Check Point Exposure Management 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.

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.

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

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.

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

Identifies and scores potential network security risks, vulnerabilities, and compliance impacts of attacks and breaches.

Creates reports outlining log activity and relevant metrics.

Allows for vulnerability ranking by customized risk and threat priorities.

Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised.

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

Identify risk data attributes such as description, category, owner, or hierarchy.

Provides the ability to create custom reporting dashboards to further explore vulnerability and risk data.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Streamlines 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.

Allows users to perfrom hands-on live simulations and penetration tests.

Runs pre-scripted vulnerability scans and security tests without requiring manual work.

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.

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

Send alerts and notifications when corrective actions are needed to address supplier risk.

Perform ongoing due diligence activities to auto calculate overall risk for each vendor.

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.

Users can assign scores to suppliers based on the estimated risk of doing business with them.

Utilize artificial intelligence to analyze third party risks.

Provide workflows to mitigate risk and escalate issues proactively.

Consolidate data from multiple systems that manage supplier information.

Provide a 360 view of suppliers which can be shared with internal or external users.

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 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.

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.

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.

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

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives