The fastest, most accurate
automated file forensics platform
FDS analyzes metadata, EXIF data, pixels in images, text in PDFs, revision history and more — to detect signs of tampering, manipulation and reuse. We cross-check this data against submitted claim details and watch lists and verify that the provided files are legitimate originals.
Metadata & EXIF Data Verification
Do a meticulous sweep of every file’s metadata and EXIF fields. It verifies capture dates, firmware versions, GPS coordinates, and colour profiles, then cross checks each element with the claim narrative and the device release timeline. Any mismatch between recorded parameters and stated circumstances is flagged immediately, giving adjusters an objective baseline before deeper analysis. The process runs in parallel for every attachment, ensuring no manual delays or sampling gaps.
Pixel-Level Forensic Detection
FDS performs advanced pixel-level analysis to detect signs of image manipulation that aren't visible to the naked eye. This includes identifying inconsistencies in lighting, compression artifacts, attempts to use erasing tools, AI image generation and more. By analyzing the raw visual data, FDS helps verify whether an image has been altered—even if metadata has been stripped or edited.
Document Integrity Analysis
FDS examines the internal structure of documents to ensure authenticity and consistency. We analyze revision history, embedded annotations, resave patterns, and formatting anomalies that may indicate tampering. The system also scans for suspicious language or keywords from customizable watchlists, helping identify fraudulent edits or concealed intent within the document.
AI‑Generated Content Detection
FDS uses advanced analysis to identify content that may have been generated or manipulated by AI - checking for inconsistencies that differ from human-created content. This helps flag synthetic deepfakes, or AI-enhanced media that could be used to mislead, distort evidence, or support fraudulent claims.
File Reuse & FDS DataPoint
FDS detects reused or recycled files through layered reverse image searches—across public internet sources and our proprietary engine. We also scan your internal claims history for prior submissions of the same or similar files. With FDS DataPoint, files are securely checked against a global network of anonymized data from other FDS users, helping identify repeated use or coordinated fraud while maintaining complete privacy and data integrity.