Keynote ALIZZ BANK cyber security by design in banking: a critical need

Delayed adoption of digital transformation in banking actually can be to the advantage of CSbD, as new systems will be built with state-of-the-art security features from inception, eliminating vulnerabilities in legacy systems. This comes about through embedding secure-by-design protocols with AI-optimized encryption techniques, which assure the safe and efficient transfer of sensitive financial data. AI-driven frameworks, with proactive detection, prevention, and mitigation of cyberattacks at the system design level, give CSbD resilience and operational integrity. Scalable, adaptive systems using federated and reinforcement learning further enable secure solutions for supporting growing and diverse demands of modern banking infrastructures. This approach will strengthen compliance, protect customer trust, and mitigate the risks in an increasingly digitalized financial landscape. Delayed adoption, when strategically aligned with CSbD principles, transforms cybersecurity into a foundational advantage for banks.

Publication Details

Journal
London Met Repository (London Metropolitan University)
Published
2024-12-17
Primary Topic
Subterranean biodiversity and taxonomy
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Keynote ALIZZ BANK cyber security by design in banking: a critical need

London Met Repository (London Metropolitan University)
Subterranean biodiversity and taxonomy
article

Keynote ALIZZ BANK cyber security by design in banking: a critical need

article en

Abstract

Delayed adoption of digital transformation in banking actually can be to the advantage of CSbD, as new systems will be built with state-of-the-art security features from inception, eliminating vulnerabilities in legacy systems. This comes about through embedding secure-by-design protocols with AI-optimized encryption techniques, which assure the safe and efficient transfer of sensitive financial data. AI-driven frameworks, with proactive detection, prevention, and mitigation of cyberattacks at the system design level, give CSbD resilience and operational integrity. Scalable, adaptive systems using federated and reinforcement learning further enable secure solutions for supporting growing and diverse demands of modern banking infrastructures. This approach will strengthen compliance, protect customer trust, and mitigate the risks in an increasingly digitalized financial landscape. Delayed adoption, when strategically aligned with CSbD principles, transforms cybersecurity into a foundational advantage for banks.

London Met Repository (London Metropolitan University)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Subterranean biodiversity and taxonomy
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Keynote ALIZZ BANK cyber security by design in banking: a critical need · London Met Repository (London Metropolitan University) (2024) | TGRS Research Map | TGRS