Brinqa Features

Based on 10 Brinqa reviews. Identifies and scores potential network security risks, vulnerabilities, and compliance impacts of attacks and breaches.

Creates reports outlining log activity and relevant metrics. 10 reviewers of Brinqa have provided feedback on this feature.

Allows for vulnerability ranking by customized risk and threat priorities. This feature was mentioned in 10 Brinqa reviews.

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.

As reported in 10 Brinqa reviews. Identify risk data attributes such as description, category, owner, or hierarchy.

Based on 10 Brinqa reviews. 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.

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.