About AISecurityInterviews
Interview preparation for the people who secure AI systems, written to the standard a security team would hold it to.
What this is
AISecurityInterviews prepares engineers, red teamers, researchers, architects and governance leads for AI security interviews. It covers prompt injection and jailbreaks, agent and tool security, LLM application security, AI red teaming, model and data supply chain, privacy attacks on models, and AI threat modeling and governance.
It starts with free, public guides: the worked question bank, the agentic AI security guide, the roles and rounds guide and the glossary. More depth is being added over time.
The editorial standard
- Threat model first. Every answer names the asset, the attacker, the entry point and the trust boundary before it proposes a control.
- Mechanism over product. Controls are explained by what they stop and how they fail. Products are named only as examples.
- Controls that survive a fooled model. Where a defence depends on the model behaving, the answer says so, and pairs it with one that does not.
- Primary sources. Claims trace to standards bodies, the original research or the maintainers' documentation.
- Dated facts. Anything that changes quickly carries the month it was checked.
- No fabrication. No invented interview loops, no "asked at company X", no made-up statistics or testimonials.
Sources we rely on
- OWASP GenAI Security Project, including the Top 10 for LLM Applications
- MITRE ATLAS
- NIST AI Risk Management Framework and the NIST AI 100 and 600 series
- ISO/IEC 42001
- The EU AI Act, Regulation (EU) 2024/1689
- Peer-reviewed and preprint research, cited on the page where it is used
Independence
AISecurityInterviews is independent. It is not affiliated with, endorsed by or sponsored by any employer, vendor or standards body named on the site. Names of companies, products and frameworks are used only to describe them.
Sister sites
AISecurityInterviews is part of a family of focused interview preparation sites, each staying inside its own subject:
- FDEInterviews for forward deployed engineer interviews
- AIInfraInterviews for AI infrastructure interviews
- InferenceInterviews for inference, ML systems and GPU kernel interviews
- AIPMInterviews for AI product manager interviews