Your company uses Google Cloud and has publicly exposed network assets. You want to discover the assets and perform a security audit on these assets by using a software tool in the least amount of time.
I don't recall much about contacting Google or vendors for audits. It seems like that would take longer, so I think we should focus on the tools we have at hand.
I practiced a similar question where we had to prioritize asset discovery first. I feel like option D aligns with that, but I'm a bit hesitant about the specifics.
I'm not entirely sure, but I remember something about using security scanners effectively. Is running a platform security scanner on all instances really the best way to go?
I think I'd lean towards option A. Running a platform security scanner on all instances seems like the quickest way to get a high-level view of the security posture.
Hmm, I'm a bit unsure about this one. Should we really be scanning the assets without notifying Google first? Option B seems like the safest approach to avoid any issues.
This seems like a straightforward security audit question. I'd go with option D - it sounds like the most comprehensive approach to identify and scan the external assets.
Okay, I think I've got a handle on this. Option C looks like the way to go - using the DLP API to find the sensitive data and then replacing it with AES-256 encryption. That should effectively anonymize the PII while keeping the full dataset intact for training.
I remember studying that MFN clauses are often analyzed under the rule of reason, but I'm not completely sure if they can be considered illegal without the context of their effects.
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