AI/ML for continuous security
Implementing continuous security involves integrating proactive and reactive security measures seamlessly across the development, delivery, and operations life cycle. This approach is designed to minimize the frequency and impact of security events. Figure 8.6 illustrates key activities needed to achieve continuous security.
Figure 8.6 – AI/ML for continuous security activities
The following explains potential bottlenecks and how AI/ML can mitigate these challenges:
- Security requirements analysis:
- Description: Defining and understanding the security requirements specific to the application and the environment it operates in.
- Bottlenecks: Time-consuming analysis and potential for overlooking critical requirements.
- AI/ML application: AI-powered tools can analyze project documentation and code to automatically identify security requirements and regulations applicable to the project, speeding up the process and reducing...
