AI browser security checklist for Customer Support Teams

The ai browser security checklist adapted for customer support teams. Body, role-specific tweaks, common pitfalls, and how to run it with Strawberry.

AI browser security checklist for customer support teams

This is the ai browser security checklist adapted for customer support teams. It exists because spending too much time on admin, and the checklist below is the shape that actually survives contact with how customer support teams work day to day.

What this checklist is for

Purpose: evaluate the security posture of an AI browser before rolling it out to a team. For customer support teams specifically, the value is that it turns a recurring admin task into a 5-minute repeatable artifact. This isn't a generic template - the items below are tuned for customer support teams and the tools they actually live in.

The ai browser security checklist (checklist)

  • Auth and session handling (where do credentials live, how are they isolated)
  • Data residency and retention (logs, screenshots, transcripts)
  • Permissions model (what can the agent click, send, delete)
  • Audit and revocation (can you see what was done, can you undo)
  • Vendor risk (SOC 2, GDPR, sub-processors)

Adjustments for customer support teams

customer support teams typically live in . That changes how this checklist runs:

  • Pull the inputs from the apps customer support teams actually use, not generic SaaS exports.
  • Anchor on recent activity in the prospect or company - it's the highest-signal field for this role.
  • Skip items that don't apply to your weekly cadence; this is a starting shape, not a contract.

The most common way to mess this up

Treating 'enterprise plan' as a security review - it isn't, you still need answers per row. For customer support teams, this shows up as spending the saved time on more admin instead of higher-leverage work. Build the checklist into your week, not as a one-off.

How Strawberry runs this checklist

Strawberry isolates browser context per session, requires human approval before irreversible actions, and publishes its sub-processor list - the checklist gets clear answers, not vendor PR. For customer support teams, Strawberry uses your live tabs and connected apps - so the checklist is filled with your real context, not a placeholder.

When to use this, when to skip

Use this checklist when the work recurs (weekly, per-prospect, per-meeting). Skip it when the situation is novel and judgment-heavy - the checklist is a baseline, not a substitute for thinking.

Caveats

Strawberry holds back on sending email, updating CRM records, or changing shared systems until a human approves the action. Treat the agent as a fast first-draft author, not an autopilot.

AI browser security checklist

1 auth and session handling

Step 1

auth and session handling (where do credentials live, how are they isolated)

2 data residency and retention

Step 2

data residency and retention (logs, screenshots, transcripts)

3 permissions model

Step 3

permissions model (what can the agent click, send, delete)

4 audit and revocation

Step 4

audit and revocation (can you see what was done, can you undo)

5 vendor risk

Step 5

vendor risk (SOC 2, GDPR, sub-processors)

FAQ

How long does this checklist take to fill out?

For customer support teams, a first pass runs in 10-20 minutes. With Strawberry doing the data pulls, it drops to 2-5 minutes per artifact.

Can I customise this for my team?

Yes - the shape above is a starting point. Strip items that don't apply, add items that match your weekly cadence.

What is the biggest mistake?

Treating 'enterprise plan' as a security review - it isn't, you still need answers per row.