Executive leaders from Arctic Wolf, Docker and Illumio share insights on fostering a strong security culture, balancing innovation with security, and addressing challenges in data protection and AI model development.
Topics Include:
- Overview of security culture in different company teams
- Importance of guidelines and secure IT infrastructure for AI models
- Challenges of accessing customer data while maintaining security
- Need for anonymization in early AI model development
- Docker's open-source ecosystem and security integration
- Dogfooding own products to ensure product reliability and trustworthiness
- Illumio’s high customer trust and responsibility for strong security practices
- Balancing security awareness with development speed at Illumio
- Gamifying security training to increase awareness
- Interlocking with customers to enhance security understanding for developers
- Embedding security into the development process from the start
- Illumio's approach to security in agile, cloud-native development
- Adapting customer success strategies for evolving security needs
- Rise of non-developers using AI in enterprises
- Educating business leaders on security best practices
- Scaling customer enablement and education through community engagement
- Challenges of placing security responsibilities in the developer workflow
- Arctic Wolf’s AI strategy for secure development
- Use of anonymized data in secure AI model training
- Generative AI’s potential to augment human creativity and efficiency
- Panelists' views on private AI and segmented model development
- Measuring security culture progress with gamification and development metrics
- Addressing human factors in cybersecurity and social engineering threats
- Emphasizing resiliency and containment in preventing widespread cyberattacks.
Participants:
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