AWS doubled SCP limits. Here’s what to review in your landing zone
AI governance for risk and compliance teams is ultimately about operational trust. This blog explores how financial services organisations can move Gen AI systems safely into production through clear policy frameworks, AI risk ratings, observability, lifecycle ownership, audit trails, and APRA-aligned operational controls.
The governance gap: Why AI-driven threats demand organisational change, not just technical fixes
AI governance for risk and compliance teams is ultimately about operational trust. This blog explores how financial services organisations can move Gen AI systems safely into production through clear policy frameworks, AI risk ratings, observability, lifecycle ownership, audit trails, and APRA-aligned operational controls.
How to use AI coding tools like a senior engineer
AI governance for risk and compliance teams is ultimately about operational trust. This blog explores how financial services organisations can move Gen AI systems safely into production through clear policy frameworks, AI risk ratings, observability, lifecycle ownership, audit trails, and APRA-aligned operational controls.
Building trust through AI Governance with Australian regulators
AI governance for risk and compliance teams is ultimately about operational trust. This blog explores how financial services organisations can move Gen AI systems safely into production through clear policy frameworks, AI risk ratings, observability, lifecycle ownership, audit trails, and APRA-aligned operational controls.
Building trust through AI Governance for risk and compliance teams
AI governance for risk and compliance teams is ultimately about operational trust. This blog explores how financial services organisations can move Gen AI systems safely into production through clear policy frameworks, AI risk ratings, observability, lifecycle ownership, audit trails, and APRA-aligned operational controls.
Oracle Exadata to AWS EC2 Migration: Handling HCC Compression and Data Guard Limitations
Learn how to migrate an Oracle database from Exadata to AWS EC2 while handling Hybrid Columnar Compression (HCC) limitations, Data Guard challenges, RMAN migration workflows, and post-migration decompression strategies. This real-world 80+ TB migration outlines practical approaches for maintaining operational stability, minimising downtime, and managing HCC dependencies in non-Exadata cloud environments.
Building trust through AI governance in Financial Services
AI governance in financial services is ultimately about trust. This practical guide explores how to build Gen AI systems that can move safely into production through accuracy, explainability, operational controls, and compliance validation. From model optimisation to auditability, learn how regulated organisations can build AI systems that users, risk teams, and regulators can confidently rely on.
Modern data foundations for AI: The strategic imperative for AI at scale
As organisations race to adopt generative and agentic AI, many are discovering a hard truth: AI ambition is only as strong as the data platforms that underpin it. Legacy SQL Server and Oracle environments were never designed to support the scale, integration, and velocity modern AI demands. This article explores why modern data foundations are now a strategic imperative for enabling AI at scale.
Metadata-Driven PII Masking in dbt on AWS Glue
Learn how to implement PII masking in dbt on AWS Glue using a metadata-driven approach powered by Jinja macros and post-hooks. This guide shows how to protect sensitive data in non-production environments without modifying model SQL, using Spark SQL and Iceberg tables for scalable, deterministic masking.
AWS DMS CDC from SQL Server to S3 Using CDK – Pipeline Guide
Learn how to use AWS DMS CDC to replicate SQL Server data to S3 in near real time using AWS CDK. This step-by-step guide covers full load, continuous change data capture, table mapping, IAM configuration, and best practices for building a robust, production-ready data ingestion pipeline.