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Getting Started with AI Applications
AI is here, and so are new risks. This eBook identifies the top 3 threats organizations must address to secure AI adoption: Shadow AI, emerging attacks, and compliance gaps. Download the eBook to get a phased strategy rooted in Zero Trust and learn how to start safely. Contact Servum, LLC for personalized guidance on implementing secure AI practices.
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What are the main risks associated with AI applications?
The main risks associated with AI applications include data leakage and oversharing, emerging threats and vulnerabilities, and compliance challenges. Data leakage can occur when employees use unapproved tools, exposing sensitive information. Emerging threats, such as prompt injection attacks, can manipulate AI systems, while compliance challenges arise from navigating evolving regulations like the EU AI Act.
How can organizations secure their AI applications?
Organizations can secure their AI applications by adopting a phased approach grounded in Zero Trust principles. This includes creating governance frameworks to control AI usage, effectively managing AI workloads, and implementing robust security controls to protect sensitive data. Regular monitoring and risk assessments are also essential to safeguard the AI environment.
What is the significance of the EU AI Act?
The EU AI Act is significant because it sets a global benchmark for AI regulation, establishing standards for the safe, transparent, and accountable use of AI. It requires organizations to implement strong governance frameworks, maintain detailed documentation, and ensure transparency in AI decision-making processes, helping them manage compliance and build trust with customers.
Getting Started with AI Applications
published by Servum, LLC
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