RIF – Image & Document Forensics
The RAALS RIF (Image & Document Forensics) module suite combines artificial intelligence, computer vision, and forensic analytics to validate the authenticity and integrity of images, videos, and digital documents.
It empowers investigators, insurers, and compliance professionals to detect manipulation, verify identities, and uncover hidden correlations between visual evidence and case data.
By integrating seamlessly with RAALS Case Management and AI modules, RIF transforms multimedia content into actionable intelligence — detecting inconsistencies, falsified documents, or digitally altered visuals in real time.
This powerful forensic ecosystem ensures that every piece of digital evidence is reliable, traceable, and legally defensible, providing unmatched transparency and efficiency in modern investigations.
Comprehensive forensic analysis: Examines images, videos, and documents for authenticity and integrity.
AI-driven fraud detection: Identifies manipulated, falsified, or AI-generated content.
Integrated identity verification: Combines facial recognition, document validation, and metadata analysis.
Visual search and similarity detection: Finds duplicates, near-duplicates, or reused images across cases.
Metadata and contextual insight: Extracts location, device, and time data for deeper forensic validation.
Seamless integration: Works alongside RAALS Case Management, Alerts, and AI modules for full investigative context.
Regulatory and evidential compliance: Ensures all digital assets meet forensic and legal standards for evidence handling.