Agenda

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The rise of Generative AI (GenAI) and Large Language Models (LLMs) has transformed how businesses operate, but it also introduces new security risks. Sensitive data can inadvertently leak during interactions with these tools, as seen in high-profile incidents like the Samsung data leak (https://mashable.com/article/samsung-chatgpt-leak-details)

Also, Traditional Data Loss Prevention (DLP) tools are ill-equipped to detect and prevent such leaks in LLM transactions, creating significant security blind spots.

In this session, we will examine few real-world examples of AI-related data exposure, explore why LLM transactions pose unique challenges for existing security frameworks, and discuss practical approaches to mitigating these risks. Attendees will gain insights into evolving their DLP strategies to address the dynamic threats posed by GenAI tools in enterprise environments.

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As SaaS applications like O365, Google workspace, Salesforce, Slack, Atlassian, cloud platforms like AWS, Azure, and Gen AI tools like ChatGPT, Copilot dominate modern workflows, they also introduce complex security challenges for CISOs, security leaders, engineers, and practitioners. These include expanding attack surfaces, misconfigured systems, and sensitive data exposures, all of which demand innovative solutions beyond traditional security tools.

In this session, we’ll dive into:

• Emerging risks in SaaS, cloud, and Gen AI environments, including real-world examples of breaches and misconfigurations.

• Actionable strategies to gain full visibility into sensitive data, enforce compliance, and protect against insider and external threats.

• Case studies highlighting successful approaches to securing sensitive data in Gen AI workflows and SaaS platforms.

• Future trends such as Zero Trust principles and AI-driven security automation that will reshape how we protect organizational data.

Designed for CISOs and security practitioners, this talk offers practical takeaways to enhance your data security posture while balancing productivity and compliance in a SaaS-first, AI-driven era.

How do you defend against a threat you can’t see? Research confirms that 60-80% of all breaches involve the successful exploitation of code weaknesses – and yet, ironically, this is where teams have the least context. The good news is, observability data can help – and we’ll unpack this opportunity together in the session.

Sponsor Networking Time | Chat with our sponsors for the chance to win a $50 Gift Card of your choice! Visit Sponsor Booths - find amazing people, information, and prizes! Get updated on the latest technologies!

Chat with our sponsors for the chance to win a $50 Gift Card! Your Choice! All you have to do is have a great conversations with our sponsors and you are automatically entered to win! Drawing winners live!