ClearSkies™ AI-SecOps Autonomous Analysts
The Queue Never Waits for a Free Analyst.
Each AI-SecOps Autonomous Analyst executes a closed loop that mirrors the human analyst lifecycle and compresses it.
Six steps
Intake through learning, on every case
In parallel
Continuous, across all the work routed from the TDIR Engine
Against the clock
Ordered by risk and by how close work is to breaching
Two capabilities work together on a single unit of work
Generative AI, the understanding
It interprets raw telemetry, summarizes evidence from several sources into a readable narrative, drafts investigation notes and customer updates, and translates technical findings into business-risk language.
Agentic AI, the judgment and the hands
It decides which detections matter, runs investigations of several steps, chooses a containment path from the business context, executes response across the other add-ons, SOAR and the service-management tooling, and learns from every outcome.
Six steps, run continuously and in parallel
Prioritization scores the detection with the platform’s Risk Scoring Formula, against business impact, detection confidence, ATT&CK relevance and customer context, and the enrichment that follows draws on the context iCollector and the TDIR Engine have already gathered.
Figure 1. The six-step loop, and the exchange with the TDIR Engine. Steps 4, 5 and 6 write back, which is what closes the loop.
Investigation time compresses from hours to minutes, the decision is consistent regardless of which analyst instance handles the case, and every action is documented by default.
Enforcing service commitments
The defining role of the AI-SecOps Autonomous Analysts is to keep service delivery predictable under pressure.
An intelligent process tracks the number and the age of the pending detections in the TDIR Engine’s queue against each customer’s commitments for response and investigation, and it assigns, reassigns, escalates or reprioritizes work to them to fulfil those commitments.
Queueing aware of time to breach
Work is ordered not only by risk but by how close it is to breaching, so the most time-critical detections are actioned first.
Autonomous pickup
When no human analyst can meet the window, an AI-SecOps Autonomous Analyst takes ownership immediately rather than letting the clock run down.
Continuous reprioritization
As new information or higher-severity events arrive from the TDIR Engine, the queues are re-ordered across all tenants.
Escalation before the risk materializes
A case that exceeds its autonomy threshold is escalated to the right human analyst, with the full context attached, before the commitment is at risk.
Volume no human roster can absorb
Because the workforce is always available and scales on demand, it absorbs volume no human roster can, so response times hold steady independent of analyst experience, staffing level or time of day.
The boundaries this runs inside · How it exchanges with the TDIR Engine
Predictable delivery, by design.
Service commitments stop depending on who is on shift. The AI-SecOps Autonomous Analysts enforce them continuously, so performance becomes a property of the platform rather than of headcount.
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