Top security and governance concerns about generative AI
Generative AI offers exciting possibilities, but also creates new security challenges. This infographic highlights the top concerns business leaders have flagged, including data leaks, risky AI use, and governance gaps. View the infographic to understand these challenges and contact Betasoft Limited for tailored guidance on implementing secure generative AI.
Concerns About Data Leakage
A significant number of leaders, as highlighted in the First Annual Generative AI study, identified the leakage of sensitive data as their primary concern. This underscores the importance of implementing robust security measures to protect sensitive information when using generative AI.
Identifying Risky AI Users
According to the Microsoft Data Security Index 2024 report, security leaders have indicated that identifying risky users based on their queries into AI is a top priority. Implementing controls to monitor and assess user interactions with AI can help mitigate potential risks.
AI Governance and Risk Management
Organizations are looking to enhance their confidence in managing and discovering data input into AI applications and tools. This desire for improved governance and risk visibility is crucial for ensuring that AI technologies are used responsibly and securely.
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