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Start with the pressure: sales, launch, abuse, agents, data, or guardrails

Workforce Readiness · CORE Interview Practice

CORE Interview Practice

Technical and behavioral interview practice for AI security roles using scenario judgment, STAR evidence, role-specific prompts, and structured feedback.

Practice modes

Technical scenario judgment

Work through AI security scenarios: RAG boundaries, agent authority, prompt injection, and secure AI SDLC decisions.

Behavioral STAR practice

Build evidence stories for hiring conversations using the Situation, Task, Action, Result framework.

Role-specific interview loops

Practice sequences calibrated to AI Red Teamer, Product Security Engineer, RAG Security, and Governance roles.

Evidence-story mining

Extract and structure past work into interview-ready evidence for specific role requirements.

Hiring manager rubric alignment

Understand what hiring teams evaluate and align practice to those criteria.

Candidate coaching notes

Structured feedback on gaps, strengths, and next practice areas.

AI security roles

AI Security EngineerAI Product Security EngineerAI Red TeamerRAG Security EngineerAgentic Workflow Security EngineerAI Governance Security Lead

Outputs

  • Practice prompt set
  • STAR story bank
  • Interview-readiness notes
  • Role-specific gap list
  • Recommended training path