Overview
Thanks to the great progress made by AI models such as LLMs and the increasing provision of standardized AI services, the application of these technologies is experiencing a real boom. However, the increasing acceptance and use of services in the corporate context also entails risks that IT security must face.
Similar to the introduction of cloud services almost two decades ago, AI services are developing rapidly and are being evaluated, rolled out and used by completely new user groups. The central task of security will therefore be to enable this new paradigm shift, to learn from past experiences, not to slow down the AI teams and thus to secure the competitive advantages that their companies can achieve. At this dinner, you will learn how you can successfully master this balancing act.
Key Discussion Points Will Include -
- Visibility of the technologies and teams building on AI services
- Understanding of AI-specific risks (data leak for training data, misuse of models, costs of misuses of cloud services)
- Parallels to the cloud: Innovation is only possible if it is not unnecessarily slowed down by IT security.
Thought Leading Host
Wiz is on a mission to transform cloud security for customers – which include 40% of the Fortune 100 – by empowering them to embrace a new cloud operating model. Its Cloud Native Application Protection Platform (CNAPP) delivers full-stack visibility, accurate risk prioritization, and enhanced business agility. The result? More context with less noise, so that security teams can focus their time on what matters most.
Wiz can deploy in minutes, and provides a Security Graph that surfaces insights in a simple, straightforward manner. Its ease of use and near instant time-to-value are among the reasons why Wiz is #1 based on independent customer reviews. With Wiz, organizations can democratize security with a unified foundation across the development lifecycle that enables them to build faster and more securely.
Agenda
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