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Accelerate AI transformation with strong security
AI adoption is accelerating, and so are the risks. Security and risk leaders need strategies to address threats like data leakage, regulatory non-compliance, and AI model vulnerabilities. This whitepaper combines research insights from over 400 security leaders with actionable steps for organizations looking to innovate safely. Download the whitepaper to gain guidance on mitigating risks and effectively securing your AI systems. Contact CBA to discuss how we can help strengthen your AI security strategy.
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What are the main security concerns with AI adoption?
Security leaders are primarily concerned about data security issues, including the leakage of sensitive data (63%), oversharing of sensitive information (60%), and inappropriate use or exposure of personal data (55%). Other notable concerns include the inaccuracy of insights generated by AI (43%) and harmful or biased outputs (41%).
How can organizations secure their AI applications?
Organizations can follow four key steps to enhance AI security: 1) Form a dedicated security team for 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?
According to recent surveys, 95% of organizations are either using or planning to develop GenAI applications. Notably, 66% of respondents reported that their organizations are actively developing or planning to develop their own GenAI apps, highlighting a significant trend towards AI integration in business operations.
Accelerate AI transformation with strong security
published by CBA
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