TrendAI Vision One Features

Allows administrative control over network components, mapping, and segmentation.

Allows visual display of networks segmented components and their connected resources.

Utilizes behavioral analysis to improve security procedures and documentation.

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.

Allows administrative control over automated security tasks.

Protects application access and data. Prompts additional authentication for suspicious users.

Protects computing resources across a network. Prompts additional authentication for suspicious users.

Protects informatin stored on premises and in the cloud. Prompts additional authentication for suspicious users.

Provides a risk-based approcach to determining trust within the network.

Calculates risk based on user behavior, permissions, and requests.

Monitors users attempting unauthorized access to databases, applicaitons, and othe network components.

Produces reports detailing trends and vulnerabilities related to their network and infrastructur

Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.

Indexes metadata descriptions for easier searching and enhanced insight

Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Integrates additional security tools to automate security and incident response processes.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly

Provides monitoring capabilities for multiple networks at once.

Detect new assets as they enter a network and add them to asset inventory.

Constantly monitors activity related to user behavior and compares activity to benchmarked patterns

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Facilitates the proactive search for emerging threats as they target servers, endpoints, and networks.

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.

Constantly monitors system to detect anomalies in real time.

Identifying, analyzing, and mitigating security issues and taking appropriate action to protect systems and data from potential harm

Allows for customized support for hybrid environments

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.

Provides all-encompassing display and analysis of environments, resources, traffic, and activity across networks.

Application programming interface that allows for integration with other systems/databases

Stores information related to common threats and how to resolve them once incidents occur.

Facilitates Artificial Intelligence (AI) such as Machine Learning (ML) to enable data ingestion, performance suggestions, and traffic analysis.

Collects information from multiple sources to cross reference and build contextual to correlate intelligence.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Uses AI-driven models to analyze historical and current data to enable organizations to manage new exposures proactively.

Uses AI algorithms to analyze data for patterns and anomalies that signify potential risks.

Identifies, evaluates, and monitors various types of risks to understand the overall risk exposure and prioritize them based on potential impact.

Includes tools for deep analysis of risk data, providing insights into trends and patterns that support strategic risk assessment and decision-making.

Ensures seamless interaction with other systems and unification of risk data, enabling a comprehensive view and efficient management of risk exposure.

Allows for continuous surveillance of risk factors, providing timely alerts to mitigate emerging risks effectively.

Simplifies user authentication across multiple services while maintaining security.

Ensures that users are verified through multiple credentials before access is granted, reducing the risk of compromised accounts.

Grants access based on the user’s role within the organization, adhering to the principle of least privilege.

Integrates with external identity providers to manage user identities across different platforms and services.

Mandatory encryption of data both at rest and in transit protects against unauthorized access.

Continuous monitoring and real-time response capabilities with EDR help detect and mitigate threats on endpoint devices.

Verifies the security status of a device before granting access to network resources, ensuring that only compliant devices can connect.

Divides the network into isolated segments to prevent lateral movement by attackers, ensuring that if one segment is compromised, others remain secure.

Replaces traditional VPNs by enforcing granular, context-aware access to applications based on user identity, device, and other factors.

Detect and prevent unauthorized access or transfer of sensitive data.

Data classification automatically categorizes data based on its sensitivity, allowing for appropriate security measures to be applied

API support ensures that the zero trust platform can integrate seamlessly with other security tools and existing infrastructure

Provides the ability to enforce security policies at the application layer, ensuring that access to specific applications is tightly controlled.

ensures that only authorized users can access critical applications, protecting against unauthorized entry points

UEBA identifies unusual behavior that may indicate a security threat, enabling proactive threat managemen

Provides real-time visibility into all network traffic, user activities, and data flows to detect anomalies

allows for automatic application of security policies based on predefined criteria, reducing the risk of human error and ensuring consistent enforcement

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)

This works across different environments, including on-premises, cloud, and hybrid setups, ensuring comprehensive security coverage

This ensures that security policies are consistently applied across all users, devices, and application

Detailed reports that provide insights into security events help organizations maintain compliance and optimize their security posture

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Offers managed network detection and response services.

Offers managed detection and response services.

Offers managed detection and response services.

Offers managed detection and response services.

Provides specific capability to defend AI assets from adversarial attacks (including prompt injection, data poisoning, model inversion or extraction) without requiring retraining of the underlying model.

Enables automatic inspection of model inputs (prompts) and/or outputs (responses) to prevent unsafe, sensitive or manipulated content.

Monitors the integrity of model weights, dependencies or metadata (for example via SBOM/AIBOM) to detect tampering, drift or unauthorised modification.

Verifies the ability to enforce who or what (users, agents, systems) may access a model or LLM asset.

Detects unusual or harmful runtime behaviour of AI models, agents or workflows (such as unexpected output patterns, excessive permissions use, or unknown agents).

Provides a persistent, searchable audit log of AI‑asset inputs, outputs and interactions (including who/what invoked the model, when, and with what data) for forensics and compliance.

Ensures that the AI‑security platform supports scaling of AI‑asset protection (models, agents, multi‑cloud deployments) and applies governance/compliance frameworks as AI usage grows.

Enables integration of the AI‑security solution with traditional security stacks (SIEM, SOAR, cloud security, application security, identity/access management) to unify visibility and response.

Offers visibility into unmanaged or unauthorized AI/agent use (“shadow AI”) across the organisation and enforces control over such usage (e.g., agent creation, LLM‑based services).

Supports codified, machine‑enforceable security policies targeting AI models/agents (for example, blocking certain categories of prompts, enforcing least‑privilege for model use, enforcing “no external data” rules).

Access software remotely via mobile devices

Managing inventories and tracking changes to hardware and software configurations

View and track pertinent metrics to find patterns and gain insights from data

Import and export data to and from software applications

Convert data into a code for security

Identify and orchestrate execution of actions needed to restore systems to optimal conditions

Identify and analyse the reasons behind accidents

Create labels for products that contain required information such as colors, sizes, dates, etc.

Create, design and manage workflows for repetitive tasks

Manage and track all disruptions and incidents

Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks

Track and analyse user behavior within a system or network

Protects systems from ransomware attacks and mitigates attack risks

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Protect sensitive data for digital privacy

Verify the identity of users/devices to enable secure access

Monitor and control network/web traffic based on predetermined rules, protecting against unauthorized access and threats

Provides a channel for team members to share media files, communicate, and work together

Protect users working remotely and provide secure environments for personal devices to access company programs

Identify and respond to security threats to cloud applications

Set up connections to third-party platforms to improve business processes

Define levels of authorization for access to specific files or systems

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Analyze survey results via statistical testing or crosstabs directly within the software

Process of identifying, evaluating, mitigating, addressing and reporting on potential risks or uncertainties

Use AI to generate content in the form of text, images, videos, etc.

Scanning networks to identify security threats

Detect (and block) vulnerabilities and threats in your applications based on vulnerability information

Search and filter data across systems to locate required information by entering keywords or certain criteria

Use AI to generate content in the form of text, images, videos, etc.

Investigate security threats and validate malicious activity

Arrange tasks based on the level of priority or urgency

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Control system access and/or deliverability for applications and email addresses

Identify and orchestrate execution of actions needed to restore systems to optimal conditions

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Track and analyse user behavior within a system or network

Conduct tracking and assessment of application and device behavior without breaks or interruptions

Identify and analyse the reasons behind accidents

Track status, assign actions, and control access to systems for devices within the organization

Automatically identify and flag unusual behaviors and malicious software