Financial institutions battle cyber threat info overload
Cyber threat intelligence is crucial for the defense of an organization’s network, but financial firms have to figure out how to make sense of all the data first.
The Chinese general Sun Tzu said that if you know your enemy and you know yourself, you need not fear the outcome of a hundred battles. If he added that too much information about your enemy can be overwhelming, history does not record that.
Knowing the enemy is no less important to the security operations centers (SOCs) at financial organizations than to Han Dynasty military strategists. But the sheer volume of threat intelligence—the data an organization uses to understand the information
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: http://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
BlackRock tests ‘quantum cognition’ AI for high-yield bond picks
The proof of concept uses the Qognitive machine learning model to find liquid substitutes for hard-to-trade securities.
The future of trading takes shape
The future of trading across the capital markets and the drivers likely to shape the ever-evolving industry
On GenAI, Citi moves from firm-wide ban to internal roll-out
The bank adopted three specific inward-facing use cases with a unified framework behind them.
FactSet-LiquidityBook: The buy-side OMS space continues to shrink
Waters Wrap: Anthony spoke with buy-side firms and industry experts to get a feel for how the market is reacting to this latest tie-up.
Examining Cboe’s lawsuit appealing SEC’s OEMS rule rejection
The Chicago-based exchange has sued the regulator in the Seventh Circuit Court of Appeals after the agency blocked a proposed rule that would change how Silexx is classified.
Lucrative market data deal with LSEG fuels Tradeweb’s record quarter
The fixed-income trading venue realized gains from its 2023 deal with the London Stock Exchange Group, amid soaring revenues from market data providers industry-wide.
Is overnight equities trading a fad or the future?
Competition is heating up in US equity markets as more venues look to provide trading from twilight to dawn. But overnight trading has skeptics, and there are technical considerations to address.
We’re running out of datacenters! (But maybe AI can help?)
The IMD Wrap: Datacenter and cloud adoption is being pushed to its limits by AI. Will we simply run out of space and power building AIs before AI figures out how to fix it?
