Intelligent CISO Issue 16 - Page 39

FEATURE Finding tools to help you create the appropriate balance between collecting relevant evidence for investigations and maintaining privacy rights should be a priority. endpoint, helping you conduct faster, more targeted enterprise-wide, post- breach HR and compliance investigations. The promise of Artificial Intelligence The shifting nature of investigative challenges – more of them and of ever-increasing complexity – has drawn a logical response from technology developers serving the space. We see this in new integrated investigatory systems that offer faster processing capabilities, more powerful databases, higher scalability and tighter team integration for more effective collaboration. All of these have advanced the cause for dedicated investigative professionals as well as their colleagues in HR, IT and others who frequently contribute to investigations. But where the future of automated digital forensic tools truly lies is in Machine Learning and Artificial Intelligence (AI). The nature of Machine Learning is that through repetition and observation over time, solutions can deliver faster performance and improved outcomes. In the context of digital forensics, we’re seeing that with these new technologies investigative teams can be empowered at every skill level to conduct and close | Issue 16 more accurate, advanced investigations on shorter timeframes. The performance of the digital forensic tools you already know and trust gets elevated, providing even greater control over the way you process, locate, analyse and report on key pieces of data. The difference Machine Learning can make has effects across the investigative spectrum: • Exert greater control over visual data: Integrated visualisations, including timelines, maps, charts and social communications analysis, along with image recognition, including facial recognition from a single photo, power lightning-fast reviews. • Reveal connections and discover insights: Advanced tools make it easy to search data across cases and develop deep cross-evidence insights; analyse volumes of information quickly and make large, diverse data sets more digestible. • Guide current and future investigations: Machine Learning capabilities make it possible to monitor every step to help surface more accurate and relevant findings, faster; maximise resources with available tools for establishing workflows, automating tasks and collaborating across teams. u 39