Nightfall AI 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

Searches structured, semi-structured, and unstructured data for sensitive data.

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Offers false-positive management functions

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Monitors data stores in real-time searching for newly created sensitive data.

Offers a dashboard showing specific location of sensitive data.

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user

Collect and maintain structured information that describes data or content

Create, design and manage workflows for repetitive tasks

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

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

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

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).

Graphical representation of data

Interact with data visualization elements, such as charts and graphs, to drill down into data

Allows users to manage data from a number of sources

Identify sensitive or personal information collected from users

Import and export data to and from software applications

Review data from past periods to reveal recurring tendencies and predict future performance

Translate EDI formats into data suitable for use with company applications.

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

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

Public or private sharing of digital files such as documents, audio/video, images, and more

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

Alter the layout and content of reports

Creation and customization of dashboards

Form predictions based on past and present data/trends

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

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

Access, combine, transform, and store data without the help of an IT department

Connect to big data sources

Track the management and flow of data throughout the organization

Define levels of authorization for access to specific files or systems

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

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

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Assemble applications and processes by dragging over and arranging pre-built components

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

Share pre-configured sets of data organized and presented in a specific manner with the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

One-off queries made on an as-needed basis

Conceptual model of how data items relate to each other

Software program that continuously adjusts its behavior based on observed data

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