Application Security

AI threat detection uses machine learning, behavioral analytics, and automation to identify and neutralize cyber threats in real-time by analyzing data patterns rather than relying on static signatures. It enhances security by detecting anomalies, such as unusual user behavior or malware.

API analytics is the practice of collecting, measuring, and analyzing data generated by API interactions. This process involves tracking metrics such as request volume, response times, error rates, and endpoint usage.

An API attack can result in mass data losses, stolen private information and service disruption

API business logic refers to the core set of rules, calculations, and workflows that define how an application processes data and makes decisions in response to an API request. While the API acts as a gateway or "facade," the business logic is the "engine" that determines what happens under the hood

API Discovery is the process of finding and creating an inventory of the APIs and API endpoints in your environment, as well as understanding what are allowed values types, ranges etc., and who is allowed to access this API.

API discovery tools automatically identify, catalog, and classify APIs within an organization's network to eliminate security blind spots like "shadow" or "zombie" APIs. These tools are essential for maintaining a real-time inventory of endpoints and ensuring compliance with data regulations.

API documentation is a technical guide, often using Swagger or OpenAPI Specification, that explains how to use and integrate with an API. It includes endpoints, methods, authentication, parameters, and example responses, crucial for enabling developers to understand functionality.