PingIntelligence for APIs: Deployment Guide Updated 36 11,567 people found this helpful Add to MyDocs | Hide Show Table of Contents Table of Contents Expand | Collapse PingIntelligence product deployment Part A – Install ASE Part B – Install ABS and MongoDB Part C – Integrate ASE and ABS Part D – Install PingIntelligence for APIs Dashboard Part E – Access ABS reporting PingIntelligence product deployment PingIntelligence for APIs software combines real-time security and AI analytics to detect, report, and block cyberattacks on data and applications exposed via APIs. The software consists of two platforms: API Security Enforcer and API Behavioral Security Artificial Intelligence engine. API Security Enforcer (ASE) Applies real-time inline inspection of API traffic to detect and block attacks. ASE works with the ABS engine to identify attacks. API Behavioral Security (ABS) Executes AI algorithms to detect in near real-time cyberattacks targeting data, applications, and systems via APIs. Attack information can be automatically pushed to all ASEs to block ongoing breaches and prevent reconnection. PingIntelligence for APIs Dashboard PingIntelligence for APIs Dashboard utilizes Elasticsearch and Kibana to provide a graphical view of an API environment including traffic metrics, attack types and blocked connections. The PingIntelligence for APIs Dashboard makes periodic REST API calls to an ABS engine which returns JSON reports that are used to generate graphs. Organizations can utilize the PingIntelligence for APIs Dashboard examples to develop direct integration into in-house graphical management systems.