New risks become apparent in MAD primarily due to the “legolized” methodology, which introduces numerous variables into the risk vs. reward equation. Although the promised benefits of MAD are measurable and well-supported across the development industry, expanded risks must still be acknowledged and addressed.
In this e-book, we’ll perform a deep dive into the new security risks that come along with the MAD methodology.
- Open source, including unknown origins and licensing issues
- Microservices, including complexity and faulty security measures
- Containers, including low visibility and sensitive data exposure
- IaC, including steep learning curves and configuration drift
- APIs, including redundancies, monitoring challenges, and training