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Introducing AI Unpacking Evaluation Agent
Product Updates

AI Unpacking Evaluation Agent: Clearer Extraction Insight & Faster Fixes

Stop guessing if scan results are complete. The AI Unpacking Evaluation Agent shows unpacking quality, identifies root causes, and recommends fixes inside the platform.

Zachary O'Dell

Zachary O'Dell

February 17, 2026

Finite State is excited to introduce the AI Unpacking Evaluation Agent, a new capability designed to bring clarity, transparency, and actionable guidance to one of the most critical and often opaque steps in artifact analysis, extraction, and unpacking.

With this release, customers no longer have to guess whether scan results represent a complete artifact or only a partial view due to unpacking issues. The AI Unpacking Evaluation Agent automatically evaluates extraction quality, explains what went wrong when issues occur, and provides clear next steps to resolve them, all directly within the platform.

Release Highlight: Immediate Visibility Into Unpacking Quality

When unpacking fails or is incomplete, results can be misleading. This creates uncertainty, slows investigations, and increases support overhead.

The AI Unpacking Evaluation Agent solves this by clearly assessing how successfully an uploaded artifact was extracted and presenting a simple, customer-friendly quality rating such as Excellent, Good, Fair, or Poor.

What this means for you:

  • Immediate confidence in whether results are comprehensive
  • Clear signals when findings may be incomplete
  • Reduced risk of false confidence in partial analysis
  • Faster decisions about whether remediation or re-upload is needed

No more interpreting incomplete results after the fact. The platform tells you upfront how reliable the analysis is.

Actionable Guidance When Extraction Is Incomplete

Example of unpacking agent results

When unpacking issues occur, the AI Unpacking Evaluation Agent goes beyond detection to explanation and remediation.

The agent:

  • Identifies likely root causes of incomplete unpacking
  • Highlights relevant file paths tied to each issue
  • Provides concrete, prioritized recommendations for what to do next

Examples of guidance include instructions to unpack locally, decrypt content, repackage nested archives, or adjust compression formats before re-uploading.

Why this matters:

  • Faster troubleshooting with no guesswork
  • Fewer failed upload iterations
  • More self-service for complex artifacts
  • Less reliance on support for routine extraction issues

Built for Complex, Real-World Artifacts

This capability is especially valuable for teams analyzing firmware images, disk images, nested archives, and encrypted containers, where extraction challenges are common and costly.

Whether you are onboarding new artifacts or running recurring scans, the AI Unpacking Evaluation Agent helps ensure the results you see truly reflect what is inside the artifact, or clearly explains when they do not.

Why This Matters: Transparency, Trust, and Faster Time-to-Value

These updates help teams:

  • Trust scan results with clear completeness signals
  • Reduce time spent diagnosing unpacking failures
  • Resolve issues faster with actionable guidance
  • Decrease support and engineering escalations
  • Move from upload to usable results with fewer iterations

Instead of quietly producing partial results, Finite State now explains extraction quality, flags risk, and tells customers exactly what to do next. This sets a new bar for transparency in artifact analysis.

See the AI Unpacking Evaluation Agent in Action

If you are a current customer, upload an artifact to experience the new evaluation insights firsthand.

New to Finite State? Schedule a demo to see how the AI Unpacking Evaluation Agent helps teams move faster, reduce friction, and trust their results from the very first scan.

Tags

#product features
Zachary O'Dell

Zachary O'Dell

Zachary is a Senior Product Manager at Finite State, where he leads platform and integration initiatives across the product. He partners closely with engineering and customers to ship meaningful improvements and translate complex requirements into practical, user-first solutions.

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