Remove Mitigation Remove Risk Remove Technology Risk
article thumbnail

MAS Seeks Feedback to Close Regulatory Gaps for Crypto Service Providers

Fintech News

The aim is to mitigate the risks associated with such businesses. The purpose of these requirements is to address the risks of money laundering and terrorism financing, to which DTSPs may be particularly exposed due to their cross-border operations.

article thumbnail

MAS Warns Financial Institutions of Quantum Computing Cyber Threats

Fintech News

However, they also pose a significant threat to the integrity of widely-used encryption methods, putting financial transactions and sensitive information at risk. Additionally, research into Quantum Key Distribution (QKD) technology is underway, aiming to create secure methods for distributing encryption keys.

article thumbnail

Implementing AI Becomes Top-Two Priority for 31% of UK Executives Reveals Accenture

The Fintech Times

Emerging disruptive technologies, including artificial intelligence (AI), have continued to rise on the agenda for C-suite executives in the UK in the financial services industry over the last two years; according to a new study from Accenture , the IT services and consulting firm.

AI 57
article thumbnail

Real-time P2P seems risky, but the security is solid

Payments Source

There are lots of layers technology risk-mitigation features, and in addition, network level mitigation is provided as well, writes Robb Gaynor, chief product officer at Malauzai.

article thumbnail

How to Create a GDPR-Compliant Password Policy?

VISTA InfoSec

A GDPR-compliant password policy should enforce unique passwords for each account to mitigate the risk of credential stuffing attacks. Regular training sessions and awareness programs can help users understand the risks associated with poor password management and the benefits of adhering to the organization’s password policy.

MFA 130
article thumbnail

Hong Kong’s SFC Lays Out Regulatory Pathway for Tokenisation

Global Fintech & Digital Assets

The SFC notes the potential benefits of tokenisation, including increasing efficiency, enhancing transparency, reducing settlement time, and lowering costs for traditional finance, but also recognises that the use of DLT can create additional risks. through transfer restrictions or whitelisting).

article thumbnail

What is Test Time Training

Nanonets

To mitigate this cost, consider: Parameter-Efficient Fine Tuning (PEFT) : During the training of LLMs, training with LoRA is considerably cheaper and faster. Latency : Not suitable for real-time LLM applications with current technology. Risk of Poor Adaptation : Fine-tuning on irrelevant examples may degrade performance.