Cisco Introduces New Virtual Appliance with Al-powered Intelligence to Enhance Self-Hosted Observability

New AI-Driven Capabilities Automate Anomaly Detection, Accelerate Root Cause Analysis and Secure Business-Critical Applications

Cisco has announced a significant advancement in their AppDynamics On-Premises application observability offering. On Wednesday, the company introduced a new virtual appliance that leverages AI-powered intelligence to enhance self-hosted observability. This innovation is designed to automate anomaly detection, accelerate root cause analysis, and secure business-critical applications.

The latest Cisco innovations allow IT operations teams to detect application performance anomalies faster and with greater accuracy, protect against security vulnerabilities and attacks, and maintain the performance of SAP applications and business processes, all while retaining full control of their observability deployment.

Key features:

Automated Anomaly Detection: The AI-driven capabilities can automatically detect anomalies in application performance, which can significantly reduce the time required to identify and resolve issues.

Root Cause Analysis: It accelerates the process of finding the root causes of performance issues within applications.

Application Security: The new appliance can detect and protect against application vulnerabilities and attacks.

Business Risk Observability: It allows for the prioritization of the most significant software threats based on their potential impact on the business.

SAP Monitoring: Builds greater resiliency into on-premises SAP landscapes, ensuring service availability and addressing SAP security risks.

Additionally, Cisco introduced AppDynamics Flex, a new licensing model that gives customers the flexibility to choose between self-hosted and SaaS observability offerings and supports them through the transition when it's right for their business.

This development is particularly beneficial for industries such as public sector, finance, manufacturing, healthcare, and retail, where regulations for data residency and sensitive data protection are paramount, or in geographies without a local SaaS point-of-presence.

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