CyberHalluciNet CHN
Launch local lab

Planning tools

Evaluate CyberHalluciNet

Illustrative planners for SOC capacity and scrubbed threat families. Not performance benchmarks or customer guarantees.

1 · SOC capacity

Model triage capacity recovery

Estimate potential hours addressed if high-fidelity decoy signals reduce routine alert triage load. User-configured planning estimate only.

User inputs

Projected annual hours addressed

—

Hours / year (Planning estimate)

Projected operational value

—

Labor value / year (Planning estimate)

Request a guided lab POC

Methodology & non-claim: illustrative scenario planner only.

2 · Social / CTI sample

AI threat radar

Scrubbed aggregate adversarial AI / deception TTP families — no raw sessions or sensor IDs. Sample data below is illustrative; production export is opt-in via Ops Threat Radar APIs.

Sample · GLOBAL_PUBLIC scrubbed

    Threat Radar

    Methodology

    Public Threat Radar and the free CTI API stub publish scrubbed aggregates only. They are not a production AGTI feed and do not claim actor attribution.

    Inputs

    • Deterministic ATT&CK technique IDs and coarse behavior families from Ops Investigate / AGTI extractors.
    • Counts are session-aggregate tallies, never raw session transcripts.

    Data Scrubbing Policy (SEC-AG-004)

    Before leave-tenant publication, every payload passes agti.ScrubEgress:

    • Opt-in required (opt_in / opt_in_public).
    • Jurisdiction filter (closed set: EU, US, UK, APAC, GLOBAL_PUBLIC).
    • Fail closed on blocked field classes and values: internal/private IP, internal hostnames, usernames/emails, sensor/session identifiers.

    Non-claims

    • No production AGTI maturity claim from radar publication alone.
    • No automatic containment, IPS push, or regulatory filing from radar cells.