CTM360 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.

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

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.

Dashboard of registered domains.

Status of DMARC compliance across domains.

Additional reporting on account activity, history, and performance.

Settings for establishing and modifying DMARC enforcement within domains.

Notifications for compliance issues or potential fraudulent email activity.

DMARC alignment on inbound emails.

DMARC alignment on outbound emails.

Timely identification of fraudlent emails.

Blocking fraudlent emails from reaching destination.

Eliminating or deleting fraudulent emails and containing threats.

Integrations with security tools related to threat identification and removal.

Monitors for and rids systems of bots suspected of committing fraud.

Constantly monitors system to detect anomalies in real time.

Alerts administrators when fraud is suspected or transactions have been declined.

Stores data from external or internal sources related to fake accounts, evaluating users for risk.

Actively gathers data on suspicious purchasing sources and characteristics of common committers of fraud.

Produces reports detailing trends and vulnerabilities related to payments and fraud.

Tags users suspected of committing fraud and identifies them upon return.

Rates each transaction's risk based on specific factors and their benchmarked scores.

Prevents previous committers of fraud from future transactions.

Provide a database or authorized and unauthorized resellers

Monitor online product and pricing information

Identify pricing or brand policy violations

Ability to warn resellers about violations

Provide plans to enforce pricing and brand policies

Track the effectiveness of enforcement activities

Allows companies to assess vendors profiles in a centralized catalog

Offers standardized security and privacy framework questionnaire templates

Offers role based access controls to allow only permissioned users to utilize various parts of the software.

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.

Offers built-in or automated vendor risk scoring

Offers tools to assess fourth parties -- your vendor's vendors

Monitors changes in risk and sends notifications, alerts, and reminders for specific actions including: upcoming assessments, profile access requests, etc

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.

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.

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.

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.

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.

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.

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

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives