The Forecast: Securing the Next Frontier – AI, DeepSeek, and the Future of Cloud Security

Overview

Each new technology presents new security-related risks, so security and cloud architects need to present solutions on how these technologies can be implemented securely. Often these technologies can be secured using existing tools and through a well-designed strategy.

In this course, The Forecast:

Securing the Next Frontier – AI, DeepSeek, and the Future of Cloud Security, you’ll learn to secure AI tools and other new or emerging technologies. First, you’ll explore the risk associated with DeepSeek and other AI technologies.

Next, you’ll discover how to integrate robust security solutions into AI deployments. Finally, you’ll learn how to prepare for and respond to new vulnerabilities associated with emerging technologies.

When you’re finished with this course, you’ll have the skills and knowledge of securing AI implementations like DeepSeek needed to develop and operate resilient cloud-based solutions .

Syllabus

• Introduction to AI and Cloud Security
Overview of AI technologies and their rapid adoption
Introduction to cloud security principles
Importance of securing emerging technologies
• Risks Associated with AI Technologies
Identifying security risks in DeepSeek and similar AI tools
Case studies on AI-related security breaches
Regulatory and ethical considerations in AI security
• DeepSeek and Emerging Technologies
Understanding DeepSeek technology and architecture
Security vulnerabilities specific to DeepSeek
Comparison with other AI technologies
• Integrating Security into AI Deployments
Best practices for securing AI systems
Leveraging existing security tools for AI
Designing secure AI architecture
• Building a Comprehensive Security Strategy
Risk assessment and management for AI applications
Developing a proactive security strategy
Role of cloud architects in AI security
• Responding to New Vulnerabilities
Incident response planning for AI and cloud security
Monitoring and detection of threats in AI systems
Continuous improvement and adaptation of security measures
• Future Challenges and Opportunities
Emerging trends in AI and cloud security
Innovations in security tools and solutions for AI
Preparing for the next frontier in technology security
• Conclusion and Next Steps
Recap of key concepts and strategies
Resources for continued learning and development
Building a network of security professionals in AI and cloud technology
• Practical Applications and Case Studies
Hands-on exercises to apply security strategies
Analysis of real-world case studies in AI security
Group discussions and peer feedback sessions

Taught by

Kevin Henry

Subjects

Programming