Platform engineering can improve developer experience, provide reusable platform services across an organization, and help teams deliver software more quickly without compromising trust and security. In practice, however, many platform teams struggle to achieve the level of adoption they expect. Some teams find themselves pulled into project-specific support work. Others build tools and standards that are technically sound, but rarely used, and as a result, the platform does not deliver the reusability or scale it was intended to provide.As a Red Hat consultant, I have worked on platform engin
Recently, Red Hat's Vincent Danen highlighted how AI models found 271 real security defects in Firefox in a single pass during Mozilla's collaboration with Anthropic. If AI can do that for defenders, it can do the same for attackers. As Danen put it, "if your security strategy is solely predicated on the assumption that software will be vulnerability-free, you've already lost." Vulnerabilities in code are only the entry point. The real damage comes after—lateral movement through misconfigured networks, overprivileged credentials, unrotated secrets, and services that blindly trust each other.