Within the booming of legitimate commercial and social activity, a growing group of actors are exploiting internet technologies to commit diverse and borderless cybercrimes. These include extortion, exploitation, and attacks on critical infrastructure. Criminals increasingly use secure, anonymous telecommunications across multiple devices, complicating digital investigations. Challenges in digital forensics persist and fall into technical, legal, and resource categories, despite being identified over 15 years ago. Today, the scale and complexity have intensified with more devices, data formats, and privacy concerns. While initiatives like Evidence, e-CODEX, FREETOOL, and ASGARD offer support, the volume of evidential material remains a significant threat.

INSPECTr deployed big data analytics, cognitive machine learning and blockchain technologies to equip Law Enforcement Agencies with advanced technologies for tackling these criminal activities. It developed a shared intelligent platform, using a novel process for gathering, analysing, prioritising and presenting key data, to assist prediction, detection and management of crime by local, national and international agencies. The INSPECTr platform processes both structured and unstructured data, combining outputs from free and commercial forensic tools with online sources. It supports automated data ingestion and homogenisation, enabling interoperability across various formats. Investigators can visualise, bookmark and export evidence into reports, through knowledge discovery techniques.