Securing Data in the Era of GenAI & LLM Technologies

GenAI and LLMs are great technologies and here to stay. Yet what protections are there with knowing, protecting, and controlling sensitive data? How are permissions enabled to use data with […]

GenAI and LLMs are great technologies and here to stay. Yet what protections are there with knowing, protecting, and controlling sensitive data? How are permissions enabled to use data with these AI-type technologies, when there are more stringent data privacy regulations coming online now and on the horizon in addition to a firm’s policies and standards with managing and using data?

A well-executed data protection strategy can augment and even enable such use of these technologies for the good let alone prevent bad outcomes with data. Ultimately, these can help accelerate digital transformation and gain the agility, speed, and data integrity needed for successful commercial outcomes.

Join this session with panelists from Seclore, T. Rowe Price, DIACSUS, and Element22 to discover:

  • How GenAI & LLMs are used to automate workflow solutions, especially with unstructured data, and considerations for risks and mitigating controls
  • The importance of a set of systemic checks and balances when using GenAI & LLMs to stitch data together for research, language translation, reconciliations, workflow management, records updates, and other needs across business use cases
  • The relevance of protecting sensitive data via a data-centric security capability:Knowing your risk
  • Protecting your sensitive data assets
  • Controlling how your data assets are used
  • The types of sensitive data needs and why they are relevant, whether personal data as related to AML / KYC requirements or firm Intellectual Property data as related to strategic new product launches

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