F-Secure Releases AI Harms Taxonomy Mapping 26 Consumer Risks
F-Secure has published a structured AI Harms Taxonomy that catalogues 26 discrete ways AI systems can cause consumer harm, tracing how harm propagates from misleading chatbot outputs through to compromised autonomous agents. The framework gives defenders a shared vocabulary and intervention map, enabling security teams to systematically identify where in an AI pipeline controls can be applied rather than reacting to incidents in isolation. The taxonomy does not yet prescribe technical controls or vendor-specific mitigations, meaning organisations will need to invest in translating the framework into operational playbooks.