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Bank of England reviews AI rules for agentic AI in finance

The Bank of England is reviewing whether existing rules can cover the use of agentic AI in finance, including payments, trading, cybersecurity, and operations. Deputy Governor Sarah Breeden said existing regulatory frameworks were not designed for AI agents that can act without direct human instruction. Speaking at the European Central Bank Forum on central banking […]

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Coinbase for Agents: Automating portfolio trading with AI

Coinbase for Agents connects AI to financial execution channels to automate trading and payments directly from user portfolios. Large language models process vast quantities of data but lack direct integration with active financial portfolios. Individuals frequently employ these models to evaluate market developments or research investment opportunities. These software tools possess the capacity for complex

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Visa ChatGPT integration enables AI agent retail purchasing

Visa has linked its payment infrastructure to ChatGPT, enabling AI agents to recommend retail products and execute financial transactions. The deployment removes human intervention from the final stages of the retail funnel. Autonomous agents will now process user prompts, evaluate merchant catalogues, and complete the checkout process using Visa’s payment rails at any supporting merchant.

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AML Engine Performance

How the Right Infrastructure Unlocks Better AML Engine Performance

Many anti-money laundering (AML) engines underperform or generate excessive false positives because of the scale and complexity of modern financial data. These unsatisfactory results are typically not due to flawed detection logic but rather to insufficient supporting infrastructure. A variety of infrastructure limitations, such as weak data pipelines, limited compute scalability, poorly performing databases, and

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Laserfiche unveils AI agents for natural language workflows

Laserfiche has announced the release of AI agents that can help perform tasks through natural language prompts. Intelligent assistants follow Laserfiche’s integrated security rules and compliance requirements, helping ensure all sensitive data remains protected. Karl Chan, CEO of Laserfiche, said, “The introduction of AI Agents to content management signals a change in how we handle

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Role of artificial intelligence in payment technology.

Why it matters: How AI is transforming payment technology: fraud detection with Stripe Radar, Visa, and Mastercard, plus routing optimization, false decline reduction, and fintech strategy.

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Silicon Six: How Big Tech Avoided $278 Billion in Tax

The Silicon Six avoided $278bn in US taxes over a decade. Here’s how Amazon, Apple, Meta, Google, Netflix & Microsoft did it — and why it keeps happening. The post Silicon Six: How Big Tech Avoided $278 Billion in Tax appeared first on 1redDrop.

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SAP brings agentic AI to human capital management

According to SAP, integrating agentic AI into core human capital management (HCM) modules helps target operational bloat and reduce costs. SAP’s SuccessFactors 1H 2026 release aims to anticipate administrative bottlenecks before they stall daily operations by embedding a network of AI agents across recruiting, payroll, workforce administration, and talent development. Behind the user interface, these

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Companies expand AI adoption while keeping control

Many companies are taking a slower, more controlled approach to autonomous systems as AI adoption grows. Rather than deploying systems that act on their own, they are focusing on tools that assist human decision-making while keeping tight control over outputs. This approach is especially clear in sectors where errors carry real financial or legal risk.

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Secure governance accelerates financial AI revenue growth

Financial institutions are learning to deploy compliant AI solutions for greater revenue growth and market advantage. For the better part of ten years, financial institutions viewed AI primarily as a mechanism for pure efficiency gains. During that era, quantitative teams programmed systems designed to discover ledger discrepancies or eliminate milliseconds from automated trading execution times.

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