LATEST INTELLIGENCE ways to integrate AI into their applications and products securely while product teams need to streamline customer onboarding without throttling time to market – all while meeting employee and customer expectations . noncompliance become an even bigger challenge . Any one of these outcomes could cause setbacks to your AI initiatives , threatening your ability to maintain a competitive advantage .
Since the IT environment is evolving as well , it becomes more complicated . This evolution brings new data security and privacy risks , stemming from factors such as :
• An expanded attack surface
• A growing number of connection points
• Massive amounts of valuable data that ’ s being collected and processed
• Increased reliance on the cloud , along with more complex and dynamic workloads
If your AI systems are not secure , risks such as data compromise , operational disruption , reputational damage , financial losses , and regulatory
Digital identities – those of the customers and employees – play a central role in the AI era . Strong and secure authentication is the foundation of successful AI adoption , whether you ’ re integrating it into internal systems or your products . Since digital identities control access to all your data , applications , and services , managing identities effectively and protecting your organizations against identity-centric threats take on new urgency .
By rethinking your approach to identity , you can embrace the disruptive opportunities of AI – accelerating time to market while maintaining secure access to applications and meeting customer expectations . p
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