Aggregate SCA Findings by Resource and Package

Security teams often struggle to manage the sheer volume of Software Composition Analysis (SCA) findings, which can quickly become a remediation bottleneck. Manual triage, noisy data, and unclear ownership often slow the entire remediation process to a crawl, leaving critical exposures unresolved.

This demo shows how Seemplicity turns the overwhelming SCA backlog into clear, accountable tasks. You will see how our AI agents proactively analyze business risk and apply automation to the aggregation and prioritization of third-party library vulnerabilities, ensuring your developers receive the right tasks in the tools they already use.

What you’ll learn

Operationalize remediation at scale

Learn how to replace spreadsheets and manual coordination with intelligent, automated workflows that keep fixes moving across security and DevOps teams.

Equip developers with success

Discover how to provide fixers with the asset-specific guidance and context they need to act quickly and confidently within their native environment.

Continuous compliance visibility

 See how to use live dashboards and audit trails to provide leadership with defensible evidence of remediation progress and compliance maturity.

Key Features

Intelligent Aggregation

Automatically unify SCA findings with a common fix to streamline actions that deliver the greatest impact and reduce noise.

AI Remediation Steps

Provide developers with clear, software-specific instructions for how to remediate each issue without leaving their native tools.

Find the Fixer

Use AI to identify the right owner instantly, eliminating the misrouted tickets and manual chasing that stall progress.

Bidirectional Workflows

Allow status changes and comments to sync directly between Seemplicity and Jira, keeping security and DevOps perfectly aligned.

Ready for more information?

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Related Demo

Aggregate Findings by Machine and Package

Aggregate Findings by Machine and Patch

Resource Management