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Key Takeaways By combining Zero Trust principles (“never trust, always verify”) with AI, organizations can improve resilience and reduce downtime while maintaining strict access controls.
Instead of static rules, AI analyzes context (location, timing, behavior patterns) during recovery events to ensure that only legitimate recovery efforts will take place.
“Assume breach” is now a recovery strategy. By treating a breach as inevitable, you can design strong systems and always be on guard for threats — and AI makes these systems even more powerful.
Over many years, cybersecurity and business progress have existed separately. A security team’s aim was to solidify systems and verify all admission attempts. The operations people aimed to ensure that data was always readily accessible.
These objectives seem to be headed for a collision. We all know how annoying two-factor-authentication can be and how it can prevent us from instantly recovering data. It can extend downtime as we try to find a password we forgot or a code we forgot to take note of.
Due to the principles of Zero Trust and AI, a new system is emerging. Companies are now learning about how to combine strict access controls with brilliant data recovery. This is creating the possibility of “Zero Trust,” enabling “Zero Downtime.”
What is the Zero Trust foundation?
We have to understand what Zero Trust really means. According to Microsoft, Zero Trust is not a product but rather a security strategy comprised of three things.
Firstly, verification should be thorough. There should always be authentication done in addition to inputting a password. The authorization should take place once multiple forms of data are collected.
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