Karen Mcdermott

When AI agents swarm, can banks keep up?

As autonomous "AI agent swarms" increase the speed and scale of cyber threats, banks must evolve their security strategies to detect complex, machine-speed patterns. This requires …

Agentic treasury runs on searchable, observable context

The article argues that modern treasury must transition from "systems of record" to AI-powered "systems of intelligence" by implementing a layer that provides real-time, searchable…

Building trusted agentic AI in financial services: From data to autonomous action

As financial institutions transition from generative AI to agentic AI, the focus is shifting from simple question-answering to deploying autonomous systems capable of executing com…

Building the Agentic SOC: A new model for financial services

To combat increasingly sophisticated AI-powered threats, financial institutions are transitioning toward "agentic SOCs" that use AI agents to augment human analysts through automat…

Quantum computing, agentic AI, and the next infrastructure layer in financial services

The financial services industry is transitioning from traditional data platforms toward "contextual intelligence platforms" to support the rise of agentic AI and quantum computing.…

Scaling AI in financial services starts with governance and architecture

Scaling AI in financial services requires moving beyond front-office hype to focus on a robust backend foundation centered on unified data, rigorous governance, and enterprise-wide…

Stanford’s AI Index Report 2026 meets the security reality in financial services

The 2026 Stanford AI Index Report highlights AI’s transition from experimental pilots to essential infrastructure in financial services, creating both massive opportunities and new…

Context engineering: The missing layer for trusted AI in financial services

This article highlights context engineering as the crucial next step for successful AI implementation in financial services, moving beyond simply improving models and prompts. Whil…

How financial services companies are building contextual intelligence at scale

Financial services companies are moving beyond simply analyzing data to embedding real-time intelligence directly into their systems and workflows – a concept called "data ubiquity…

Money20/20 USA 2025: Fintech’s inflection point has arrived

Money20/20 USA 2025 signaled a shift in fintech from experimentation to practical implementation, with AI now considered core financial infrastructure. The focus has moved to respo…

Elastic at Money20/20 USA 2025: Powering the next era of financial services

Elastic is showcasing its solutions at Money20/20 USA 2025, focusing on how cloud and AI can help financial institutions navigate rapid changes in data management, fraud prevention…

The rise of intelligent banking: Unifying fraud, security, and compliance in the era of AI

To combat increasingly sophisticated AI-driven threats and meet rising regulatory demands, financial institutions must move away from siloed risk functions toward unified, AI-power…