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As organizations integrate Generative AI (GenAI) into their operations, Chief Information Security Officers (CISOs) face mounting challenges in ensuring AI systems are secure, compliant, and ethically deployed.
This data sheet provides a concise, cloud-focused guide to help CISOs navigate these complexities.
This one-pager delivers an at-a-glance overview of:
• Essential AI Terminology: From Large Language Models (LLMs) to adversarial attacks, gain a quick reference of the most critical AI concepts every security leader must understand.
• Regulatory Compliance: Stay aligned with evolving global regulations like the EU AI Act and the NIST AI Risk Management Framework (RMF).
• Risk Management Strategies: Learn how to mitigate key threats, including AI bias, misinformation, security vulnerabilities, and adversarial attacks.
• Ethical AI Deployment: Ensure fairness, transparency, and accountability in AI-powered applications.
• Trust & Transparency: Discover best practices for fostering stakeholder confidence in AI-driven decision-making.
Why Download This Guide?
AI governance is no longer a theoretical discussion—it’s a business imperative. With organizations rapidly adopting GenAI for automation and decision-making, security leaders must establish clear policies, frameworks, and oversight mechanisms to prevent reputational damage and regulatory penalties.
By downloading this concise, cloud-focused guide, CISOs and security teams will walk away with a clear roadmap to governing AI effectively, reducing risk exposure, and maintaining compliance in an ever-evolving AI landscape.
Stay ahead of AI governance challenges—download your free copy today!
