Author: Arun Natarajan

How can senior IT and controls leaders leverage the foundational model-risk framework of SR 11-7 to govern today’s AI/ML and cloud-native deployments? This article delivers a detailed, executive-level blueprint: from board oversight to MLOps pipelines, vendor models to drift detection, enabling scalable, compliant, and responsible AI in financial services. SR 11-7 remains the baseline for…

The Product Owner role has evolved beyond backlog management. This article explores how Strategic Product Owners combine Scrum.org principles, evidence-based metrics, and risk governance frameworks to drive enterprise agility and compliance in today’s AI-driven organizations. The Strategic Product Owner connects strategy with delivery, and innovation with control. Beyond Backlogs: The Rise of the Strategic Product…

The EU’s DORA regulation reshapes how resilience is defined — not as paperwork, but as proof. This article explores how DORA aligns with U.S. frameworks like OCC, FFIEC, and NIST to create a global model for AI-era operational resilience. DORA treats resilience as a capability to be proven, not a report to be filed. The…

FAIR (Factor Analysis of Information Risk) transforms risk management from art to science. Instead of red-yellow-green heat maps, it quantifies information risk in financial terms, enabling executives to make transparent, data-driven decisions. In today’s digital enterprises, risk decisions are often made with subjective ratings — high, medium, low. Yet in financial services and AI-driven environments,…

The EU AI Act is the world’s first sweeping regulation of artificial intelligence. With phased obligations beginning 2025, it imposes risk-based rules on high-risk and general-purpose AI, bans certain practices, and carries severe global fines. This article unpacks its timeline, obligations, and how enterprises — especially U.S. tech providers — can build a compliance strategy…

ISO/IEC 42001:2023 introduces the world’s first AI Management System (AIMS) — a governance blueprint for responsible, auditable, and transparent AI operations. This article explores how it connects ISO, NIST, and regulatory frameworks to help organizations innovate safely and compliantly. ISO 42001 is the governance backbone for AI systems, ensuring transparency and human oversight. ISO 42001:…

Regulation W limits bank exposure to affiliates and enforces arm’s-length terms — controls that matter even more as AI and cloud make intra-group services pervasive. Here’s how to embed 23A/23B into your tech stack, by design, not after the fact. Regulation W keeps banks from leaking safety-net support to related parties. Why Regulation W Still…

COBIT 2019 remains the gold standard for IT governance and risk alignment. This article breaks down how ISACA’s enterprise framework helps executives manage AI, compliance, and enterprise risk with precision. COBIT connects stakeholder goals to measurable IT governance practices. Why It Matters Now AI, cloud, and platform modernization are compounding risk, spend, and scrutiny. Boards…

Artificial intelligence is rapidly transforming industries — from banking and healthcare to government and critical infrastructure. With this transformation comes both opportunity and risk. To address these concerns, NIST released the AI Risk Management Framework (AI RMF 1.0) in January 2023, giving organizations a voluntary, structured approach to manage AI risk and align with emerging…

If you’re new to banking, finance, or risk management, you might have heard people talk about “SR 11-7” like it’s a secret code. In reality, it’s one of the most important regulatory guidelines for how banks should manage the risks that come with using models. Let’s break it down in simple terms. What is SR…