Dr. Lydia Kostopoulos

Website: Lkcyber.com

Twitter: @LKCYBER

Linkedin: linkedin.com/in/lydiak

Securing Artificial Intelligence:Evolving InfoSec Landscape

- Overview Brief -

Businesses today are automating processes at a rapid pace and utilizing AI togain new insights, optimize existing business operations and efficiency, whilesimultaneously improving accuracy. As the dependence on AI support fordecision making and operations management increases, information securityleaders need to understand how best to protect it while allowing for maximumoperation-ability.

AI Use In Business Operations

AI Integrity and Information Security

Companies are expanding their use of AI to remain competitivein the market, here are some ways they are using it: toidentify patterns, for predictive analytics, to optimize costs,In crease process efficiency, perform repetitive tasks, customerservice engagement, for decision support, market intelligence, networkmanagement, accounting etc.

Information security professionals will have toexpand their understanding of AI and attack

vectors exclusive to AI. One challenge InfoSec professionals will face is toprotect the AI code from malicious code manipulation which, in essence,would have the capacity to disrupt operations, and (or) adversely alter them. Afine balance will need to be struck between allowing for dynamic amendmentsacross the organization to the algorithmic parameters, and securing access toit. Another challenge will be preserving an authentic machine learningenvironment as intended by the organization; while simultaneously preventingand disrupting external actors from manipulating it via public facing platforms.

As its use grows it will become business critical, and will be used by morepeople in the organization. The algorithmic parameters may need to bedynamic and amended as needed, and machine learning will be a sensitivecomponent of an organization’s AI.