Knowledge Hub

In our Knowledge Hub you can find lots of insightful reports, covering a variety of challenges and topics of interest for the 3 lines of defence. You can browse through all the content or select a filter to see specific topics within the Knowledge hub.
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  • Banks are under pressure to improve the efficiency and effectiveness of their surveillance processes. Many of them are looking at ways to aggregate intelligence gleaned from invariably separate e-comm ...
  • After a year of record fines, banks will be going into 2021 keen to future-proof their controls, culture and their tech. Ideal Prediction has a solution.
  • Most financial institutions know that data embedded in email and other forms of communication have the potential to transform market abuse programmes. They also know that they can use AI-based technol ...
  • Buy-side institutions feel they are under less pressure to re-engineer their surveillance processes – whether from regulators or as a result of alert fatigue – than sell-side firms. But now that hybri ...
  • Energy trading: a new frontier in surveillance Energy trading, which encompasses activities from emissions to derivatives, has some way to go before it catches up with surveillance in the financial se ...
  • US heads of surveillance discussed challenges and priorities at 1LoD’s Surveillance Leaders Network in New York in December.    
  • The challenges faced by those in supervision, surveillance and broader compliance and risk and control functions require a data first approach. This is more easily achieved if business chiefs realize ...
  • Across a broad range of technologies, including compliance communication surveillance solutions, buy vs build is an increasingly false dichotomy. Faced with the need to comply with rapidly evolving re ...
  • To prevent financial crime, banks typically depend on a series of distinct functions, with clearly separate staff, processes and technologies. This silo arrangement is often blamed for any inefficienc ...
  • Firms are focused on addressing the quality of risk data through accountability, transparency and control, while also confronting an expanded set of interconnected risks and heightened supervisory and ...