Principal Consultant, AI Assessments, Proactive Services (Unit 42)
Their tip for the next candidate
“Traditional cybersecurity knowledge is a strong foundation, but this interview expects candidates to be comfortable discussing AI-specific security concepts in depth.
Review topics like OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF, prompt injection, model inversion…”
The candidate, after the interview
How it went
The interview lasted about 45–60 minutes and was split between AI security technical questions and behavioral consulting questions.
The interviewer was friendly, conversational, and gave opportunities to clarify answers. Technical questions focused on AI-specific security concepts rather than traditional cybersecurity. Topics included training data poisoning, model inversion, third-party AI chatbots, Hugging Face model risks, malware scanning, governance, PII leakage, and AI security controls. The behavioral portion focused on consulting experience, stakeholder management, project delivery under tight timelines, and adaptability. The interviewer also welcomed thoughtful questions about the team’s AI security assessment methodology and current client challenges. Overall, the interview emphasized both consulting skills and a strong understanding of emerging AI security concepts
Filed under Fast feedback, Well-organized, Respectful, Great culture
- 1Explain the difference between training data poisoning and model inversion.
- 2What security responsibilities belong to an organization versus a third-party chatbot vendor?
- 3What are the risks of using a pre-trained model from Hugging Face?
