CERI: Constraint-Embedded Regulatory Intelligence
CERI injects governance constraints at inference time, not post-hoc. Instead of filtering or redacting LLM outputs, CERI embeds regulatory intelligence directly into the model's context window -- making compliance part of the generation itself.
How CERI Works
Governance at inference, not after the fact
Framework Selected
The user or workspace selects which regulatory frameworks apply: EU AI Act, GDPR, DORA, or any of 50+ supported frameworks.
Constraints Embedded
CERI maps framework requirements to specific inference constraints and injects them directly into the LLM context window.
LLM Generates Response
The LLM generates its response with governance constraints already present in its context -- compliance is part of the generation, not an afterthought.
Governance Baked In
The response is natively compliant. No post-processing filters, no redaction. The governance intelligence is embedded in the output itself.
CERI Capabilities
Embedded regulatory intelligence for every AI interaction
Multi-Framework
Apply constraints from multiple regulatory frameworks simultaneously. EU AI Act + GDPR + DORA in a single query.
Inference-Time Injection
Constraints are injected before the LLM generates its response, not applied after the fact. True embedded governance.
No Post-Processing
Unlike filter-based approaches, CERI does not redact or modify LLM outputs. The response is compliant from generation.
Cross-Framework Mapping
Automatically maps overlapping requirements across frameworks. A single constraint can satisfy multiple regulations.
Dynamic Updates
When regulations change, CERI constraint sets update automatically. No code changes required -- governance stays current.
Zero Latency Impact
CERI adds governance without measurable latency impact. Constraint injection is optimized for streaming responses.
136days until enforcement
Experience Embedded Governance
See how CERI transforms your AI compliance from post-hoc filtering to native governance.