Accelerate AI transformation with strong security
As AI reshapes industries, security teams face complex risks from data leakage to malicious AI applications. The whitepaper, "Accelerate AI Transformation with Strong Security" details strategies for securing AI adoption. Find out how your organization can safeguard sensitive information while leveraging AI for innovation. Download this essential resource to learn how Microsoft Security provides the tools and guidance you need to navigate these challenges. Contact CBA for a personalized consultation.
What are the main security concerns with AI adoption?
Security and risk leaders have identified several key concerns regarding AI adoption. The top issues include data leakage of sensitive information (63%), unauthorized access to sensitive data (60%), and inappropriate exposure of personal data (55%). Other notable concerns are the accuracy of insights generated by AI (43%) and the potential for harmful or biased outputs (41%).
How can organizations secure their AI applications?
Organizations can enhance the security of their AI applications by following four key steps: 1) Form a dedicated security team focused on AI, 2) Optimize resources to secure generative AI, 3) Implement a Zero Trust strategy, and 4) Adopt a comprehensive security solution tailored for AI.
What is the current state of GenAI adoption in organizations?
The adoption of generative AI is significant, with 95% of organizations either using or planning to develop GenAI applications. Among those, 66% are actively developing their own GenAI apps, indicating a strong push towards integrating AI into business processes to drive innovation and improve productivity.
Accelerate AI transformation with strong security
published by CBA
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