Financial
Large Language Models LLMs vs. Small Language Models SLMs for Financial Institutions: A 2025 Practical Enterprise AI Guide
No single solution universally wins between Large Language Models (LLMs, ≥30B parameters, often via APIs) and Small Language Models (SLMs, ~1–15B, typically open-weights or proprietary specialist models). For banks, insurers, and asset managers in 2025, your selection should be governed by regulatory risk, data sensitivity, latency and cost requirements, and the complexity of the use…
How CISOs can justify security investments in financial terms – Help Net Security
In this Help Net Security interview, John Verry, Managing Director at CBIZ, discusses how insurers and financial risk professionals evaluate cybersecurity maturity through different lenses. He also shows how framing cyber risk in business terms can strengthen investment cases and elevate cybersecurity as a strategic driver. What should CISOs know about how insurers and financial…
How to Use python-A2A to Create and Connect Financial Agents with Google’s Agent-to-Agent (A2A) Protocol
Python A2A is an implementation of Google’s Agent-to-Agent (A2A) protocol, which enables AI agents to communicate with each other using a shared, standardized format—eliminating the need for custom integration between services. In this tutorial, we’ll use the decorator-based approach provided by the python-a2a library. With simple @agent and @skill decorators, you can define your agent’s…
Wultra Secures €3M to Protect Financial Institutions from Quantum Threats
Prague, Czech republic, January 15th, 2025, CyberNewsWire Quantum computing is set to revolutionize technology, but it also presents a significant security risk for financial institutions. Czech cybersecurity startup Wultra has raised €3 million from Tensor Ventures, Elevator Ventures, and J&T Ventures to accelerate the development of its post-quantum authentication technology, safeguarding banks and fintech against…