Nova AI-Native Autonomous Cloud Defense Platform
BY HANSEC

Understand Nova ACDP and its seven engines

Understand each Nova engine's role in behavior analytics, alert prioritization, detection improvement, investigations, pattern analysis, attack simulation and response.

Engine availability depends on the Nova edition, deployed version, customer scope, and enabled capabilities confirmed for the environment.

Inside Nova

Why NovaSignal prioritized an alert Review the alert score alongside severity, confidence and the security signals that contributed to the assessment.
Why NovaSignal prioritized an alert
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NADE detection proposals Review AI-proposed detection rules awaiting analyst assessment. Proposals remain separate from active detection rules.
NADE detection proposals
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Velora security assessment Review the current Security World State, evidence completeness, connected risk themes, affected entities, uncertainty and decision authority. Velora explains what the evidence supports and does not authorize an action.
Velora security assessment
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One platform with seven clear responsibilities

Nova ACDP connects seven specialized engines. Each has a different job, from finding unusual activity to investigating incidents or managing response. They can use related findings, but an analysis from one engine does not authorize an action in another.

This separation matters during evaluation. A behavior change is not a risk verdict, a score is not a finding, a proposal is not an active rule, a modeled path is not an observed attack, and a recommendation is not permission to act.

The seven Nova engines

Qyronis
Learns the normal behavior of identities and assets, then highlights unusual changes with supporting evidence, confidence and coverage information.
NovaSignal
Prioritizes supported alert evidence with an explainable score, contributing factors, confidence, and historical movement.
Nova Autonomous Detection Engine
Finds gaps in detection coverage and drafts proposed improvements. Proposals stay inactive until they pass the required review and approval.
Velora
Brings related events, identities, assets and earlier findings into an investigation, with guidance on what to check next.
Velora Federated Patterns
Ranks recurring platform-observed patterns into hunt, priority, or coverage proposals during controlled preview.
Red-team Adversary eXecution Engine
Explores possible attack scenarios and expected activity without launching an attack or changing the protected environment.
Nova Detection and Response eXchange
Manages supported response actions with checks for customer access, policies, required approvals and recorded results.

How the engines can coordinate

The engines do not have to run as one fixed chain. Nova connects them when the use case and available evidence justify it. The handoff keeps the source, quality state, uncertainty, and intended consumer attached.

  1. 01
    Observe

    Collect source-linked activity, assets, findings, and threat context.

  2. 02
    Assess

    Use the appropriate engine to measure behavior, priority, coverage, or a security hypothesis.

  3. 03
    Connect

    Review related identities, assets, timelines and evidence in the same investigation.

  4. 04
    Decide

    The responsible team reviews the findings and controls approvals and response permissions.

  5. 05
    Record

    Retain the supported outcome and the evidence used to reach it.

Evaluate each engine against a real question

  • Use Qyronis when the question is what changed for an entity and whether the baseline is mature enough to interpret it.
  • Use NovaSignal when the question is which supported alerts deserve attention first and why.
  • Use the Nova Autonomous Detection Engine when the question is where observed evidence indicates a detection-coverage opportunity.
  • Use Velora to investigate related activity, review earlier findings and identify what still needs checking.
  • Use Velora Federated Patterns when controlled-preview recurrence could sharpen a hunt, priority, or coverage question.
  • Use the Red-team Adversary eXecution Engine when the team needs to challenge coverage assumptions with a non-destructive adversary hypothesis.
  • Use Nova Detection and Response eXchange when an approved decision must reach a supported provider outcome under explicit controls.

Shared boundaries that protect decision integrity

  • Missing or stale evidence remains visible and does not become a low-risk conclusion.
  • Scores, hypotheses, proposals, and recommendations remain linked to their supporting evidence and quality state.
  • Preview and assisted capabilities do not imply general availability or inclusion in every customer environment.
  • An AI recommendation does not authorize a response. Required permissions and approvals are checked before an action runs.

Useful links

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