Resources
Written by the engineers who do the work: analysis of emerging threats, frameworks for governing AI and practical guidance for security and technology leaders.
NIST has standardised the first post-quantum algorithms. The hardest part of migration is not the algorithms — it is knowing where your cryptography is.
A credit model is only as deployable as its explanations. How to design reason codes that are accurate, consistent and useful.
When an LLM reads untrusted content, that content can attempt to give it instructions. Why retrieval and tools change the threat model.
A practical framework for explainability, fairness testing, human oversight and audit in AI-assisted lending.
How to inventory cryptography, prioritise systems and plan a hybrid migration to ML-KEM and ML-DSA.
Research note on combining metadata, structural, typographic and arithmetic signals to detect manipulated PDF bank statements.
Illustrative engagement structure showing how a lender can move from manual document review to policy-governed, explainable decisioning with human review.
Illustrative engagement structure for building a cryptographic inventory and a prioritised post-quantum migration roadmap.
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