The queue is the bottleneck, not the detection
An alert can be useful and still sit unreviewed in a busy queue. Detection and triage both need attention: coverage gaps miss activity, while poorly prioritized findings delay investigation.
Aktoh's fleet model assigns different roles to monitoring, authorized verification, and coordination. Assess supported connections and the evidence behind a conclusion before relying on an automated finding.
Autonomy stops where consequence starts
Consequential actions require approval by default, including isolation, production changes, and third-party contact. Define the authorized scope and permitted action classes before granting access. Approval records support review, but not every real-world action can be reversed.
Automation can support evidence gathering without taking over the decision. Its usefulness depends on reliable inputs, tested controls, and an accountable reviewer—not simply on calling it autonomous.
What it costs to try
The Adventurer plan is a $0 platform fee with unlimited nodes; you pay the cost of the AI models used plus $5.00 per million tokens of AI work. Teams that run enough volume move to a pooled plan where the token rate falls as low as $1.55.
Takeaway. If your security spend buys more alerts than answers, you are funding the bottleneck.