Field notes on AI governance
As organisations deploy AI, they face growing compliance, security, and accountability challenges. This blog provides essential insights into AI governance, helping teams navigate those risks.
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The 9 Best AI DLP Tools in 2026: Stopping Data Leaks in the AI Era
Compare the 9 best AI DLP and data loss prevention tools of 2026 on prompt-level enforcement, coverage, deployment, latency and compliance evidence.
Data Security Protocols for AI: An Enterprise Playbook
A practical enterprise playbook for securing AI data across prompts, RAG, training, models, outputs, agents, audit logs, and third-party providers.
What Is Shadow AI? Detection, Risks & How to Stop It
Learn what Shadow AI is, why employees use unapproved AI tools, how to detect Shadow AI traffic, and the risks it creates for data security and compliance.
The 7 Best AI Governance Tools for Enterprise in 2026 (And What Most Lists Get Wrong)
Compare seven enterprise AI governance tools for 2026 on runtime controls, model oversight, compliance workflows, deployment options, and platform coverage.
AI Governance in Financial Services: Controls for Banks Using ChatGPT and Copilot
AI governance for financial services: data protection, access policies, audit evidence, and regulatory context for banks using ChatGPT, Claude, and Copilot.
AI Audit Logs for Compliance: What Regulators Expect Enterprises to Capture
AI audit logs for compliance: the fields regulator-ready evidence needs to satisfy the EU AI Act, MAS TRM, and internal audit across every AI tool in use.