I have had this conversation a few times now with partners, and it usually starts the same way. Someone has seen a demo of an AI agent that is supposed to run security tasks on its own, and they want to know how much of that they can actually trust.

enhanced.io is a channel-only Open XDR SOCaaS built exclusively for MSPs, with 400+ integrations across endpoint, network, cloud, identity and IoT/OT. What I have seen work is separating the claim into what is happening today and what is still a roadmap promise, because those two things get blended together in almost every pitch.

Agentic AI versus assistive AI

Assistive AI suggests something and waits for a person to act. Agentic AI takes the action itself, inside whatever boundaries it has been given. That distinction sounds small until you ask what happens when the AI is wrong. With assistive AI, a person catches it before anything happens. With agentic AI, the action has already happened by the time anyone notices.

What agentic tools do today, and what is still a promise

What tends to happen in a demo is you see the best case scenario, a clean incident with a clear answer. What actually ships today across the market is narrower than that. Some agentic tools can genuinely triage and enrich an alert on their own. Fewer can take a containment action, like isolating a host, without a human confirming it first. The gap between the demo and the roadmap is usually exactly where the risk sits.

The risk model: autonomy, approvals, audit trails, blast radius

Before trusting any agentic feature with real access, I think about it across 4 things.

• Autonomy. What can it do without asking anyone first.

• Approvals. Where is the human checkpoint, and can it be skipped under pressure.

• Audit trails. Can you see exactly what it decided and why, after the fact.

• Blast radius. If it gets something wrong, how much of the environment does that touch.

How to evaluate an agentic AI claim

• Ask which specific actions the agent takes without human approval, not what it is theoretically capable of.

• Ask to see an audit trail from a real incident, not a demo environment.

• Ask what the rollback process looks like if the agent takes the wrong action.

• Ask how the blast radius is contained if the agent is compromised or misconfigured.

Where a SOC partner still adds value

Your named Fractional Security Director provides the context and judgement an autonomous agent does not have, and picks up the escalation when something does not fit the pattern. Correlated detection across every surface gives that person the full picture rather than 1 tool's narrow view. The agent can move fast on the routine work. A person still needs to own the calls that do not look routine.