Strategy question
Lovable wants security to be a product differentiator, not just a compliance checkbox. How would you map the highest-risk security gaps across Lovable-generated apps, rank them across severity, prevalence, and user impact, and decide what to address first in areas like vulnerable generated code, prompt injection, and insecure defaults?
- Lovable
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Whether you can build a rigorous security prioritization framework for an AI code-generation platform where risk spans many different failure categories.
How to approach it
- Map the highest-risk categories explicitly: vulnerable generated code (for example insecure auth patterns), prompt injection (an attacker manipulating the generation process itself), and insecure defaults (apps shipping open by default).
- Score each category on severity (worst-case impact if exploited), prevalence (how often it actually appears in real generated apps, checked with data, not assumption), and user impact (how many end users of generated apps would be affected).
- Rank vulnerable generated code and insecure defaults highest if they show up frequently in real output, since both are common, both are directly exploitable, and both are fixable at the generation or scaffolding layer.
- Treat prompt injection as high-severity but likely lower-prevalence today, warranting monitoring and defense-in-depth rather than the first investment, unless real incident data says otherwise.
- Translate the ranked list into a roadmap sequence: secure scaffolding defaults first (cheap, broad impact), then targeted static analysis for common vulnerable patterns, then dedicated prompt-injection defenses.
- Revisit the ranking regularly using real incident and flag data, since prevalence will shift as the platform's usage and generation capabilities evolve.
What a strong answer includes
- Uses severity, prevalence, and user impact as three explicit scoring dimensions and shows how they would resolve a ranking, not just naming the dimensions.
- Makes a defensible call to prioritize common, fixable issues (defaults, generated code patterns) over rarer but scarier ones (prompt injection) based on real-world prevalence.
- Sequences the roadmap from cheap and broad (secure defaults) to more specialized (prompt-injection defenses), a sensible cost-to-impact ordering.
- Builds in periodic re-ranking based on real incident data, avoiding a static, one-time prioritization.
Common mistakes
- Ranking purely by theoretical severity without checking real prevalence data.
- Treating prompt injection and insecure generated code as equally urgent without justification.
- No plan to revisit the ranking as usage and generation capability evolve.
Likely follow-up questions
- How would you gather real prevalence data for each risk category?
- What would make you elevate prompt injection above the other categories?
- How would you communicate this prioritization to enterprise buyers evaluating security as a differentiator?
More strategy questions
- How would you redesign Lovable's credit-based pricing to reduce bill shock?Lovable · Strategy · Hard
- How would you reduce the number of credits it takes to build a working CRUD app?Lovable · Strategy · Hard
- How should Lovable retain users after they build their first app?Lovable · Strategy · Medium
- How would you compete with v0 (Vercel) and Replit?Lovable · Strategy · Hard
- Lovable serves both hobbyists and enterprise teams, and the agent roadmap includes shiny new capabilities as well as less visible reliability work. How would you decide when to ship new functionality versus pause to invest in foundational quality, and what decision framework would you use to make that tradeoff?Lovable · Strategy · Hard
- Google Keep is a free product to save, share notes etc. How would you make it a subscription product & monetize it?Google · Strategy · Hard
More questions from Lovable
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovering and Sizing AI Opportunities
- Chapter 9: Measuring AI Product Economics
- Chapter 14: Interviewing for AI PM Roles