Autonomous protection infrastructurefor vulnerable populations.
Detection to prosecution, autonomously. Guardii operates as the protection layer between platforms and prosecution — processing communications, classifying threats, and routing evidence-grade escalations to your authority. Humans are engaged only at decision points where their judgment is decisive.
backedThe volume has outpaced the workforce.
Online grooming, sextortion, and predatory exploitation of children has increased more than 3,600% since 2020. The vast majority of incidents go unreported. By the time a human reviewer sees the case, harm has already occurred.
Traditional moderation depends on keyword lists, known-bad hashes, and a human safeguarding workforce that cannot scale to meet demand. The work that used to require an entire safeguarding workforce is now done by software — humans are called only when the call matters.
The system does the safeguarding.The authority is engaged only when judgment is decisive.
Detection, classification, escalation, and evidentiary packaging run autonomously. Human judgment is engaged only at decision points where it adds value.
Ingestion
Communications stream in
Messages, public comments, and DMs ingested across integrated platforms. No human review.
Detection
Behavioural ontology
Proprietary ontology scores intent, escalation, and grooming sequences. Context-aware. No human review.
Classification
Severity & tier
Each event tiered by severity, evidentiary value, and jurisdictional fit. No human review.
Evidentiary Packaging
Tamper-evident
Tamper-evident packages compiled with full audit trail. Prosecution-ready. No human review.
Authority Escalation
Human in the loop
Routed to your designated authority. The human is engaged only at the decision point — where their judgment is decisive.
Detection-to-prosecution. Autonomous by default. Authority-in-the-loop by design.
Threat Intelligence Dashboard
Real-time behavioural intelligence feed — evidence-grade output for active investigations
Live Threat Feed
Stage 4/5 — isolation tactics detected. Suspect requesting platform migration to encrypted channel.
4 linked accounts identified. Cross-referencing with NCMEC CyberTipline. Coordinated targeting of males 12-16.
Trust-building & gift-offering patterns. Anomalous adult-to-minor contact frequency. 14 messages over 3 days.
Known offender flagged across 3 jurisdictions. INTERPOL notify triggered. Active contact with 2 minors.
Sock puppet network operating across 3 countries. Coordinated CSAM distribution via encrypted channels. NSA SIGINT correlation flagged.
Evidence-Grade Output
Tamper-evident packaging with full chain of custody — ready for prosecution.
Covert Operation
No suspect or victim alerting. Preserves evidence integrity for intervention.
Behavioural Intelligence
Proprietary ontology detects intent and context — not just keywords or hashes.
The scale of the threat.
Online child exploitation is accelerating at a pace that outstrips human review capacity.
Increase in online grooming since 2020
Increase in sextortion targeting minors
Of cases begin in DMs & public comments
Of incidents ever reach authorities
Global rise in online grooming
SOURCE: NCMEC CyberTipline Reports, 2020–2025
Financial sextortion reports — minors
SOURCE: NCMEC CyberTipline, 2022–2025. *2025 H2 projected from H1 actual (23,593).
Behavioural intelligence — not a content filter.
The system detects and classifies predatory behaviour autonomously. A proprietary behavioural ontology — built from real case data — models grooming sequences, escalation signals, and manipulation tactics. The system understands intent and context, not keywords. Threats invisible to conventional tools are surfaced, classified, and routed without human review at every step.
Grooming sequences across direct messages and public comments
Predatory escalation patterns and isolation tactics
Sextortion attempts and coercive behaviour
Platform migration requests — a key indicator of predatory intent
Anomalous adult-to-minor contact patterns
Trust-building and gift-offering sequences preceding exploitation
Detection-to-prosecution. Routed direct to authority.
In authority deployments, the system performs detection, classification, escalation, and evidentiary packaging autonomously. Verified threats route directly to the designated unit — no intermediaries, no delay. Workflows, thresholds, and evidence formats configure to local legal frameworks. Guardii adapts to the jurisdiction — not the other way around.
Direct Authority Escalation
Threats route to your designated unit — police, child protection, cybercrime, or national security — without delay or intermediary.
Evidence-Grade Output
Tamper-evident packages with full chain of custody and audit trails — packaged autonomously, ready for prosecution.
Covert Operation
Alerts reach authorities without notifying the child or suspect — preserving evidence integrity for optimal intervention.
40+ Languages & Dialects
Detection models fine-tuned across major world languages and regional dialects for accuracy across diverse populations.
Jurisdiction-Configurable
Routing, thresholds, notifications, and evidence format configure to your legal framework and operational requirements.
Proprietary Behavioural Ontology
Structured model of predatory patterns built from real case data. Understands intent and context — not just content.
Your infrastructure. Your data. Your control.
Safeguarding-as-a-service runs inside your perimeter. Data, evidence, intelligence, and operational signal stay within your jurisdiction. A quarterly maintenance arrangement covers model retraining, security updates, new platform integrations, and dedicated engineering support — ensuring the system evolves alongside emerging threats.
Full local hosting on your infrastructure.
Sovereign or accredited cloud deployment.
Split processing across cloud and edge.
Limited-scope deployment ahead of full rollout.
The protection layer between platforms and prosecution.
Social media platforms — direct messages and public comments. Discord — native API integration. Additional platforms on the active development roadmap.
Every language a victim might speak.No locale out of scope.
Detection models are fine-tuned across major world languages, regional dialects, transliterated text, and code-switching across scripts. Whatever language predators use, the system reads it.
Detection // Classification // Escalation — in any language the population speaks.
Protecting children is a shared global responsibility.
We work with police forces, child protection units, cybercrime authorities, and national security agencies to deploy autonomous protection infrastructure at scale. We welcome briefings with any agency or jurisdiction committed to protecting children online.
Engage the deployment team
Ready to evaluate a deployment for your agency? Reach out directly.
// Direct
cam@guardii.ai