Algorithmic trading needs evidence of control (opens on LinkedIn in a new tab)
A perspective on testing, monitoring, recordkeeping, and the ability to stop automated trading systems.
INSIGHTS
Our thinking on the decisions shaping technology, risk, data, and AI. Explore company articles and posts, published on LinkedIn.
9 insights
Published on LinkedInA perspective on testing, monitoring, recordkeeping, and the ability to stop automated trading systems.
Why useful AI risk assessments start with a reliable system inventory, governed data, and evidence behind the ratings.
A discussion of access boundaries, protected logs, and the evidence needed to examine an agent's actions.
A practical perspective on cryptographic inventories, exposure assessment, and the governance work behind post-quantum preparation.
How connecting requirements, controls, and evidence can make audit preparation a continuing discipline.
A proposed path from isolated AI experiments to governed enterprise workflows with human accountability.
Why banking transformation depends on operational reliability, regional infrastructure, and evidence-based governance.
A leadership perspective on developer-tool supply chains and the controls needed around routine software updates.
A framework for examining AI infrastructure through operational, security, governance, and economic evidence.
Try another topic or a broader search.
Visit our company page for further posts and discussions.
Articles and posts open on LinkedIn. LinkedIn may ask you to sign in. This is an editorial selection, updated on 5 October 2026.
LET’S TALK
Tell us what you’re working through. We’ll help define where to start.