Safety and security
AI application security and misuse defence
AI application security and misuse defence protects software connected to models and reduces unauthorised use. It covers hardening products, testing them under authorisation, watching for abuse and guarding the assets that matter most. AI companies need it because models now act on real systems and data.
Models now sit inside products, call tools and act for users, so every connection is a new way in. Attackers have noticed. Demand is forming across hardening, testing, detection and policy. The hires are tricky because the field is young. Most strong candidates come from application security, threat detection or security research, and they must learn model behaviour quickly. Defensive work also needs defined scope and authorisation, so judgement matters as much as skill.
Roles in this family
9 roles
Where the people come from
Application security, threat detection or security research
Not to be confused with. Defensive work requires defined scope and authorisation.
Core skills
Where it is used
Routes in and out
People move on to
- AI control, monitoring and containmentAdd agent control evaluation and sandbox threat modelling
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