{"id":16061,"date":"2026-07-20T12:46:00","date_gmt":"2026-07-20T12:46:00","guid":{"rendered":"https:\/\/elusivedata.io\/?p=16061"},"modified":"2026-07-20T17:02:44","modified_gmt":"2026-07-20T17:02:44","slug":"the-idea-behind-elusive-data-firefly","status":"publish","type":"post","link":"https:\/\/elusivedata.io\/ko\/the-idea-behind-elusive-data-firefly\/","title":{"rendered":"The idea behind Elusive Data Firefly"},"content":{"rendered":"
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\"\uacf5\ub3d9<\/figure>

James Eichbaum co-founded Elusive Data and has led the product thinking behind the tool that became \ucc3e\uae30 \ud798\ub4e0 \ub370\uc774\ud130 \ubc18\ub527\ubd88\uc774<\/a>. Ahead of the August 31<\/a> launch, we sat down with James, Head of Product & Training, to talk about what happens after extraction, why provenance became the whole idea, and why honesty is a forensic feature.<\/p>

Describe yourself and your background in three sentences.<\/h3>

I have spent most of my career in digital forensics, working cases, testifying in court and training forensic teams around the world. Before founding Elusive Data, I worked as an investigator, and later spent years as a Global Training Manager and instructor at MSAB, which gave me a front-row view of what examiners struggle with in real investigations. Firefly comes from that same place as our training: real cases, practical problems and the gap between what tools show and what examiners still need to understand.<\/p>

Firefly started life as SQLite Visualizer. What made you come up with the first version?<\/h3>

In my work as an investigator and trainer, I kept seeing the same problem. The extraction tools did the hard job of getting data off a device, and then they presented the examiner with a decoded view of it. In many cases, that decoded view was enough. But the moment a case became more complex, I needed to understand where a value had actually come from, how the tool had interpreted it, and whether I could trust the result.<\/p>

I saw the same thing with students in training. They could see the decoded information, but there was often a gap between that abstract view and the underlying data structures that produced it. We needed a better way for students and analysts to explore those structures, understand how the data was stored, and then compare that directly with what the forensic tools were reporting.<\/p>

We initially built SQLite Visualizer to support that learning process. It gave people a way to move beyond simply accepting a decoded result and instead understand and validate the data behind it. It soon became clear that the same capability was just as valuable in real forensic examinations, and Firefly grew from there.<\/p>

And Firefly is that question, taken much further?<\/h3>

Yes. SQLite Visualizer began as a way to bridge the gap between the decoded information shown by forensic tools and the underlying data structures that produced it. Firefly takes that same principle much further.<\/p>

Firefly is the step after extraction<\/a>. Getting the data off the device is one job, and the major extraction platforms do that job well. Understanding what the data means, examining what may still be present beneath the decoded view, and being able to demonstrate where a finding came from is a different job. That is the part we focus on.<\/p>

Firefly is for the examiner who needs to go beyond the standard decoded output, recover what the data still holds, interpret it in context, and trace each finding back to its source.<\/p>

Why the name Firefly?<\/h3>

A firefly is a small light you follow through the dark. That is honestly what the work feels like. You are in a mess of databases, deleted structures, timestamps, BLOBs and nested data. You are looking for the one small thing that leads you to the answer.<\/p>

The name fits the job. Firefly is about following the light back to where the evidence came from.<\/p>

Your launch line is \u201cBuilt on provenance.\u201d What does that mean?<\/h3>

It means three concrete things. First, where a finding came from: the file, the page and the byte offset. Second, how it was read: which recovery method surfaced it, which timestamp interpretations are possible and how confident that reading is. Third, whether the examiner can check it themselves against the raw bytes.<\/p>

Most tools decode data and carry you away from the source. Firefly lets the examiner move from the interpreted result by following the path back to the source.<\/p>

Plenty of tools show decoded data. What is different here?<\/h3>

Decoded data is a reading of the source. It is often right. Sometimes it is incomplete, outdated or wrong, because app formats change and support is never finished. Our position is simple: a reading you cannot trace back to the source is a reading you are trusting on faith.<\/p>

Firefly shows the reading and the source together. It lets the examiner confirm what was found, where it came from and how it was interpreted. We are not trying to replace anyone\u2019s decoder. We are trying to make decoded answers something examiners can stand behind.<\/p>

How did that forensic caution shape the way Firefly works?<\/h3>

By refusing to overclaim. Overclaiming may sound good in a brochure, but it can be fatal in a courtroom. We do not claim to recover everything that was ever deleted. We recover data where it remains, and we show the mechanism that surfaced it. That might be a write-ahead log, a journal, a freelist, a residual structure, or an older version of a key.<\/p>

When a timestamp has more than one plausible reading, we show the candidates instead of picking one and hiding the doubt. Confidence is shown, not asserted. That is not modesty. It is what survives cross-examination.<\/p>

What does Firefly actually cover?<\/h3>

The databases and data sources modern apps really use: SQLite, including encrypted SQLite, RealmDB, LevelDB, IndexedDB and Apple Biome \/ SEGB, which you can query directly. Firefly brings those sources into one workspace, so examiners do not have to rebuild their method for every format.<\/p>

The point is not just coverage. The point is source context across the whole workflow<\/a>.<\/p>

Who did you build it for?<\/h3>

People whose findings need to stand up to scrutiny.<\/p>

That includes public safety and justice professionals, who may need to defend a finding in court; corporate and eDiscovery teams, where the investigation must be thorough and defensible; and military and intelligence teams, who may need to understand app data quickly while still being able to validate it against the source.<\/p>

Different environments, but the same underlying need: an answer you can understand, verify and explain.<\/p>

What are you most proud of?<\/h3>

That the honesty is built in, not bolted on. The original evidence is never worked on directly. You work from hash-verified copies. Logging is available when a workflow requires a record of what was done, but it is the examiner\u2019s choice. Reports come out as interactive HTML that keeps the working view. The selected records, aliases, interpreted values, timestamps, sort order and source context stay with the report.<\/p>

None of that is flashy. But it means the examiner can show exactly how a finding was reached and stand behind it.<\/p>

August 31. What do you want people to take away?<\/h3>

That the interesting part of a case does not end at extraction. And that you do not have to trust a decoded answer on faith.<\/p>

Follow the light back to where the evidence came from. Check it yourself. Then stand behind it.<\/p>

10 quick with James<\/h3>

Firefly in one line?<\/h4>

One forensic workspace for app-data investigations, built on provenance.<\/p>

The one word that matters most?<\/h4>

Provenance.<\/p>

Extraction or interpretation?<\/h4>

Extraction is the door. We are what you do in the room.<\/p>

Favorite artifact to work on?<\/h4>

The one that looks empty until you know where to look.<\/p>

The feature you fought hardest for?<\/h4>

The byte-offset trace. Where it came from, exactly.<\/p>

Recover everything deleted?<\/h4>

No. Recover where the data remains and show exactly how it was recovered.<\/p>

Best report is a…?<\/h4>

Interactive HTML that keeps the view you were working in.<\/p>

One thing you refuse to do?<\/h4>

Hide doubt. If a timestamp has two readings, you see both.<\/p>

What makes a finding useful?<\/h4>

Being able to show where it came from, how it was read, and why it can be trusted.<\/p>

Why should someone care on August 31?<\/h4>

Because the answer you cannot trace is the answer you cannot defend.<\/p>

Read more about Firefly<\/a>
\ucd9c\uc2dc \uc6e8\ube44\ub098 \ub4f1\ub85d<\/a>
Download the brochure<\/a><\/div><\/div>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

James Eichbaum on the idea behind Elusive Data Firefly, why provenance matters after extraction, and why honesty is a forensic feature.<\/p>","protected":false},"author":20,"featured_media":16131,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_theme","format":"standard","meta":{"_angie_page":false,"content-type":"","page_builder":"","footnotes":""},"categories":[103,122],"tags":[133,135,132,134,136],"class_list":["post-16061","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-tools","tag-app-data-forensics","tag-digital-forensics","tag-firefly","tag-forensic-tools","tag-mobile-app-evidence"],"acf":[],"yoast_head":"\nThe idea behind Elusive Data Firefly | Elusive Data<\/title>\n<meta name=\"description\" content=\"James Eichbaum explains the thinking behind Elusive Data Firefly, why provenance matters after extraction, and why honesty is a forensic feature.\" \/>\n<meta name=\"robots\" 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