Explainable AIscam detection builtfor platforms and compliance teams.
Turn vague AI alerts into clear, actionable insights. Stay compliant, protect your users, and scale your trust infrastructure.
Why use Riskor?
Built for transparency and scale — explainable decisions, policy alignment, and real-time performance.
Aligned with global policies
BoostLayer mapped to global policies — audit-ready and defensible.
Reasoning without LLM
Industry-leading clarity, powered by deterministic rules.
Real-time API
average 100ms responses for moderation at production scale.
Compliance-ready, designed from documented patterns
Riskor’s fraud-language framework is designed from publicly documented scam patterns by regulators (FTC, SEC, FCA) and the EU DSA, plus major platform guidelines. Each decision produces explainable, audit-ready rationale — without black boxes.
- Traceable: each flag includes category, highlighted cues, and public source references (pattern-level).
- Defensible: white-box reasoning your compliance and legal teams can audit.
- Operational: exportable reports and event logs for review workflows.
LLM-free moderation for high-risk platforms
Deterministic, audit-ready outcomes across fintech, marketplaces, social, and messaging.
Fintech
Investment scams, fake dashboards, payment manipulation.
- Mapped to SEC / FTC
- Deterministic flags (LLM-free)
- Review-friendly exports
Marketplaces
Fake listings, impersonation, refund/chargeback abuse.
- Real-time API <300ms
- Audit-ready reasoning
- Works with trust pipelines
Dating & social
Romance scams, grooming, crypto baiting.
- Policy-mapped outputs
- Human-readable rationales
- Early-risk signals
Messaging
Spam rings, multi-turn persuasion patterns.
- Conversation-level signals
- Scales to high throughput
- LLM-free at runtime
LLM-free moderation for high-risk platforms
Deterministic, audit-ready outcomes across fintech, marketplaces, social, and messaging.
Fintech
Investment scams, fake dashboards, payment manipulation.
- Mapped to SEC / FTC
- Deterministic flags (LLM-free)
- Review-friendly exports
Marketplaces
Fake listings, impersonation, refund/chargeback abuse.
- Real-time API <300ms
- Audit-ready reasoning
- Works with trust pipelines
Dating & social
Romance scams, grooming, crypto baiting.
- Policy-mapped outputs
- Human-readable rationales
- Early-risk signals
Messaging
Spam rings, multi-turn persuasion patterns.
- Conversation-level signals
- Scales to high throughput
- LLM-free at runtime
Riskor vs. Generic LLM
Deterministic clarity for high-risk content moderation. Compare two enterprise-critical dimensions: policy mapping and static reasoning.
Cut compliance costs while increasing review speed and accuracy
Riskor’s explainable fraud-language detection reduces manual hours, prevents costly false positives, and aligns with international regulations — without scaling headcount.
Lower Review Costs
Automate repetitive checks so cost per review drops 30–50% as volumes grow.
Less Manual Review Time
BoostLayer highlights cues and rationale instantly, enabling your team to make faster, informed decisions — without removing your final review control.
Reduce Regulatory Risk
Produce explainable, audit-ready outputs mapped to publicly documented patterns (FTC, SEC, FCA, EU DSA), so your compliance team can confidently decide whether to approve, flag, or block content.
Secure your platform with BoostLayer
Mapped to enforceable policies. <300ms at edge. Exportable reasoning.