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All sane Fintechs will have a security system to try and keep out as many attacks and fraudulent would be clients. However the nature of the attacks and frauds is getting ever-more hardcore. As Martin says in the show back in the day to rob a bank you would have to take significant personal risk when getting into and out of a bank with your shotgun and a high risk of capture by the authorities. These days the risk:return is way lower (and one reason for much higher levels of fraud) as one can sit in a warm office on the other side of the world, far from the local police force and in no physical danger). What is to be done about this massive change of dynamic?
Resistant.AI specialise in adding an additional layer(s) of protection(s) to existing systems and with an approach analogous to antivirus software – namely using AI to detect the latest patterns of attacks and updating their software hourly to keep pace.
As Martin explains there is no such thing as perfect security – however as with most of evolution perfection is not required – merely being one step ahead of the competition. If you make yourself a harder target to defraud than your competitors the fraudsters will got for them not you.
How is this done? What are the challenges? Topics discussed include:
4.6
88 ratings
All sane Fintechs will have a security system to try and keep out as many attacks and fraudulent would be clients. However the nature of the attacks and frauds is getting ever-more hardcore. As Martin says in the show back in the day to rob a bank you would have to take significant personal risk when getting into and out of a bank with your shotgun and a high risk of capture by the authorities. These days the risk:return is way lower (and one reason for much higher levels of fraud) as one can sit in a warm office on the other side of the world, far from the local police force and in no physical danger). What is to be done about this massive change of dynamic?
Resistant.AI specialise in adding an additional layer(s) of protection(s) to existing systems and with an approach analogous to antivirus software – namely using AI to detect the latest patterns of attacks and updating their software hourly to keep pace.
As Martin explains there is no such thing as perfect security – however as with most of evolution perfection is not required – merely being one step ahead of the competition. If you make yourself a harder target to defraud than your competitors the fraudsters will got for them not you.
How is this done? What are the challenges? Topics discussed include:
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