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Money at Risk: Finance & Data Security in the Digital Age

NexusTek

Getting a sense that their bank, lender, or investment firm has weak security can drive customers to close their accounts and switch to a competitor. Customers increasingly demand access to their financial information through online and mobile platforms, with 61% of customers currently using some form of online banking each week 7.

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Understanding DORA: How to operationalize digital resilience

everbridge

Aligned with existing regulations like NIS2 in the EU and the Bank of England Operational Resilience Regulation in the United Kingdom, DORA offers organizations the chance to leverage existing capabilities to meet the new requirements effectively. Automation and real-time alerts allow proactive detection and response to security incidents.

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The evolution of cyber crime

SRM

When money was held in bank vaults, criminals used ingenuity and cunning to steal cash and valuables. A recent example of this was the spyware injected into a vulnerability within WhatsApp. These are the fake job adverts which get people to complete application forms which divulge sensitive personal information.

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What The Pipeline Oil Ransomware Attack TAUGHT Us

Assurance IT

There was a point in time when you had to hold up a bank to steal money. If they find a vulnerability in your network, they will attack, no matter what industry you’re in. This is called a DRP which stands for Disaster Recovery Plan. . Determine critical applications, documents, and resources. That’s ruthless!

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The Ukraine Invasion: What Are the Impacts on Supply Chain Dynamics?

Fusion Risk Management

The Bank of England, as part of their operational resilience policy statement , continually outlined the need for institutions to ensure that they can continue to deliver their important business services during severe (or extreme) but plausible scenarios. What if that same scenario lasted a month? Two months?

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45 World Backup Day Quotes from 32 Experts for 2023

Solutions Review

As generative AI applications like chatbots become more pervasive, companies will train them on their troves of internal data, unlocking even more value from previously untapped information. The result is that large sections of corporate datasets are now created by SaaS applications.

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