoring: Monitors user permissions settings and flags excessive permissions
Compliance Risk Monitoring: Detects and fixes compliance issues with regard to different security frameworks

Security (4)

Sensitive Data Discovery: Discovers where sensitive data resides in SaaS environments and identifies users with access to it
Data Movement Monitoring: Monitors how sensitive data moves across different applications
Automatic Remediation: Automatically determines the best set of actions to be taken upon detecting SaaS security issues.
Dashboard: Offers dashboards that show information about unauthorized users, potential threats, and remediation actions

Platform Features (7)

24/7 support: Provides 24/7 support to customers with technical questions.
Proactive report alerts: Proactively sends reports or alerts to customers.
Application control: Lets users detect and block applications that are not a security threat.
Proactive threat hunting: Proactively hunts threats.
Rapid response time: Provides rapid reponse time to cyber threats.
Customizeable reports: Provides the ability to customize reports.
Managed Services: Offers MDR as a service.

Automation Capabilities (3)

Generative AI (4)

AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text Summarization: Condenses long documents or text into a brief summary.
AI Text Generation: Allows users to generate text based on a text prompt.
AI Text Summarization: Condenses long documents or text into a brief summary.