A new research study from BigID explores generative AI adoption, challenges, and outlook for organizations in 2024

BigID, the pioneer in AI-augmented data security, compliance, and privacy for modern cloud-first enterprises, published “The 2024 Global Report on Generative AI: Breakthroughs & Barriers.” This exclusive research, commissioned by BigID as an SAP Endorsed App partner, explores AI adoption trends, challenges, impact, and future plans of generative AI within organizations.

As organizations embrace the transformative power of Generative AI, managing the data that fuels these models is paramount. Security concerns surrounding AI have spurred rapid legislative responses like the EU AI Act and US Executive Orders, highlighting the need to mitigate potential risks.

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BigID streamlines security and risk management for organizations embarking on AI initiatives, enabling companies to govern and secure data that feeds GenAI, including Microsoft Copilot, ChatGPT, and other large language models (LLMs).  By granting comprehensive data visibility and control, BigID empowers organizations to ensure responsible and compliant AI adoption from the outset, streamlining discovery, risk management, and compliance processes for AI.

Key Findings:

• 83% of organizations are actively embracing or preparing for generative AI
• More than two-thirds of organizations rank data security risks as their top AI concern.
• 50% of organizations consider data security to be the number one challenge when implementing AI.
• Nearly 50% of organizations experience adverse business outcomes from AI usage, including data breaches.
• 73% of those surveyed lack full confidence in meeting future AI regulations.

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The adoption of generative AI within the workplace presents a unique set of challenges for organizations. While its potential to revolutionize productivity and operations is undeniable, ensuring the security, privacy, and responsible use of the data it leverages is critical.

“Generative AI offers tremendous opportunities for innovation and growth,” says Stephen Gatchell, BigID’s Sr. Data Advisory Director. “However, as our research shows, organizations must prioritize the data that fuels GenAI – and apply strong security, privacy, risk management, and compliance controls to that data in order to unlock the full potential of generative AI while mitigating the associated risks.”

This study explores the biggest challenges, the root cause of these issues, and actionable solutions to strengthen data security, privacy, management, and compliance in the age of AI.