AI Discovery

AI-Powered Discovery of Applications, Devices, and Cloud Resources

Dynamically Map Your Tech Stack with AI Discovery

Discover configuration items and their relationships without compromising your security posture with AI Discovery. Eliminate inefficient and manual processes and security compromising network crawls while maintaining a healthy CMDB.

Discovery Without Compromise

External network crawls can leave you open to security breaches. Create an up-to-date service map without compromising your security posture with AI Discovery.

Identify Ephemeral Cloud Resources

In a modern, distributed tech stack, many issues are difficult to track because of transient cloud resources. AI Discovery tracks ephemeral entities and helps users effectively solve these issues.

Maintain a Healthy CMDB

AI Discovery ensures that your CMDB is always up to date, which allows you to build an accurate causal graph and triage issues effectively.

Automated AI Discovery

AI Discovery infers the topology of your tech stack by dynamically generating asset relationships based on ingested data. Readily integrate operations data across your tech stack while adapting to new applications through continuous and autonomous self-learning.

AIOps discovery configuration graph

Dynamic CMDB and Probabilistic Service Maps

AI Discovery leverages change requests, incident tickets, and alerts data to discover enterprise configuration items and reconstruct an accurate and healthy service topology. It can also leverage your existing CMDB to enhance the service map.

AIOps Dynamic CMDB and Probabilistic Service Maps

A Unified View of Configuration Items

Aisera builds the Configuration Items across Systems (compute, VM, Containers), Applications, Networks, Storage, and Business Services, allowing you to gain an end-to-end view of your entire tech stack.

Preserve your Security Posture

Traditional network crawlers leave you open to security vulnerabilities, and AI Discovery allows you to preserve your security by inferring probabilistic relationships between configuration items from your data.