Info-Tech Research Group’s Blueprint Addresses Security and Privacy Risks for Generative AI in Organizations

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Info-Tech Research Group Publishes How to Approach Unauthorized Use and Governance Concerns

  • Generative AI poses significant data security risks for organizations
  • Early adopters may lack the necessary security infrastructure to mitigate these risks
  • Info-Tech Research Group releases a blueprint for addressing security and privacy risks for Generative AI
  • The firm emphasizes the importance of prioritizing which risks to address first
  • Info-Tech Research Group Publishes How to Approach Unauthorized Use and Governance Concerns

    As organizations increasingly harness the benefits of generative AI (Gen AI), they are simultaneously encountering significant risks and challenges, particularly around data confidentiality and integrity. Many early adopters are finding themselves without the necessary security infrastructure to effectively mitigate these risks, leading to potential unauthorized AI use and the subsequent need for retroactive governance measures. In light of these challenges, Info-Tech Research Group has released its latest blueprint Address Security and Privacy Risks for Generative AI.

    Addressing Immediate Gen AI-Related Security Concerns

    The firm’s latest research highlights the critical data security risks posed by generative AI, emphasizing the importance for organizations to proactively identify these risks and implement effective protective measures.

    “When it comes to using generative AI, the benefits are tangible, but the risks are plentiful, and the tactics to address those risks directly are few,” says Logan Rohde, senior research analyst at Info-Tech Research Group. “Most risks associated with Gen AI are data-related, meaning that effective AI security depends on existing maturity elsewhere in a security program. But if the data security controls are a bit lacking, it doesn’t imply that all hope is lost.”

    The firm cautions that the challenge lies in prioritizing which risks to address first, especially as robust data security measures are needed to mitigate the inherent dangers associated with this emerging technology. Without a straightforward policy, Gen AI could create user confusion about the organization’s stance on the usage. Moreover, Info-Tech’s research shows that this technology, if not properly governed, could unintentionally make it easier for bad actors to carry out a variety of cyberattacks.

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