Define, deploy, and dynamically manage moderation policies at scale. Build customizable rule sets with severity thresholds, category-specific controls, allow-lists, block-lists, human review routing, and full audit logging -- all from a single powerful engine.
Every platform has unique community standards and content requirements. The Intelligent Policy Engine empowers you to define granular moderation rules that reflect your specific needs without writing a single line of code. From broad category filters to hyper-specific conditional logic, the engine adapts to your platform rather than forcing your platform to adapt to it.
Build complex branching rules using a visual decision tree interface. Each node evaluates content attributes, user metadata, or contextual signals, routing content through tailored moderation pathways that match your community guidelines precisely.
Configure numerical thresholds for every content category. Set different sensitivity levels for hate speech, nudity, violence, spam, and more. Fine-tune each threshold independently to balance safety against over-moderation for your audience.
Define entirely separate rule sets for different content categories. Apply strict rules to hate speech while maintaining lenient artistic expression policies, all running simultaneously in the same policy evaluation pipeline.
Maintain curated allow-lists for trusted entities, verified creators, and approved domains. Conversely, build block-lists for known bad actors, prohibited URLs, and banned content patterns. Both update in real time across the global network.
Automatically route ambiguous or high-stakes content to human moderators. Define which confidence score ranges trigger human review, assign reviewers by expertise, and set priority queues based on severity or content type.
Track every policy change with full version history. Roll back to previous configurations instantly, compare policy versions side by side, and maintain a complete audit trail of who changed what and when.
The Intelligent Policy Engine features a visual rule flow designer that lets non-technical team members build sophisticated moderation pipelines. Content enters the evaluation pipeline and passes through a sequence of rule nodes, each performing a specific check against your configured thresholds and category definitions.
Rules can be chained, nested, and combined with boolean logic operators. When a piece of content triggers a rule, the engine determines the appropriate action -- whether that is automatic approval, automatic rejection, flagging for human review, or applying a content label. Every evaluation path is fully configurable, ensuring that your moderation workflow matches the nuanced requirements of your platform.
Key capabilities: Drag-and-drop rule construction, conditional branching, multi-step escalation paths, weighted scoring across multiple categories, and real-time rule simulation with sample content for testing before deployment.
Every content category in the Intelligent Policy Engine is governed by a configurable severity threshold that determines how aggressively that category is moderated. These thresholds operate on a continuous scale from 0.0 to 1.0, giving you precise control over the sensitivity of each moderation category independently.
A low threshold for hate speech detection means the system flags content at the slightest indication of hateful language, ideal for platforms serving vulnerable populations. A higher threshold for the same category allows more borderline content through, suitable for platforms that prioritize broad expression. The engine evaluates content scores against your thresholds in under 10 milliseconds, ensuring zero perceptible latency for end users.
Advanced features: Per-category threshold configuration, context-dependent threshold adjustment based on user reputation or content format, time-of-day threshold variation for live events, and automatic threshold recommendations powered by historical moderation data analysis.
Combine automated intelligence with curated lists and expert human judgment for the most accurate content moderation decisions possible.
Allow-lists let you pre-approve specific content patterns, domains, users, or phrases that should always pass moderation regardless of automated scores. This is essential for platforms with verified creator programs, whitelisted news sources, or approved medical and scientific terminology that might otherwise trigger false positives.
Block-lists provide immediate, deterministic blocking for known harmful content. When content matches a block-list entry, it is rejected instantly without consuming AI inference resources, providing the fastest possible response time for known threats.
Not all moderation decisions can or should be fully automated. The Intelligent Policy Engine routes borderline and high-stakes content to qualified human reviewers, ensuring that the most sensitive decisions benefit from expert human judgment and contextual understanding.
The Intelligent Policy Engine treats your moderation policies as code, applying the same version control principles used in software engineering. Every change to a policy rule, threshold adjustment, or list update is captured in an immutable version history with detailed metadata including the author, timestamp, change description, and approval status.
This comprehensive audit trail is essential for regulatory compliance, particularly under frameworks like the EU Digital Services Act (DSA), which requires platforms to maintain transparent records of content moderation decisions. Version control also enables instant rollback -- if a policy change produces unexpected results, you can revert to any previous version within seconds, minimizing the impact of misconfigured rules on your user base.
Audit capabilities: Immutable change logs with cryptographic signing, diff views between policy versions, automated compliance reports for DSA, GDPR, and other regulatory frameworks, exportable audit trails in standard formats, and integration with external governance and compliance management systems.
Optimize moderation accuracy with data-driven experimentation and ensure global regulatory compliance with region-specific policy configurations.
Moderation is not a set-it-and-forget-it operation. The A/B testing framework lets you run controlled experiments comparing two or more policy configurations against live traffic to measure the impact of changes before full deployment. This scientific approach eliminates guesswork and ensures every policy adjustment improves your moderation outcomes.
Define experiment parameters including the traffic split percentage, success metrics such as false positive rate, appeal rate, and user satisfaction, and the minimum statistical significance required before declaring a winner. The engine automatically allocates traffic, collects metrics, and presents clear results with confidence intervals, giving your trust and safety team the data they need to make informed decisions.
Content moderation requirements vary dramatically across jurisdictions. What is legal in one country may be prohibited in another. The Intelligent Policy Engine supports region-specific policy configurations that automatically apply the correct rules based on the geographic location of content creation, the user's account region, or the audience's primary location.
Built-in regulatory compliance templates cover major frameworks including the EU Digital Services Act, Germany's NetzDG, Australia's Online Safety Act, India's IT Rules, Brazil's Marco Civil, and more. Each template includes pre-configured rules, required response timeframes, mandatory reporting triggers, and audit trail requirements specific to that jurisdiction.
When content enters the Intelligent Policy Engine, it passes through a sophisticated decision routing system that determines the optimal path for evaluation. The router considers content type, source context, user reputation, historical patterns, and current policy configurations to select the fastest and most accurate evaluation pathway.
High-confidence decisions -- content that clearly passes or clearly violates your policies -- are resolved automatically in under 10 milliseconds. Ambiguous content is routed through additional analysis layers including contextual evaluation, user history assessment, and cultural sensitivity checks before a final determination is made. The most complex cases are escalated to human reviewers with full context packages that accelerate manual decision-making.
Routing intelligence: Content fingerprint matching against block-lists, parallel evaluation across multiple policy categories, weighted scoring aggregation, confidence-based routing to human review queues, priority escalation for legally sensitive content, and real-time feedback loops that continuously improve routing accuracy based on decision outcomes.
The Intelligent Policy Engine is designed from the ground up to satisfy the regulatory demands of content moderation across every major jurisdiction worldwide.
The DSA imposes strict obligations on platforms regarding content moderation transparency, user notification, and appeal mechanisms. The Policy Engine includes pre-built DSA compliance workflows that automatically generate transparency reports detailing the number and type of moderation actions taken, the average response time for flagged content, and the outcomes of user appeals. Every automated decision is logged with the specific policy rule that triggered it, the confidence score, and the resulting action, satisfying the DSA's requirement for clear and specific statements of reasons provided to affected users.
Germany's Network Enforcement Act requires platforms to remove manifestly unlawful content within 24 hours and other unlawful content within seven days of receiving a complaint. The Policy Engine's NetzDG module automatically classifies reported content by legal category, starts compliance timers, routes urgent cases to qualified legal reviewers, and generates the mandatory biannual transparency reports. Similar modules handle Australia's Online Safety Act rapid removal requirements, India's IT Rules intermediary guidelines, and Brazil's Marco Civil due process requirements.
Build, test, and deploy custom moderation rules with the Intelligent Policy Engine. Start with a free demo today.