REAL-TIME PERMISSIONS FOR GENERATIVE & AGENTIC AI
Runtime AI Guardrails & Traffic Optimization.
Ungoverned GenAI and agent workflows leak PII into external models. Token bills spike without warning because no budget or loop limit is set. Control Core enforces spend limits, data boundaries, and tool-call policies at the network layer.
NON-HUMAN IDENTITY · AGENT ACCESS CONTROL
Every enterprise deploying AI agents needs to manage those agents’ identities and permissions. Control Core verifies credentials from your non-human identity systems, then instantly enforces defined policies, or policies auto-generated from gaps. Automated systems only get the access rights they should.
Unregulated Prompt & Vector Data Leakage
RAG pipelines and GenAI apps send prompts and retrieved context to external model providers. Without inline inspection, PII, PHI, and proprietary IP leave your boundary inside those payloads.
Runaway Agentic Loops & AI Bill Shock
Autonomous agents run at high velocity with unpredictable execution paths. No central rate limit or token budget exists across multiple provider accounts. Overspend accumulates silently and surfaces weeks later on the invoice.
AI GOVERNANCE · ENFORCEMENT · SECURITY
From Policy Intent to Runtime Guardrails
Canadian and global AI frameworks compile into live network controls. Every prompt, RAG retrieval, and agentic API call is evaluated in under 5ms.
EXTERNALIZED AI PERMISSIONS
Policy-Driven Governance for Any AI Model
Security and engineering teams set guardrails once for every model and agent in use. Permissions, traffic routing, and token limits apply at the network layer. No model code or application framework changes are required.
Semantic Prompt Caching | Framework Policy Mapping | Multi-LLM Traffic Routing
AI Capabilities in Action
Model Traffic Management & Prompt Caching
Semantic Caching & Intelligent Routing
Repeated queries serve from an inline semantic cache. AI API bills drop and latency falls without touching model code. Route remaining traffic across primary and fallback providers by cost, uptime, and latency.
RAG & Data Privacy Guardrails
Real-Time PII & IP Redaction
Inspect vector retrievals and user prompts in under 5ms. Mask PHI, PII, and proprietary code before payloads exit your compliance boundary.
Agentic Execution & Cost Control
Token-Spend & Loop Interception
Set hard spend thresholds and rate limits for autonomous agents. Terminate runaway loops before they consume infrastructure or execute unauthorized actions.
Governing the Autonomous Enterprise
Enterprise AI runs as autonomous agentic workflows and automated decision loops. Point-in-time checks cannot evaluate their velocity or unpredictable paths. Continuous controls over every AI payload and model interaction are the only defensible architecture.
AIDA & Canadian AI Directives
Control Core maps AIDA trajectory controls and the Directive on Automated Decision-Making into runtime Smart Permissions. Transparency, human oversight, and impact assessment requirements are enforced at the wire.
OSFI Guideline E-23 & ISED Generative AI Code
Maps federally supervised model-risk expectations and Innovation, Science and Economic Development Canada’s Voluntary Code of Conduct on Generative AI Systems into live traffic policies for regulated Canadian enterprises.
NIST AI RMF & ISO/IEC 42001
Compiles NIST AI RMF and ISO/IEC 42001 trustworthiness, explainability, and management-system controls into continuous audit telemetry. Prompt injection vectors and compliance drift are exposed in real time.
PIPEDA & Cross-Border Model Transfers
Inspects RAG and training payloads before they exit Canadian tenancy. Personal information and proprietary IP are redacted prior to transfer to third-party LLM or GPU endpoints.