Kitecyber Features

Administrators can access and organize data related to incidents to produce reports or make data more navigable.

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

Produces reports detailing trends and vulnerabilities related to bot management and performance.

Create, design and manage workflows for repetitive tasks

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

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

Identify component attributes like servers, hardware, software, and manage relationships across all services

Manage and store data in a database

Create, manage, and track policies and procedures within an organization

Track and manage adherence to policies for any service, product, process, or supplier

Manage and track all disruptions and incidents

Supports LDAP Protocol to enable access control and governance.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Similifies data identification to increase visibility and management capabilities

Define levels of authorization for access to specific files or systems

Protects data with within and as it leaves your secure or local network.

Analysis for users to examine threat intelligence data specific to their endpoint devices.

Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point.

Provides incident alerts for leaks or breaches and provides capabilities to inform administrators of attacks.

Active monitoring of systems, applications, or networks

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.

Creates custom reports and alerts about security updates, existing or upcoming software licenses, data access, and more.

Protects employee, company, and data from potential vulnerabilities or malware.

Remotely clears all data from compromised devices.

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.

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.

Manages numerous endpoint types, including mobile, desktop, IoT, and wearable.

Supports diverse operating systems across several endpoint types.

Registers employee-owned or company-distributed devices for IT access.

Configures devices to seamlessly work with business-required applications, WiFi, VPN, etc.

Ensures that employee devices are compliant with business regulations and requirements.

Offers visibility into employee device activity.

Separates personal data on devices from business-specific data.

Decrypts and inspects encrypted web traffic to detect and block threats hidden within encrypted connections.

Analyzes web content to filter out malicious code, malware, and inappropriate material.

Blocks access to known malicious or unauthorized websites based on predefined policies.

Inspects and analyzes inbound and outbound web traffic in real-time for threats and compliance.

Blocks ads and trackers to enhance user privacy and reduce exposure to potential threats.

Monitors outgoing web traffic to prevent sensitive data from being leaked or exfiltrated.

Detects and blocks phishing attempts to protect users from fraudulent websites and email links.

Uses signature-based scanning, heuristic analysis, and sandboxing to detect and block malware threats.

Monitors and controls access to cloud applications and services to prevent unauthorized use and data leakage.

Regulates access to web-based applications and services as per organizational policies.

Verifies users' identities and enforces access control policies to ensure only authorized users can access permitted web resources.

Supports the creation of policies based on user roles, groups, or other attributes for more granular control.

Allows organizations to create and enforce custom web usage policies tailored to their specific needs.

Prioritizes and allocates network resources based on predefined policies to optimize performance.

Integrates with other security tools and systems, such as firewalls, SIEMs, and endpoint security solutions.

Provides comprehensive reports and logs of web activity, including sites visited, user activity, security events, and policy violations.

Leverages threat intelligence feeds to stay updated on the latest threats and enhance protection.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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).

Prevent unauthorized access to personally identifiable information

Discover and connect variety of data sources to the application for analysis

Track visitors'/audience's responses across web pages and other optimized content

Remotely delete data from devices without needing physical access

Analyze potential risks across the organization

Prevent malicious actions by individuals connected to the organization, such as current and past employees, contractors, or associates

Prevents, detects and removes malware

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

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

Add a digital mark to show ownership of an image, video, document, etc.

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

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

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

Protects systems from ransomware attacks and mitigates attack risks

Request two or more credentials to prove user's identity before granting access to systems

Data is backed up automatically to prevent data loss

Support multiple types of devices

Track and report regulatory data to either internal management or external stakeholders

Analyze and gain insights into data in real-time

Securely stores data to prevent data loss or breaches

Ability to restore deleted, hidden, or lost data from an email server/system

Track and document all activities across devices, networks, and other systems

Restrict data transfer to and from external storage systems such as USB and disk drives

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

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

Isolate suspicious files to prevent harm to computer systems

Plan and implement business continuity measures in case of unforeseen events

The process of discovering content on the web that is same or similar to logos, trademarks or other proprietary content

System alerts about the need to escalate an issue or request

Initiate collection and analysis of known risks

Identify sensitive or personal information collected from users

Notifications that are delivered to users as soon as an event occurs

Notifying as a warning or reminder of a potential or imminent hazard

Grouping log entries based on similar attributes.

Process of copying and storing data in more than one site or node

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

Move files across different systems or networks

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

Creating, updating, monitoring accuracy, and ensuring brand consistency for all materials distributed to mobile devices.

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

Control system behavior and appearance, and access and report on system status/health from a distant location

Manage the processes involved when making the application ready for use

Create, manage, and track policies and procedures within an organization

Install software updates and bug fixes remotely

Convert data into a code for security

Track and manage adherence to policies for any service, product, process, or supplier

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

Identify component attributes like servers, hardware, software, and manage relationships across all services

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

Allow customers/users to submit support queries and service requests

Manage and secure access to business data and applications on personal devices.

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

Control, secure and enforce policies on mobile devices such as smartphones, tablets etc.

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

Download applications that can be internally saved

Define levels of authorization for access to specific files or systems

Streamlining repetitive tasks and activities through automated and predefined workflows