Start as a productized consulting and managed security service: run a fixed-scope AI security assessment for one production or pre-production AI workflow, then deliver a threat model, abuse-case test plan, red-team findings, control recommendations, and implementation support. The service can include lightweight tooling for prompt-injection tests, agent permission review, sensitive-data flow mapping, eval harnesses, and evidence packages aligned to OWASP LLM^? Top 10, NIST AI RMF, MITRE ATLAS, ISO/IEC 42001, and customer compliance needs. Over time, recurring engagements can become a managed AI security program with quarterly retesting and launch-gate reviews.

The hiring signals show many companies creating new AI security, AI GRC, AI red-team, and AI SecOps roles at the same time. Agentic workflows, AI coding tools, and enterprise copilots are moving from experiments into production, creating urgent review and governance work before internal security teams have standardized playbooks.