ClearSkies™ AI-SecOps Autonomous Analysts

Every Tactic Triaged. Every Action Scoped.

Every AI-SecOps Autonomous Analyst operates inside a policy-governed framework in which authority is explicit, actions are bounded and oversight is continuous.

  • Scoped

    Authority defined per tenant, asset class and risk level

  • Auditable

    Decisions, evidence and actions documented through the TDIR Engine

  • Supervised

    Human control raised from execution to supervision

Governance and human oversight

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.

  • Scoped authority

    Each AI-SecOps Autonomous Analyst acts only within the autonomy boundaries defined for a given tenant, asset class and risk level.

  • Alignment to business risk

    Every action is mapped to a business outcome and, where relevant, to a compliance framework.

  • Full auditability

    Decisions, evidence and actions are documented automatically through the TDIR Engine, producing a record that stands up to review.

  • Escalation by design

    Confidence, severity and policy thresholds trigger hand-off to a human with complete context, and analysts and managers validate, override and tune autonomous behavior.

Human and autonomous, side by side

What the human analysts keep, and what the workforce takes on.

DimensionHuman analystsThe AI-SecOps Autonomous Analysts
FocusHigh-risk, complex and novel cases, and customer advisoryRoutine and low to medium risk detections, at volume
AvailabilityShift-based, finite capacityContinuous and elastic, on demand
Role in service commitmentsOwn critical and escalated casesEnforce commitments across the queue
LearningProvide feedback and set boundariesImprove continuously from outcomes and feedback
ControlSupervise, override and governAct within the authorized, policy-governed scope

How the role deepens

The role of the workforce deepens as an organization moves along the autonomy curve, mirroring the platform’s progression from an augmented to an autonomous security operation.

The phase in force is a configuration decision, made per tenant.

  1. Augmented

    They summarize, enrich, recommend and draft, while analysts decide and act.

  2. Hybrid

    They act with human approval, performing semi-automated remediation and guided containment under supervision.

  3. Autonomous

    They act independently within scope, enforcing service commitments and executing response, escalating only exceptions and high-risk cases.

What the AI-SecOps Autonomous Analysts do not do

  • 01

    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.

  • 02

    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.

  • 03

    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.

How the exchange with the TDIR Engine works · Commercial and licensing

Autonomy without governance is a liability.

Authority is explicit, actions are bounded, and oversight is continuous. Human control is raised rather than removed, from manual execution to supervision.

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