Ai-Security

The OWASP GenAI LLM Top 10 2026 was published on August 3, 2026. I am still learning my way around AI security, and I read OWASP Top 10 lists because they are the closest thing the industry has to a consensus map. They are not academic papers. They become the basis for threat models, security review checklists, and procurement questions. The GenAI edition specifically maps the risks that matter when you build applications around large language models. ...

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. ...