AI342: Information Security 24/7: AI-based Compliance Hotline

Agenda:

• Module 1: Introduction to AI-based Compliance Hotlines
  • Purpose and Objectives: Explanation of the necessity for a 24/7 available compliance hotline and the advantages of AI deployment
  • Application Areas: Discussion of relevant scenarios in the information security domain where such an assistant provides added value

 

• Module 2: Architecture and Components of the Voice Agent
  • Real-time Speech Processing: Implementation of the OpenAI Realtime API for natural language interactions
  • Knowledge Retrieval: Integration with the existing knowledge management system for efficient information acquisition
  • User Intentions and Actions: Definition and processing of user intents and corresponding assistant skills

 

• Module 3: Development of Individual Components
  • Speech Recognition and Synthesis: Utilization of the OpenAI Realtime API for real-time speech interactions
  • Integration with the Knowledge Management Tool: Connection of the voice agent with internal databases or document management systems
  • Security and Data Privacy Aspects: Consideration of compliance guidelines and implementation of security measures

 

• Module 4: Setup of Vector Database for Knowledge Retrieval
  • Data Preparation: Processing and indexing of relevant documents and information
  • Implementation of Vector Databases: Deployment of tools like VectorDB for efficient information search

 

• Module 5: Prompt Engineering for User Guidance
  • Creation of Effective Prompts: Design of input prompts that generate precise and helpful responses
  • Optimization of User Interaction: Ensuring intuitive and effective communication between user and assistant

 

• Module 6: Extension Possibilities and Application to Own Knowledge Base
  • Adaptation to Specific Requirements: Modification of the assistant according to individual enterprise needs
  • Scalability and Maintenance: Planning for future extensions and continuous system updates

 

• Module 7: Best Practices and Pitfalls in Implementation
  • Common Challenges: Identification of potential problems and their solutions
  • Success Factors: Strategies for successful implementation and system acceptance

 

• Module 8: Final Discussion and Transfer of Learning
  • Reflection: Assessment of learned concepts and their application in own enterprise context
  • Next Steps: Planning of further measures for voice agent implementation

Objectives:

Upon completion of the training AI342 Information Security 24/7: AI-based Compliance Hotline you will be able to understand the fundamentals and benefits of AI-based compliance hotlines, implement a real-time voice assistant with OpenAI technologies, integrate it into existing knowledge management systems while maintaining security and data protection standards. You will thus be enabled to develop and successfully deploy an innovative and effective solution for 24/7 information security in your enterprise.

Target audience:

• Developers
• IT Professionals
• Compliance Officers

Prerequisites:

To effectively follow the content and learning pace of the course AI342 Information Security 24/7: AI-based Compliance Hotline, we recommend the following prerequisites:

• AI020 AI & Data Science Practitioner (alternatively basic knowledge in programming and experience with IT systems)
• AI030 AI & Data Science Expert (alternatively basic knowledge in recommendation systems and prompt engineering)
• Basic knowledge in data protection and compliance is advantageous

Description:

In the hands-on workshop AI342 Information Security 24/7: AI-based Compliance Hotline you will learn how to develop a real-time voice assistant for your enterprise compliance hotline. By leveraging the OpenAI Realtime API and integrating with your internal knowledge management system, you create a solution that is available around the clock and meets information security requirements.

The course begins with an introduction to AI-based compliance hotlines, explaining the significance and benefits of such systems in the compliance domain as well as their use cases and value for information security. Subsequently, the architecture of a real-time voice assistant is presented, including an overview of the OpenAI Realtime API and its deployment possibilities as well as integration into existing knowledge management systems.

In the further course progression, we focus on the implementation of the voice interface, including setup and configuration of the OpenAI Realtime API for voice interactions as well as processing of voice inputs and generation of voice outputs. Furthermore, the integration with the knowledge management system is covered to ensure data retrieval and processing from internal knowledge databases and to guarantee the currency and relevance of the provided information.

A particular focus lies on security and data protection aspects, addressing compliance with compliance guidelines and data protection regulations as well as implementation of security measures for protecting sensitive data. Finally, methods for testing and optimizing the voice assistant are presented, including execution of functional tests, troubleshooting and system adaptation based on user feedback. The course concludes with deployment and maintenance of the voice assistant in the enterprise environment as well as planning of regular updates and maintenance strategies.