TrendAI Vision One Features

Network Management (4)

Network Segmentation: Allows administrative control over network components, mapping, and segmentation.
Network Mapping: Allows visual display of networks segmented components and their connected resources.
Security Analytics: Utilizes behavioral analysis to improve security procedures and documentation.
API/Integrations: Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc. with other software applications.

Security Automation: Allows administrative control over automated security tasks.
Application Security: Protects application access and data. Prompts additional authentication for suspicious users.
Workload Protection: Protects computing resources across a network. Prompts additional authentication for suspicious users.
Data Protection: Protects informatin stored on premises and in the cloud. Prompts additional authentication for suspicious users.

Incident Reporting: Produces reports detailing trends and vulnerabilities related to their network and infrastructur
Network Visibility: Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.
Metadata Enrichment: Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.
Metadata Management: Indexes metadata descriptions for easier searching and enhanced insight

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.

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.

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.

Single sign-on (SSO): Simplifies user authentication across multiple services while maintaining security.
Multi-factor authentication (MFA): Ensures that users are verified through multiple credentials before access is granted, reducing the risk of compromised accounts.
Role-based access control (RBAC): Grants access based on the user’s role within the organization, adhering to the principle of least privilege.
Identity federation: Integrates with external identity providers to manage user identities across different platforms and services.

Encryption: Mandatory encryption of data both at rest and in transit protects against unauthorized access.
Endpoint detection and response (EDR): Continuous monitoring and real-time response capabilities with EDR help detect and mitigate threats on endpoint devices.
Device posture assessment: Verifies the security status of a device before granting access to network resources, ensuring that only compliant devices can connect.
Micro-segmentation: Divides the network into isolated segments to prevent lateral movement by attackers, ensuring that if one segment is compromised, others remain secure.
Zero trust network access (ZTNA): Replaces traditional VPNs by enforcing granular, context-aware access to applications based on user identity, device, and other factors.

API support: API support ensures that the zero trust platform can integrate seamlessly with other security tools and existing infrastructure
Application-level controls: Provides the ability to enforce security policies at the application layer, ensuring that access to specific applications is tightly controlled.
Secure application access: ensures that only authorized users can access critical applications, protecting against unauthorized entry points
User and entity behavior analytics (UEBA): UEBA identifies unusual behavior that may indicate a security threat, enabling proactive threat managemen
Continuous monitoring: Provides real-time visibility into all network traffic, user activities, and data flows to detect anomalies

Policy automation: allows for automatic application of security policies based on predefined criteria, reducing the risk of human error and ensuring consistent enforcement
Regulatory compliance: Regulatory compliance assists organizations in adhering to industry-specific regulations, such as the General Data Protection Regulation (GDPR), the Health Insurance Portability and Accountability Act (HIPAA), or the California Consumer Privacy Act (CCPA)
Cross-platform compatibility: This works across different environments, including on-premises, cloud, and hybrid setups, ensuring comprehensive security coverage
Policy enforcement: This ensures that security policies are consistently applied across all users, devices, and application
Comprehensive reporting: Detailed reports that provide insights into security events help organizations maintain compliance and optimize their security posture