185
Articles
Bureau of AI
The authoritative source for AI governance and model risk management in the enterprise.
Regulatory intelligence, model validation guidance, and risk control frameworks for AI governance leaders, model risk teams, and legal and compliance functions.
109
Vendors
381
Glossary terms
0
Resources
What we cover
Four areas, kept current
AI Governance
Coverage of regulatory frameworks shaping enterprise AI deployment — including the EU AI Act, NIST AI RMF, and emerging national mandates. Practical analysis for governance leaders building compliant, auditable AI programs.
Model Risk Management
In-depth reporting on model validation, SR 11-7 compliance, audit trails, and risk controls for high-stakes AI systems. Guidance for model risk and assurance teams responsible for oversight of production AI.
Vendor Directory
A structured directory of AI governance and model risk management software vendors, mapped by capability — covering validation, monitoring, audit, and compliance workflow tools.
Glossary
Precise definitions of AI governance, model risk, and regulatory terms — from model validation and explainability to AI Act risk tiers and SR 11-7 requirements.
From the desk
Latest articles
Term of the day
10^25 FLOP Threshold
The 10^25 FLOP threshold is a measure of computing power used to train an AI model under the European Union's AI Act. When the total amount of computation used to train a general-purpose AI model exceeds this level, the model is presumed to carry so-called 'systemic risk,' which triggers additional legal obligations for its provider. It is a criterion set by EU regulators and applies within the EU AI Act framework rather than universally across all jurisdictions.
Directory
Vendors worth knowing
AllTrue.ai
Illuminate AI Risks with Seamless Protection
AllTrue.ai offers an AI Trust, Risk, and Security Management (AI TRiSM) platform designed to protect AI applications, systems, and models within organizations. The platform scans environments, code, and integrates with existing tools to provide visibility without intrusive deployment. It focuses on detecting and remediating risks in AI/ML systems, including model scanning and vulnerability assessments. AllTrue aims to mitigate risks by moving Shadow AI into the protected mainstream and helps business partners adopt AI safely by governing all AI resources.
Anaconda, Inc.
Accelerate AI Solutions with Confidence and Clarity
Anaconda Platform is presented as an enterprise AI development and deployment platform built around pre‑vetted open‑source Python packages. The record states it helps teams go from prototype to production faster by managing environments securely, reducing environment drift and dependency chaos, and deploying AI models with enterprise governance. The platform claims track lineage for every package and model to avoid shadow IT and supply chain vulnerabilities, and it includes automated security scanning and thousands of validated packages. Anaconda describes full visibility into systems, dependencies, and deployments, enforcement of compliance and governance, and real‑time visibility into model performance, security, and usage to support enterprise AI delivery.
anch.AI
Navigating AI Ethics with Confidence
anch.AI is an Ethical AI Governance platform that helps organizations comply with EU regulations when developing and using AI. The platform offers tools to assess ethical vulnerabilities, identify compliance gaps, and recommend tailored mitigation strategies. Features include a self-assessment tool with dashboards for ethical AI profiles, gap analysis, and continuous performance verification, ensuring adherence to responsible AI requirements. With a focus on legal compliance, the platform supports the implementation of ethical standards in AI solutions, providing users with benchmarks for responsible AI maturity.