01
150+ analysis parameters
Correlates permissions, battery use, timing, background behavior, communication, source, package profile, and other mobile signals.
FORENSICSGUARD
Mobile Security
AI-assisted Android forensic security platform
Mobile forensic intelligence.
Clear evidence. Controlled AI.
ForensicsGuard analyzes Android apps, permissions, communication behavior, battery patterns, runtime signals, and local DNS observations across more than 150 parameters. Suspicious indicators are checked against known IOC sources and ForensicsGuard Lab intelligence.
Local DNS capture
IOC matching
AI report analysis
User-requested checks
Attribution
App-level evidence
UID/package mapping where Android allows it.
Network
DNS visibility
Domain observations captured locally.
Threat intelligence
IOC correlation
Public sources and lab intelligence.
Assessment
Controlled AI review
Report analysis only when requested.
From app behavior to forensic insight.
The platform connects multiple weak signals. A single permission may not prove risk. A single DNS query may not prove compromise. ForensicsGuard correlates context, behavior, communication, and known indicators to support better investigation decisions.
1. App inventory
Reviews installed apps, source, package identity, permissions, launcher visibility, and sensitive capability exposure.
2. Behavior profile
Analyzes runtime behavior, battery consumption, timing patterns, background activity, and communication context.
3. Local DNS capture
Detects suspicious domain resolution attempts locally, including possible command-and-control communication patterns.
4. IOC matching
Checks indicators against selected public research sources, including Amnesty and Citizen Lab, plus ForensicsGuard Lab intelligence.
5. AI report analysis
Analyzes the generated report on request to correlate findings, rank risk, and produce investigation-ready conclusions.
Capabilities designed for mobile forensic triage
Built to support structured analysis, not fear-based alerts.
02
Local DNS investigation
Uses local visibility to identify suspicious domain lookups and possible C2 communication attempts without requiring root access.
03
IOC intelligence checks
Compares observed indicators against known IOC sets from public research and ForensicsGuard Lab internal analysis.
04
Permission and behavior scoring
Ranks app risk using explainable logic that combines capability, context, source, and suspicious behavior.
05
AI-assisted report review
On request, the AI analyzes the generated report to identify patterns, summarize evidence, and support investigation decisions.
06
Investigation export
Produces structured reports for review, documentation, escalation, and deeper forensic follow-up.
AI analysis is controlled and request-based.
The app performs internal analysis against known indicators and ForensicsGuard Lab intelligence. AI review of the generated report is available only when requested by the user or investigator.
The AI engine is designed to analyze relationships between battery behavior, timing, communication patterns, permissions, app source, IOC matches, and more than 150 forensic parameters.
For support, contact support@forensicsguard.org.
FORENSICSGUARD
Mobile Security
Forensic mobile security with AI-assisted investigation.
ForensicsGuard is built for privacy protection, defensive security, and forensic triage. It helps transform mobile signals into structured, explainable investigation findings.
support@forensicsguard.org