Past Webinar

Securing Data in the Era of GenAI & LLM Technologies

Date and Time

Tue, Feb 27, 2024
Read the 3-minute summary


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 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


Mark Sutera
VP for Enterprise Sales, Seclore
Tom Dunlap
Managing Partner, DIACSUS
Jay Como
Head of Enterprise Data Governance & Operations, T. Rowe Price
Mark Davies
Partner, Element22
Moderator: Jim Halcomb
Head of Product Management, EDM Council

Post-event summary

The webinar titled “Securing Data in the Era of GenAI & LLM Technologies,” co-hosted by the EDM Council and Seclore, featured a dynamic and insightful discussion among industry experts:

  • Mark Sutera, VP for Enterprise Sales, Seclore
  • Jay Como, Head of Enterprise Data Governance & Operations, T. Rowe Price
  • Tom Dunlap, Managing Partner, DIACSUS
  • Mark Davies, Partner, Element22
  • Jim Halcomb, Moderator

The panel brought together industry experts to discuss the integration and implications of generative AI (GenAI) and large language models (LLMs) within the financial services industry. They engaged in a comprehensive dialogue on how these emerging technologies are reshaping data management, security, and quality standards.

The conversation revolved around the essential practices for managing the surge of unstructured data generated by GenAI and LLMs, emphasizing the need for stringent data governance, risk assessment, and adherence to evolving regulatory frameworks. With financial services firms increasingly relying on these technologies for various operations, the panel highlighted the significance of implementing robust data classification, protection mechanisms, and maintaining comprehensive visibility and control over data flows. These measures are critical in ensuring data integrity, safeguarding sensitive information, and complying with legal and ethical standards.

Mark Sutera’s insightful comment, “protect the data, [so] if [intruders] come in… it’s irrelevant. And it does make it a harmless data breach, because the data they exfiltrated they can’t put in the dark web. They can’t do anything with it. It’s inaccessible,” succinctly captures the webinar’s central theme. This perspective underscores the importance of proactive and preemptive data security strategies in nullifying the potential threats posed by unauthorized access or cyber-attacks. By adopting such forward-thinking approaches, financial institutions can not only leverage the advantages of GenAI and LLMs but also ensure the protection of their digital assets in an increasingly complex cyber landscape.