Computer & Mobile Forensics

Digital evidence needs context.

A forensic extraction can contain millions of records. The important question is not simply what data exists—it is what the relevant artifacts mean when correlated with the allegation, user activity, timeline, and independent evidence.

Device coverage

Forensic examination built around the question—not the software.

Access Investigations performs digital forensic analysis and examination of computer and mobile evidence, with emphasis on artifact meaning, provenance, event reconstruction, user activity, and defensible correlation.

iOS

iPhone & iPad Forensics

Application data, photos and media, communications, web activity, account records, location-related artifacts, system records, and other case-relevant data available in the extraction.

AND

Android Forensics

Media databases, thumbnails and caches, downloads, application records, file-system artifacts, communications, user activity, and correlated event reconstruction.

WIN

Windows Forensics

File activity, browser/download evidence, execution artifacts, external-device records, user profiles, communications, persistence, and event logs.

MAC

macOS Forensics

File-system activity, application execution, privacy permissions, network configuration, persistence, account activity, unified logs, and other macOS-specific artifacts.

GCFEGIAC Certified Forensic Examiner
GCFAGIAC Certified Forensic Analyst
GASFGIAC Advanced Smartphone Forensics
4 PlatformsiOS · Android · Windows · macOS
Artifact-level review
File provenanceORIGIN
Application activityUSAGE
Media databases & cachesCONTEXT
System / OS recordsVALIDATE
Timeline correlationRECONSTRUCT
Independent evidenceCORROBORATE
Analysis over automation

A parser result is the beginning of the analysis.

Forensic tools are valuable, but an automatically parsed record can be misunderstood when separated from its database, path, application behavior, operating-system context, or surrounding timestamps.

01

Validate the source artifact

Review the underlying database, file, metadata, log, or system record—not only the tool's summary.

02

Distinguish user action from automation

Identify whether activity is consistent with deliberate interaction, background processing, synchronization, caching, or system behavior.

03

Correlate before concluding

Use independent artifacts and time anchors to strengthen or challenge the interpretation.

Questions digital evidence can address

What are you trying to prove—or disprove?

File origin & provenance

Determine how a file likely arrived on the device and what evidence supports that conclusion.

  • Browser and download artifacts
  • Messaging and email attachments
  • Cloud synchronization
  • Archive / ZIP extraction behavior
  • File-system paths and metadata

Viewing & interaction

Assess whether available artifacts support deliberate viewing, preview generation, application access, repeated interaction, or automated processing.

  • Media databases
  • Thumbnails and caches
  • Application histories
  • Recent-items artifacts
  • Correlated timestamps

Deletion chronology

Reconstruct when deletion likely occurred and whether the record supports immediate deletion, delayed deletion, or later residual activity.

  • Trash / recently deleted artifacts
  • Database state changes
  • File-system metadata
  • Cache persistence
  • Backups and cloud records

Copying, transfer & sharing

Look for evidence of movement beyond the original device while distinguishing actual transfer from mere application capability.

  • External storage activity
  • Messaging / email attachments
  • Cloud service artifacts
  • Share-sheet / application records
  • Network and account context

User & device access context

Evaluate evidence that can help attribute activity to a user while clearly separating direct evidence from inference.

  • Authentication and unlock context
  • Application usage
  • Accounts and sessions
  • Location and movement records
  • Communications and external corroboration

Event reconstruction

Normalize timestamps from different sources and compare them against independent anchors to reconstruct the most supportable sequence.

  • Time-zone normalization
  • Independent time anchors
  • User vs. system activity
  • Conflicting timestamp resolution
  • Confidence and alternative explanations
Find. Validate. Correlate. Explain.

Do not let a software summary become the final word on digital evidence.

Ask what the artifact actually means, what supports the interpretation, and which alternative explanation must be ruled out.

Call 210-617-3154 →