Aggregate findings by machine and package

This use case highlights how aggregation and normalization turn fragmented tool output into a single, trusted remediation view. Multiple security tools identify vulnerabilities tied to the same kernel package on the same machine. Rather than treating these as separate issues, Seemplicity recognizes the shared package and resource, aggregating them into a single finding.

This shifts remediation from comparison to execution. Teams no longer need to interpret how different tools describe the same problem. They see one issue, grounded in normalized data, that reflects the true scope of exposure.

What you’ll learn

Master the art of turning findings into finished fixes.

Discover how to operationalize remediation by removing the “reporting drag” caused by disparate tools. You will learn how to leverage agentic automation to prioritize findings based on business risk, automate ticket creation, and maintain a continuous, audit-ready view of your security posture.

Key Features

Smart Aggregation

Automatically unify exposures from multiple scanners into a single task with a common fix, slashing your backlog by up to 98% instantly.

Unified Context

View normalized data from 6 to 10 different tools in one spot, removing the manual work of stitching together technical context.

AI Clarity Agent

Convert raw scanner outputs into clear narratives that make technical issues understandable for both security fixers and business owners.

Find the Fixer

Use built-in intelligence to identify the right owner immediately, ensuring tasks land in Jira or ServiceNow without manual routing.

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