whitepaper-ai-and-zero-trust-roadmap-final.pdf
AI is changing the security landscape, bringing both opportunities and risks. Traditional defences no longer suffice as attackers increasingly leverage AI-driven threats. How can businesses keep up?
Microsoft's whitepaper provides a roadmap for integrating Zero Trust security principles with AI-driven strategies, ensuring robust protection across networks, data, and AI applications. Download it today. Need guidance? Contact Support on the Spot to explore tailored security strategies.
What is the relationship between AI and Zero Trust?
AI and Zero Trust have a symbiotic relationship where each enhances the other. Zero Trust provides a secure environment that AI can thrive in, while AI helps to evolve Zero Trust to meet new challenges. This partnership is essential for adapting security strategies to protect data and applications effectively in today's landscape.
Why is data security more critical with AI?
AI amplifies the value of data, making it a prime target for cyber attackers. As Generative AI (GenAI) relies heavily on high-quality data for training, the need for robust data classification and protection becomes crucial. Organizations must prioritize data security to mitigate risks associated with unauthorized access and data leaks.
What is the shared responsibility model for AI security?
The shared responsibility model outlines that security for AI systems is a partnership. Organizations are responsible for securing their data, applications, and usage of AI, while providers like Microsoft manage the underlying infrastructure and safety systems. Understanding this model is essential for effective security planning and investment.
whitepaper-ai-and-zero-trust-roadmap-final.pdf
published by Support on the Spot
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