Why grant autonomy in steps?
All or nothing is the wrong choice for an AI SOC. Most platforms that run response natively describe at least two settings: actions that wait for sign-off, and actions that run alone within limits. Prophet Security describes scoped Agent Actions that run autonomously or with your sign-off; 7AI describes guided or automatic response behind approval gates; Mate Security describes three levels, Recommend only, Supervised and Auto-run. Steps let you grant trust where it has been earned and nowhere else.
Signal 1: agreement
In shadow mode, how often did the platform's verdict match your analysts' in this category? Look at the disagreements as well as the rate: were they the platform's errors, or your analysts'?
Signal 2: reversibility
Can the action be undone quickly and completely? Resetting a session or quarantining an email is easy to reverse. Deleting data or disabling a production service is not. Mate scores each action on Confidence, Precision and Reversibility before it runs; whichever platform you use, apply the same question yourself.
Signal 3: blast radius
If the action is wrong, who notices and how badly? Isolating one laptop affects one person. Blocking a domain the finance team uses affects a department. Keep wide-impact actions on sign-off longer.
Signal 4: evidence completeness
Did the platform reach its verdicts with all the sources it needs for this category, or did some investigations end early because a tool was missing? Do not grant autonomy on a category where the platform is working blind.
Signal 5: stability
Has the category behaved the same way for several weeks? A new tool, a reorganisation or a holiday period can change what normal looks like. Wait for a stable stretch.
How to record the decision
For each category and action, write down the current step, the date it moved, the evidence, and who approved the change. Conifers describes this progression as moving from human in the loop to human on the loop after validation; the record is what makes that validation auditable.
What a typical first move looks like
Many teams start with low-impact, reversible actions in high-volume categories: closing duplicate alerts, quarantining a reported phishing email, enriching a ticket. High-impact actions such as account suspension stay on sign-off. That split already removes a large share of repetitive work from a small team.
A note on per-action settings
Categories are not the only unit. The same category can include a safe action and a risky one: a suspicious sign-in may justify resetting a session on its own but not disabling the account. Where a platform allows it, set autonomy per action inside a category, so that one risky action does not hold back the safe ones.