ClearSkies™ AI-SecOps Autonomous Analysts

Analyst Capacity Without Analyst Headcount.

Service delivery that enforces itself, at machine speed.

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  • Always on

    A workforce that scales on demand

  • Governed

    Every action scoped, mapped and audited

  • Predictable

    Service commitments enforced continuously

Where static automation falls short

Static automation runs the steps it was scripted for and stops where the script ends.

  • Scripted logic only

    A rule-based playbook executes fixed steps and cannot adapt the path to business context, so anything outside its script falls back to a human queue.

  • No reasoning across context

    Automation actions individual alerts, but it cannot correlate them into a single narrative or trace an attack path the way an analyst does.

  • Blind to business impact

    Without knowing which asset, user or tenant is involved, automation treats a critical incident and a benign event with the same priority.

  • Service commitments bound to the roster

    When queues build or demand spikes, response depends on who is on shift, so response times swing with staffing, experience and time of day.

As detection coverage broadens across the endpoint, resolution, exposure, identity and deception layers, the volume and the ambiguity of the work arriving at the security operation outgrow both the scripted playbook and the human roster, and that is where service commitments break.

What the AI-SecOps Autonomous Analysts do instead

The AI-SecOps Autonomous Analysts invert the problem. Rather than executing fixed steps, they reason over the correlated detections the TDIR Engine produces, weigh business impact against detection confidence, run investigations of several steps, and take scoped response actions, handing off to a human when policy or risk requires it.

This is detection and response work performed by judgment under governance rather than by script, and it scales on demand rather than with headcount.

A coordinated workforce, not a single model

The AI-SecOps Autonomous Analysts are software agents that behave like tiered analysts.

  • What they are

    • Rather than one model, they are a coordinated workforce
    • Each instance owns a case routed from the TDIR Engine, follows investigative logic and takes scoped actions across the integrated security controls
    • Each hands off to a human when policy requires it

  • A workforce, not a chatbot

    • The AI-SecOps Autonomous Analysts do not answer questions
    • They own work routed from the TDIR Engine, make policy-governed decisions and act across the security stack
    • They are measured against the same service commitments as their human counterparts

The loop each AI-SecOps Autonomous Analyst runs · The autonomy boundaries

Why ClearSkies AI-SecOps Autonomous Analysts

Four outcomes, and what produces each one.

  1. Service commitments hold when the queue builds

    Queueing ordered by time to breach, and autonomous pickup when no analyst can meet the window.

  2. Capacity grows without proportional hiring, and quality stops varying by shift

    A workforce that is always available and scales on demand, running the same governed loop on every case.

  3. Analyst time goes to judgment, and the evidence is a by-product

    Routine detections are owned end to end, and their case records are written as the work is done.

  4. Autonomy is defensible rather than opaque

    Scoped authority per tenant, asset class and risk level, with every action recorded through the TDIR Engine.

Commercial and licensing

The AI-SecOps Autonomous Analysts are part of the platform and are not sold on their own.

They are licensed by the volume of protected work, meaning the population of tenants and the detection throughput triaged and actioned under the authorized scopes, and the tier structure and commercial terms are on the ClearSkies™ iISOC platform and MSSP platform pages.

  • Part of the platform
  • Not sold on its own
  • Licensed by the volume of protected work
  • Tiers set on the platform and MSSP pages
MSSP platform

Questions Raised in Evaluation

Do the AI-SecOps Autonomous Analysts replace our analysts?

Human control is raised rather than removed, from manual execution to supervision, and every action is recorded through the TDIR Engine as a defensible audit trail. Human analysts retain supervisory control with defined escalation paths.

Do they act on what the other add-ons find?

They never act on another product’s raw intelligence: every signal reaches them as a correlated detection from the TDIR Engine, and every action they take flows back through it.

How much autonomy is granted, and who decides?

Each AI-SecOps Autonomous Analyst acts only within the autonomy boundaries defined for a given tenant, asset class and risk level. The phase in force is a configuration decision, made per tenant.

Predictable delivery, by design.

A platform without an analyst workforce sees and correlates what is happening. A platform with one also triages, decides and acts on it, which makes predictable delivery a property of the platform rather than of headcount.

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