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Digital is everything to the economy.
There are few businesses that can do without some form of digital process in the modern world.
Sounds like some of that doomerism?
Dont bet against cyber adversaries being adaptable and persistent, whatever you do.
Already elite criminals will become fiendishly difficult to defend against.
AI must be deployed at multiple points, not only at the edge.
One example of a changing paradigm is in electronic agreements.
Organizations need to uplevel their investment in maximally secure electronic identity verification.
One use case is in liveness detection for ID verification.
AI is proven to work well analyzing authorized photos against video selfies taken during the sign-up process.
AI performs very well confirming if applicants are live - not a pre-recording or deepfake.
Second - continuously scan.
A multi-layered security strategy allows for defense against advanced and persistent attacks.
Thefirewall, intrusion detection systems, and agents protecting every endpoint, creates stronger barriers.
Third - manage data securely, and validate models with human interaction.
New AI models need great data to improve.
Organizations can’t yet rely on AI models to be 100 percent accurate.
Many of these technologies are already available within SaaS solutions.
Putting this into practice, test AI within a closed environment where the organisation can freely experiment.
For example, create or use AI Labs where tools, consequences, and explainability can be explored.
So, stay positive, but never static.
The cycle of change that AI brings is likely to leap forward at an ever-accelerating rate.
We’ve listed the best identity management software.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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