AI Governance · Security · Transformation
An independent practice for AI governance, AI security and threat modeling, and digital transformation - helping leaders adopt probabilistic systems with judgment, rigor, and control.
Topics: Perspectives Frameworks Playbooks
Operating models, oversight, and accountability for probabilistic systems - from policy to working group to control.
Mapping how intelligent systems fail and are attacked, and the controls that keep adoption secure end to end.
Moving organizations from agile delivery to AI assurance without losing speed, judgment, or trust.
Cybersecurity governance has long relied on a single, comfortable premise: predictability. When developing a traditional software system, we typically develop a Blueprint. We write code, and we provide explicit instructions…
Read the perspectiveA growing library
FRAMEWORKS
There is a subtle, yet significant dilemma when operating Agile at Scale in the public sector. On one side, there is the ‘collective ownership’…
View frameworkADVISORY
A small, senior practice. We work alongside CISOs, CIOs, CTOs, and transformation leaders on the decisions that are hard to undo..
Where AI creates real advantage - and where it quietly adds risk.
Operating models, working groups, and controls that hold up under scrutiny.
Threat modeling and risk registers grounded in how systems actually behave.
Helping teams move from pilots to assured, production-grade AI delivery.
Neuralgebra exists because adopting AI is now a governance and security decision as much as a technology one. We publish frameworks and field-tested thinking, and we advise the leaders accountable for getting it right.
Read more about usExplore the frameworks, or start with the AI Governance Readiness Lens.
Explore the frameworks