CloudSEK 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.

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

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.

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.

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