October 25, 2023
by Ben Blanquera, VP, Evangelist and Senior Architect, Rackspace Technology
The journey to AI adoption is underpinned by three foundational elements: a symbiotic relationship between humans and machines, robust security measures, and a sustainable approach to accessibility and adaptability. As we embark on the second installment of our three-part series, our focus sharpens on the essence of secure AI. This tenet emphasizes the protection of personal and confidential data, resilience against potential attacks, and the reliable execution of tasks — even in unforeseen scenarios.
Today, traditional cybersecurity threats are intersecting with AI attack vectors, creating a multifaceted threat landscape. This is amplified by the deep integration of AI into critical business processes, which can turn minor vulnerabilities into significant disruptions.
Let’s dive into this second aspect of responsible AI — and see how essential safety principles help create a robust AI ecosystem that ensures optimal performance, data integrity and security.
To establish a secure AI technology environment, organizations must take a holistic approach that includes several critical components, including robust monitoring and observability, stringent identity and access controls, data and integrity protection measures, timely system updates and secure model deployment procedures.
As AI revolutionizes industries, a security model built around mere defensive strategies simply won’t suffice. Businesses need a holistic strategy — one that both safeguards AI infrastructures and prioritizes the buildout of AI solutions with foresight and anticipation of how to counter potential threats.
With the prioritization of monitoring, identity management, data privacy, software maintenance and secure deployments, organizations can confidently navigate the complexities of AI technology. As we stride into the future, let’s embrace these principles. Together, we can unlock the full potential of AI in a landscape of security, sustainability and symbiosis.
Your journey to a secure AI begins with finding the best approach to AI integration.
FAIR is built on decades of Rackspace Technology experience helping customers adopt, manage and optimize emerging technologies. We’ve been at the forefront of innovation since our founding in the late 1990s. We have a celebrated history of industry firsts, which includes being the first to offer web hosting and deliver a hosted private cloud, the launch OpenStack public cloud with NASA, and being one of the first companies to offer managed services for AWS, Google Cloud and Microsoft® Azure®. Now we are helping customers in their multicloud journey and enabling customer transformation through the rapid adoption of generative AI.
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