Gigamon Deep Observability App - JSON

Gigamon Deep Observability App is for customers who wants to use precanned dashboards. The search queries are written based on the JSON feed from Gigamon Cloud Suite This app has the below list of use cases: 1. Security Posture Use cases to detect and remediate flaws in securing the applications in the network. This gives visibility into weak cipher, untrusted certificates, signature algorithms 2. Anomalous Traffic Detect and remediate challenges with DNS, HTTP, and HTTPS traffic in the network 3. Troubleshooting Detect and remediate network delay, connectivity, and protocol errors in the network. For ex server vs network latency, TCP Ip connectivity issues, DNS issues. 4. Suspicious Activities Detect and remediate issues related to unmanaged devices, suspicious connections, and traffic outside norms in the network. For ex: IOT unmanaged devices, unwanted services and port misuse 5. Rogue Activities Detect and remediate unsanctioned applications that can pose challenges to your network and security. Ex: Unsanctioned p2p Apps, crypto jacking. 6. M-21-31 Logging U.S. Office of Management and Budget M-21-31 logging requirements. AMI metadata can be used for HTTPS,HTTP, DNS, Shadow IT, IOMT protocol activity and OT monitoring, to meet the logging requirements 7. PCI Compliance Helps organizations validate their PCI compliance posture with specialized dashboards. 8. Operational Technology (OT) - Gain visibility into OT applications, traffic volume, and OT sessions. - Verify if networks support fully air-gapped OT systems and detect the presence of non-OT or IT applications, which may indicate retrofitted systems due to IT/OT convergence. 9. AI Insights - Overview of AI application insights, highlighting the total number of AI flows along with key analytics such as top AI sources, destinations, and applications. - AI Traffic distribution, bandwidth, High volume helping identify which AI platforms and endpoints are most active in the monitored environment.