Shadow-Ai

Artificial intelligence is becoming part of daily software delivery, often before it becomes part of the organisation’s security architecture. This creates Shadow AI: AI tools, models, agents, extensions, or integrations used without formal approval, ownership, risk assessment, or monitoring. For executives, Shadow AI is not primarily a “developers using ChatGPT” issue. It is an enterprise-risk issue: ungoverned AI can gain access to source code, intellectual property, credentials, customer data, cloud environments, and deployment workflows. When AI systems are allowed to call tools or take actions, they must be treated as new non-human identities with access rights, not simply as productivity software. ...

As a DevSecOps Team Leader, my job is to secure customers using modern technologies. Sounds straightforward, right? The reality is far more complex. Every day, I face the challenge of enabling innovation while maintaining security. The rapid adoption of AI has introduced a new dimension to this challenge: agentic AI assistants that do not just chat, they act. This challenge connects directly to something I wrote about recently. In my article on spec-driven development with GitHub Spec-Kit, I discussed how structure and governance matter when using AI for coding. The same principle applies here: when AI agents can execute code, access secrets, and operate with user privileges, we need structure and governance more than ever. ...