I went with the public-facing server first because external exposure felt like the most obvious attack surface.
Prioritize patching based on risk: first assess the exploitability and potential impact of each server, then apply the principle of least privilege and defense in depth. Typically, the public-facing server is patched first due to its exposure to external attackers, but consider the sensitivity of data and regulatory requirements for the production database. Communicate your reasoning clearly, showing you weigh factors like exposure, data sensitivity, and business continuity.
Pro tip: Mention that you would check for active exploitation or indicators of compromise before patching, as that could change the priority. Also, emphasize the importance of having a rollback plan and testing patches in a staging environment to avoid downtime.
Evaluate how easily each server can be attacked and whether the vulnerability is remotely exploitable. The public-facing server is likely the most exposed, making it a prime target.
Consider the type of data on each server: PII on the production database could lead to severe legal and reputational damage if breached. The internal file share may have less sensitive data but could still be a pivot point.
Determine if patching one server could disrupt critical services. For example, patching the production database might require downtime, affecting applications. Balance security with availability.
Combine exposure, data sensitivity, and business impact to assign a risk score. Typically, the public-facing server is patched first, but if the database is actively targeted or contains highly sensitive data, it might take precedence.
If immediate patching isn't possible for all, apply temporary mitigations (e.g., firewall rules, network segmentation) to reduce risk while scheduling patches. Always test patches and have a rollback plan.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.