Sign in to unlock valuable content and features from our AI-driven platform. Receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Start your journey by entering your name and email address below:
Please confirm your email address!
We are going to send a confirmation email to your email address to let you receive timely technology updates and the latest information from the solution providers who can help you realize your goals.
Is this you? Please confirm your name and email address below to receive the requested information.
Please check this box to confirm that you are opting-in to receive communications from Consider I.T. Solutions and the data sharing outlined in our privacy policy.
Initializing
Loading
AI security and Zero Trust
AI is transforming security for both defenders and attackers. While AI tools can strengthen cyber defenses, they also introduce new threats that require a modern security framework. This whitepaper showcases why you should embrace Zero Trust to stay protected. Download your copy to learn how to adapt your security model to mitigate AI-driven risks while maintaining agility. Contact Consider I.T. Solutions to discuss applying these insights to your business.
Please enter your information below to access this content:
What is the relationship between AI and Zero Trust?
AI and Zero Trust have a symbiotic relationship where each enhances the other. AI thrives in the secure environment created by Zero Trust, which focuses on protecting assets and data rather than relying on traditional network perimeters. As AI introduces new challenges, Zero Trust adapts to meet these needs, ensuring a more resilient security framework.
Why is data security more important with AI?
AI amplifies the value of data, making it a more attractive target for cyber attackers. As Generative AI (GenAI) relies heavily on high-quality data for training, organizations must prioritize data classification and protection to mitigate risks. Poorly managed data can lead to unauthorized access and data leaks, emphasizing the need for robust data security strategies.
What is the shared responsibility model for AI security?
The shared responsibility model for AI security involves collaboration between organizations and their AI providers. Depending on the deployment type—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—the responsibilities vary. Organizations must manage their own data and application security while leveraging the embedded controls provided by AI platforms to ensure comprehensive protection.
AI security and Zero Trust
published by Consider I.T. Solutions
Consider I.T. Solutions are experts in offering support and guidance, whether it be a health analysis on existing systems to the aligning of the IT strategy with the business strategy.
We believe that an outside pair of eyes not only assists with building trust within existing systems but also allows for a fresh approach with endless options on delivering existing / planning new projects and ensuring goals are achieved efficiently and effectively.
.png "Consider I.T. Solutions")
Sign in with LinkedIn