Evolve Security Features

Application Programming Interface Specification for how the application communicates with other software. APIs typically enable integration of data, logic, objects, etc. with other software applications.

Provides the ability to extend the platform to include additional features and functionalities

Tools to visualize and analyze data.

Track issues and manage resolutions.

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

Scans applications and networks for known vulnerabilities, holes and exploits.

Allows users to access a terminal host system and input command sequences.

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

Runs pre-scripted security tests without requiring manual work.

Software is consistently available (uptime) and allows users to complete tasks quickly because they are not waiting for the software to respond to an action they took.

Track issues as vulnerabilities are discovered. Documents activity throughout the resolution process.

The rate at which scans accurately detect all vulnerabilities associated with the target.

The rate at which scans falsely indicate detection of a vulnerability when no vulnerabilitiy legitimately exists.

Runs pre-scripted vulnerability scans without requiring manual work.

Allows users to scan applications and networks for specific compliance requirements.

Analyzes network devices, servers and operating systems for vulnerabilities.

Monitors configuration rule sets and policy enforcement measures and document changes to maintain compliance.

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

Scans application source code for security flaws without executing it.

Scans functional applications externally for vulnerabilities like SQL injection or XSS.

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.

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

Anticipates needs and offers suggestions without prompting