Court Admissible Gait Recognition

This lead feature examines how AI-driven gait and body-structure analysis transformed poor-quality CCTV footage into court-admissible biometric evidence. It explores how investigators applied advanced modelling techniques when traditional identifiers such as DNA, fingerprints, and facial recognition were unavailable. The article demonstrates how emerging biometric methodologies are reshaping evidential strategies and strengthening the reliability of forensic identification in complex criminal investigations.

Eliminating the "Agent Obstacle" in Hyperscale Environments

This article explores the forensic challenges created by hyperscale cloud environments where investigators rely on provider-controlled infrastructure. It introduces hardware-isolated forensic gateways designed to restore jurisdictional control, maintain immutable chain-of-custody records, and detect unauthorised administrative actions. The article highlights how combining hardware validation, blockchain anchoring, and AI-driven monitoring can reduce evidential risk and improve trust in cloud-based forensic investigations.

AI & LLMs in DFIR

This feature examines how artificial intelligence and large language models are transforming digital forensic and incident response workflows. It outlines how AI enhances triage, timeline creation, malware analysis, reporting, and threat hunting, while also addressing the governance and validation controls required to ensure defensible outcomes. The article provides practical insight into integrating AI into investigative environments while maintaining transparency, auditability, and evidential reliability.

Modern Forensic DNA Profile Analysis & Interpretation

This article explores the evolution of forensic DNA analysis, focusing on techniques such as stutter modelling, contributor estimation, and AI-assisted peak classification. It discusses how modern workflows combine automation and expert interpretation to improve accuracy and efficiency while maintaining defensible laboratory standards. The feature highlights the importance of structured methodologies and integrated technologies in supporting reliable forensic conclusions in complex biological evidence scenarios.

Scheduled Ransomware Attacks

This feature investigates how ransomware groups deliberately schedule attacks during weekends, holidays, and low-staff periods to maximise operational disruption. It analyses common attack patterns, identity-based vulnerabilities, and the growing reliance on automation within ransomware campaigns. The article emphasises the need for continuous monitoring, identity threat detection, and rapid response capabilities to reduce the operational and financial impact of targeted ransomware incidents.

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