Reign knowledge base
Concepts, frameworks, and the architecture underneath.
27 articles. Reign-led architecture. Native regulator vocabulary. Reading order is yours to choose.
Frameworks
Frameworks
Deep-dives on the open frameworks and regulatory regimes Reign maps to. FINOS AIGF, DORA, the EU AI Act, MCP server governance and CC4AI.
What Is the FINOS AI Governance Framework (AIGF)?
The FINOS AIGF is an open-source AI governance framework with 25 risk categories mapped to the EU AI Act, DORA, NIST AI RMF, ISO 42001, OWASP, and...
Read →FrameworksThe Six Agentic AI Risks in AIGF v2.0
FINOS AIGF v2.0 defines six agentic AI risks: multi-agent boundary violations, action authorization bypass, tool chain manipulation, MCP supply chain...
Read →FrameworksFINOS Open RegTech Explained
FINOS Open RegTech is the open-source regulatory technology stack: Common Domain Model, Morphir, Digital Regulatory Reporting, and the AI Governance...
Read →FrameworksDORA and AI Governance | Digital Operational Resilience Act
DORA. The EU Digital Operational Resilience Act, in force since January 17, 2025. Requires financial institutions to demonstrate ICT risk management...
Read →FrameworksEU AI Act for Financial Services | High-Risk Enforcement
EU AI Act high-risk enforcement was deferred to December 2, 2027 by the May 2026 Omnibus. For financial services, it intersects MiFID, EMIR, and SFTR trade reporting. And requires...
Read →FrameworksEU AI Act Compliance Guide
EU AI Act compliance requirements, the December 2, 2027 Annex III deadline, high-risk classification, penalties, and compliance strategies.
Read →FrameworksMCP Server Governance
Model Context Protocol server governance, tool poisoning prevention, enterprise MCP controls, and centralized MCP governance platforms.
Read →FrameworksFINOS CC4AI (Common Controls for AI Services)
CC4AI is the FINOS initiative to establish a common evidence-artifact format so AI vendors can declare once to their data practices and regulated...
Read →Concepts
Concepts
Plain-language explainers on the platform vocabulary. Reign, the four motions, AI governance and the agentic era of enterprise AI.
What is Reign Ops? Managed Runtime for Enterprise
Learn what Reign Ops is. iTmethods' Managed Runtime for enterprise tools, workloads, and AI infrastructure. 55+ fully managed tools, MCP servers, and...
Read →ConceptsWhat is Reign? Enterprise AI Governance Platform
Learn what Reign is and how this AI governance platform provides policy enforcement, model monitoring, risk assessment, and compliance automation for...
Read →ConceptsWhat is Reign for Life Sciences?
Learn how Reign for Life Sciences applies the four motions to pharmaceutical and biotech work while...
Read →ConceptsWhat is Continuous Agentic Assurance?
Governance and managed runtime for regulated enterprises.
Read →ConceptsWhat Is AI Governance? Framework, Principles & Enterprise Guide
AI governance is the system of policies, controls, and accountability structures that ensure AI systems operate safely, ethically, and in compliance...
Read →ConceptsWhat Is an LLM Gateway? Enterprise AI Gateway Explained
An LLM gateway is a centralized control plane that routes, monitors, and governs all large language model interactions across your enterprise. Learn...
Read →ConceptsWhat is a Managed Runtime? Enterprise Category Explained
A managed runtime is one operating envelope across enterprise DevOps, enterprise SaaS, AI tooling, and agentic AI. Single trust posture, single SLA...
Read →ConceptsWhat is an AWS Managed Service Provider (MSP)?
How AWS validates Managed Service Providers, what the MSP program requires, BUSP and SDRP audit categories explained, and what enterprises should...
Read →ConceptsAgentic AI Governance: How to Govern Autonomous AI Agents
Agentic AI governance provides policy enforcement, access control, and audit trails for autonomous AI agents. Learn how to govern AI agents that take...
Read →Topics and comparisons
Topics and comparisons
Architecture-level reference material. Evidence architecture, third-party AI risk, training data lineage, AWS Bedrock AgentCore, plus governance-platform comparisons.
What Is an Evidence Architecture? | AI Governance
An evidence architecture turns regulatory requirements into runtime controls and continuously produces machine-readable evidence. Not a dashboard. The...
Read →Topics and comparisonsThird-Party AI Risk Management. Under DORA, EU AI Act, AIGF
Third-party AI risk is the compliance exposure created by AI systems your organization did not build. DORA, the EU AI Act, and the FINOS AIGF all...
Read →Topics and comparisonsTraining Data Lineage. AIGF, EU AI Act Requirements
Training data lineage is the record of which source data contributed to an AI model's training. The FINOS AIGF and EU AI Act both require it. And...
Read →Topics and comparisonsAmazon Bedrock AgentCore for Regulated Enterprises
Bedrock AgentCore Runtime, Memory, Gateway, Identity, and Policy explained. And what each piece means for regulated enterprises with PrivateLink, KMS...
Read →Topics and comparisonsAI Governance on AWS: Primitives vs. Control Plane
Where Bedrock Guardrails, IAM, CloudTrail, and Security Hub stop. And where a cross-workload AI governance control plane (Reign) picks up.
Read →Topics and comparisonsFluxnova: The FINOS Fork of Camunda 7
Fluxnova is the FINOS community fork of the last Apache 2.0-licensed version of Camunda 7, hosted under the Linux Foundation. Sponsors include...
Read →Topics and comparisonsBest AI Governance Platform
Compare leading AI governance platforms including Reign, Credo AI, IBM watsonx.governance, and others. Evaluation criteria and selection guide for...
Read →Topics and comparisonsEnterprise LLM Gateway Comparison
Compare enterprise LLM gateways: Reign Gateway, Kong, Portkey, Helicone, LiteLLM, Truefoundry. Evaluation criteria and selection guide.
Read →Topics and comparisonsAI Governance Tools: Categories and How They Fit Together
A practical guide to the categories of AI governance tools, what each one does, and why a unifying platform beats a stack of point tools in regulated...
Read →Topics and comparisonsAI Data Governance: Governing the Data Behind Your Models
AI data governance is more than classic data governance. It covers training data, lineage, residency, and the inputs and outputs of live models. Here...
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