UnderDefense MAXI Features

Offers managed detection and response services.

Identify and dismiss non-threats through intelligent pattern recognition

Diagnose and resolve incidents without the need for human interaction.

Guide users through the resolution process and give specific instructions to remedy individual occurrences.

Cuts off network connection or temporarily inactivate applications until incidents are remedied.

Gathers information related to threats in order to gain further information on remedies.

Analyzes incidents, correlates related events, and determines the scope and impact of attacks.

Execute predefined or adaptive responses (isolate endpoints, revoke credentials)

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

Detect and link suspicious activities across systems in real time.

Identify and dismiss non‑threats through intelligent pattern recognition.

Reduce noise by automatically evaluating and prioritizing alerts based on risk and context.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

Create visual maps of threat propagation and lateral movement

Offers managed detection and response services.

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

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

Ability to track incidents, tasks, evidence, and investigation progress within a structured case.

Administrators can organize workflows to guide remedies to specific situations incident types.

Ability to automatically neutralize or eliminate active vulnerabilities.

Ability to automatically investigate networks and endpoints for threats.

Utilizes AI agents for detection and response tasks.

Allow SOC teams to query agents via natural language about ongoing cases

Investigate alerts end‑to‑end, gathering evidence and building incident timelines.

Enrich cases with data from SIEM, EDR, cloud, identity, and threat‑intel feeds.

Create visual maps of threat propagation and lateral movement through networks.

Provides 24/7 support to customers with technical questions.

Proactively sends reports or alerts to customers.

Lets users detect and block applications that are not a security threat.

Proactively hunts threats.

Provides rapid reponse time to cyber threats.

Provides the ability to customize reports.

Offers MDR as a service.

Use pre-defined security protocols to conduct investigations tailored to different threat types

Allow SOC teams to query agents via natural language about ongoing cases.

Improve agent performance through adaptive learning from security team corrections.

Provide human‑readable reasoning trails and decision justifications.

Track and report on everything that happens within the system or network

A set of indicators that tracks the performance of networks, applications, systems, teams, etc.

Provide human-readable reasoning trails and decision justifications

Information on each incident is stored in databases for user reference and analytics.

Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

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

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

Security protocol that ensures secure, encrypted communication over the internet, safeguarding sensitive data from unauthorized access

Compliant with HIPAA, which sets standards for sensitive patient data protection

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

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

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

Schedule predetermined or ad hoc maintenance services and labor requests

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

Systematic evaluation of the security of a company's overall security system and situation

Identify and respond to security threats to developed applications

Convert data into a code for security

Prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources

Active reporting of data and metrics

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

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

Verify the identity of users/devices to enable secure access

Prevents, detects and removes malware

Securely stores data to prevent data loss or breaches

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

Extend virtual private network over public networks to enable protected information exchange

A record of all activities within the system, including user access, changes made, etc.

Techniques to prevent and filter unwanted or unsolicited email spam from reaching a user's inbox

Define levels of authorization for access to specific files or systems

Graphical representation of data

System alerts about the need to escalate an issue or request

Protect sensitive data for digital privacy

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.

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

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

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

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

Track and lower MTTD/MTTR/MTTC through autonomous reactions.

Adapt remediation actions without requiring static SOAR playbooks.

Execute predefined or adaptive responses (e.g., isolate endpoints, revoke credentials).

Prevent and monitor unauthorized access, misuse, modification, or denial of a computer network and network-accessible resources

Software program that continuously adjusts its behavior based on observed data

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