time-to-recovery ( MTTR ). Rele- vant data is necessary to ensure that the information you receive is free of bias and noise .
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Using AI and ML to scan news platforms to detect events fur- ther allows for the ability to cat- egorize the events by time and place and rate the severity , al- lowing organizations to monitor not just the initial threat , but the cascading effects of that risk as it unfolds .
Preparing your organization to thrive in this new business unusual is now the expectation . As risks continue to be more complex and dynamic , orga- nizations must reevaluate how they are managing and reacting to physical threats to keep ahead ad of disaster . nology , like AI and ML , teams can be holistically prepared to mit- igate risks that unfold in 2022 .
About the Author
Matt Bradley serves as Vice Presi- dent of Global Security Solutions for OnSolve , and a member of On- Solve ' s Executive Leadership Team and works cross-functionally to drive the development of comprehensive and robust security operations solutions leveraging critical com- munications , risk intelligence , and incident management .
A veteran security operations ex- pert for more than two decades , Matt
By creating a culture of re- silience and leveraging tech-
Matt Bradley
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