Hunto AI Features

Lets users group and organize their endpoints to gather threat intelligence on specific technologies.

Reduces the need for IT and security professionals to iterate repetitive tasks associated with gathering threat information.

The process in which users integrate their existing security systems and endpoints to the threat intelligence platform.

A feature that allows security testing and information gathering to occur in a secure, resource independent environment.

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

Prior to security incidents, the product will alert users when a new, relevant vulnerability or threat is discovered.

Provides multiple techniques and information sources to alert users of malware occurrences.

The ability for users to produce reports outlining detailed and personalized threat information

Information to prevent, understand and identify cyber threats

Receive notification of issues as soon as they occur

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

The product has a recurring examination process to update your intelligence reports as new threats emerge.

The ability to examine your application, website, or database's code to uncover zero-day vulnerabilities.

Investigate security threats and validate malicious activity

Identify and respond to security threats to web applications

Identify and respond to security threats to developed applications

The abillity to automate assessment or have assesments scheduled and delivered continuously.

Sends users phishing emails, voicemails, messages through SMS, Slack, Teams, etc. to test user's threat-identification abilities.

Assess current state of user security training, prior to training, which can be used to track performance and improvement.

Initiate collection and analysis of known risks

Provides users with a pre-built library of useable security-related informational content.

Engages users through content in the form of interactive applications, games, and modules.

Contains gamification tools, including but not limited to badges, leaderboards, and point scoring.

Calculates risk based on user behavior, baselines, and improvements.

Customizable solution so administers can adjust content to industry, position, etc.

Allows users to implement their own branding throughout the platform.

Provides analytics tools that reveal important business metrics and track progress.

Uses generative AI to create training scenarios, deepfake simulations, or tailored modules.

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

Allow the audience to interact or engage with the content

Monitors select keywords on the deep web, which are non-indexed parts of the internet not available on the surface web.

Monitors select keywords on the dark areas of the web, which are only accessible via Tor and I2P, such as illicit marketplaces and dark forums.

Provides context around identified information, including historical threat data, threat location data from geotags or inferred data, threat actors names, relationships, URLs, and other relevant information to conduct further investigations.

Integrates into ticketing or CRM platforms via API integrations.

Search through real-time and historical data without using technical query language.

Provides additional context and analysis to help identify the source of leaked information.

Offers a centralized dashboard to monitor, collect, process, alert, analyse and search through data flagged by the software.

Enables real-time alerts and reporting through push notifications in a mobile app, email, or sms alerts.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

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

Monitors data quality and sends alerts based on violations or misuse.

Aggregates real-time updates and historical data from multiplate internal and external data sources to support ongoing proactive threat response.

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Active monitoring of systems, applications, or networks

Detects new assets as they enter cloud environments and networks to add to asset inventory.

Identifies unsanctioned software.

Provides tools to track and implement required security policy changes.

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

Allows for vulnerability ranking by customized risk and threat priorities.

Gathers information about the system and potential exploits to be tested.

Uses machine learning to identify at-risk data.

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

Condenses long documents or text into a brief summary.

Condenses long documents or text into a brief summary.

Use AI to propose possible threat actor tactics, techniques, and procedures against specific environments or assets.

Use AI to automatically create detection rules based on observed patterns.

Use AI to produce concise summaries of complex threat reports or alerts.

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

Incorporates real-time data from various sources to identify potential threats and vulnerabilities.

Creates a digital footprint of an organization's ecosystem to identify exposed digital assets.

Identifies and mitigates fraudulent websites, phishing attacks, and other social engineering attacks targeting employees and customers.

Detects sensitive data published on the dark web and other paste sites.

Protects against illegal online sales and counterfeiting.

Analyzes an organization’s online presence to identify instances of brand impersonation.

Outlines clear takedown processes for threats.

Implements automated responses to certain types of incidents.

Provides resources for a coordinated and efficient response to security incidents, facilitating investigation, containment, and recovery efforts.

Offers analytics features to provide insights into digital risk trends and the effectiveness of mitigation strategies

Generates reports that assess the overall digital risk posture of an organization. Reports may include an analysis of the identified threats and vulnerabilities.

Offers dashboards that can be customized based on the key performance indicators of an organization.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

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.

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.

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 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).

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).

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

Creation, administration, and evaluation of assessments or tests

Organize and track educational activities

Automated or logic-based workflows that assist in the creation of electronic documents

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

Assembly of graphs and charts for visualizing and tracking statistics/metrics

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

Track employee/learner's progression through training programs

Controlled, realistic exercises that mimic real cyber threats to test an organization/user's security measures and preparedness.

Graphical representation of data

Analyze potential risks across the organization

Reporting on how each user, task or process has advanced since its initiation

Information to prevent, understand and identify cyber threats

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

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

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

Gauge satisfaction and receive information for improvement and success

Alter the layout and content of reports

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

Students are encouraged to interact with technology-enabled study materials during the course of learning

Edit and personalize data view as needed

Establish measurable goals and objectives and track their progress over a specific period of time

Identifying your own learning needs, setting goals, finding the necessary resources, and evaluating your own knowledge

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

Active reporting of data and metrics

Analyze and gain insights into data in real-time

Tracks and makes accessible data on the health of servers and other network components.

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

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

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

Track and analyze user behavior within a system or network

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

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

Scanning of users & devices to ensure there are no potential threats

Process of backing up of files and applications to cloud-based remote servers for protection of data

Graphical representation of data

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

Scanning networks to identify security threats

A chronological record of actions or occurrences within a network, software, or process

Observe and track the demand, usage, progress or quality of a system, product, or user

Continuously scan servers on a designated network to monitor health and search for any irregularities or failures

Discover patch statuses and vulnerabilities

Report and update incidents related to health or workplace injuries that occur on a job or en route to a job site

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

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Set up and configure network resources to make them accessible for authorized users, devices and servers

Arrange tasks based on the level of priority or urgency

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

Receive data and information in real time

Tracking KPIs over a certain period to assess helpdesk issues, ticket status & resolution, costs and revenue stats, assets usage & more

Software program that continuously adjusts its behavior based on observed data

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

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

Create visual maps of threat propagation and lateral movement

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

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

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

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

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

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

Identify and dismiss non-threats through intelligent pattern recognition

Provide human-readable reasoning trails and decision justifications

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