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 begins August 2, 2026. For financial services, it intersects MiFID, EMIR, and SFTR trade reporting. And requires…
Read FrameworksEU AI Act Compliance Guide
EU AI Act compliance requirements, August 2, 2026 deadline, Annex III high-risk classification, penalties, and automated 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 attest once to their data practices and regulated…
ReadConcepts
Plain-language explainers on the platform vocabulary. Reign, Forge, BioCompute.ai, the Trust Layer, AI governance, and the agentic era of enterprise AI.
What is Forge? Managed Runtime for Enterprise
Learn what Forge is. iTmethods' Managed Runtime for enterprise tools, workloads, and AI infrastructure. 55+ fully managed tools, MCP servers, and AI…
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 BioCompute.ai? Trust Layer for Life Sciences
Learn what BioCompute.ai is and how this Trust Layer for Enterprise AI enables pharmaceutical and biotech organizations to leverage AI while…
Read ConceptsWhat is the Trust Layer for Enterprise AI?
The Trust Layer for Enterprise AI is iTmethods' positioning for Reign and Forge. 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 ConceptsThe iTmethods Platform. Reign + Forge
iTmethods builds the Trust Layer for Enterprise AI: Reign (AI governance) and Forge (managed runtime + modern DevOps). Reign governs. Forge runs.
ReadTopics & 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 & 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 & 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 & 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 & 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 & 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 & 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 & ComparisonsEnterprise LLM Gateway Comparison
Compare enterprise LLM gateways: Reign AI Gateway, Kong, Portkey, Helicone, LiteLLM, Truefoundry. Evaluation criteria and selection guide.
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