A CISO's Guide to Running an AI SOC Proof of Value

An AI SOC proof of value (POV) that scores only first verdicts, with no context, measures a setup you won't run in production. This guide's four-week plan tests two or three vendors on your own alerts and scores each one again once it has your context and your analysts' corrections. A final chapter covers your first 90 days.

5 Key Learnings

• Limit the POV to Two or Three Alert Types: Pick the ones that take your analysts the most time and that the POV can read data for, then set a numeric target for each against a baseline of 20 to 30 closed alerts.

• Test Every Vendor on the Same Control Cases: Write down each case's verdict and reasons before testing starts, then run the cases in the same order, with the same reviewer, for every vendor, so score differences come from the platforms.

• Score Each Case With and Without Your Context: Run each case bare, then again with your asset values, account owners, runbooks, and past decisions, to see how much each platform uses that context.

• Fail Any Vendor That Closes a Malicious Look-Alike: After each approved correction, mix two benign variants and two malicious look-alikes into your routine replays. One closed look-alike fails the vendor.

• Count Only the Changes That Wait for Your Approval: A proposed detection tuning or benign pattern counts only if it states the pattern, the cost, and the steps, and waits for your team's approval.

Download the ebook now to take the scoring sheet and the decision rule into your next AI SOC evaluation.