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CROSS-PLATFORM HARM INTEL · RED TEAMING · AI SAFETY

Find the harm before it finds your users.

For platforms, marketplaces, AI builders and regulators.

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01DiscoverMap bad actors, behaviors, networks across platforms 02TestTest like an adversary, not like a checklist 03GovernKnow what your model does under adversarial probing & simulated scenarios

We identify how harms emerge across platforms, test whether platforms & AI withstand real adversaries, and translate that intelligence to enhance user safety & trust.

Lookalike news-site investment lureImpersonation channel networkCoded listings for banned goodsRole-claim jailbreakAge-gate bypassFree-spins gambling funnelLookalike news-site investment lureImpersonation channel networkCoded listings for banned goodsRole-claim jailbreakAge-gate bypassFree-spins gambling funnel

01 · Cross-Platform Harm Intel

Find seed signals → Expand networks
→ Intel, Lead Gen & Signals

SIGNAL ATLAS

Sources

Open web
Social media
Forums & chat
News reports
Dark-web OSINT
API data

Harm intelligence engine

A · SEEDFind the signalKnown clusters · monitoring · themes
B · EXPANDMap the networkGraph analysis · cross-links · account patterns
C · CLASSIFYConfirm the harmExpert review · clustering · mirroring

Intel output

Cross-platform dynamics●
Bad-actor profiles●
Crime & vice networks●
Detection signals●
Enforcement benchmarks●

Signals detected

LIVE

    Illustrative reconstruction of XP Integrity case types. Names, handles, images and figures are invented.

    02 · Adversarial Testing & Red Teaming

    Red teaming that mirrors real-world harm.

    FINDINGS LOG
    Built onHuman expertise · T&S analysts + automationGenAI, VR, social & marketplace surfacesCross-platform OSINT
    1 · OSINTRead the threatOff-platform signals, known actors, ecosystem patterns
    2 · DESIGNBuild the scenarioClient-approved personas and attack paths
    3 · EXECUTEAttack every layerIdentity, content, transaction, enforcement
    4 · REPORTScore and fixRisk-scored findings and remediation priorities
    CoverageAI-driven threatsContent abuseIdentity & accountsAge assuranceRegulatory gaps

    Attack path

    RUNNING

    Execution log

    Technical findings log

    Illustrative
    Risk score—
    Recommended fixes
      Risk reportFindings logOSINT intel brief

      Illustrative scenarios. Personas are synthetic and client-approved; findings describe gaps, never methods.

      03 · AI Safety & Governance

      Deploy safe & responsible AI by simulated testing & adversarial probing

      MODEL EXHIBITS
      INPUTSWhat we testModels · Agents · Apps · Policies
      RISK SCORINGLabel & scorePolicy labels · Score vector
      ROOT CAUSEFind whyData gaps · Alignment drift · RLHF · Prompts
      REMEDIATIONFix itRoadmap · Guardrails
      MONITORINGKeep it fixedRegression tests · Audit reports
      Human in the loopPolicy understandingAdversarial prompt setsRed-teaming expertise

      Exhibit

      Risk scorecard

      Illustrative
      Root cause
      Data & training gaps
      Alignment drift
      Misaligned RLHF
      Prompt management

      Fix & monitor

      Regression
      FIX VERIFIED

      Illustrative reconstructions. Models are named by type only; prompts are paraphrased and unsafe answers are never shown.

      Trusted by Regulators . Social Media Platforms . Marketplaces

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