July 17, 2024 at 12:08PM
Enterprise security teams are increasingly addressing the risks associated with the use of AI-enabled applications. An analysis by Netskope found that organizations are implementing controls such as blocking policies and data loss prevention tools to protect against the sending of sensitive data to AI apps. The focus is now shifting towards mitigating risks related to the data received from AI services.
Based on the meeting notes, here are the key takeaways:
1. More enterprise security teams are adopting controls and tools to mitigate risks associated with the use of AI-enabled applications, such as blocking controls, data loss prevention (DLP) tools, and live coaching mechanisms.
2. There is a focus on protecting against users sending sensitive data to AI apps, leading to an increase in the use of block/allow policies and DLP tools among organizations.
3. The most frequently blocked GenAI applications include Beautiful.ai, Writesonic, Craiyon, and Tactiq. These apps are being actively managed due to security concerns.
4. There is a growing attention to mitigating the risks associated with the data received from GenAI services, such as addressing factually incorrect or biased data and manipulated results.
5. Overall, there has been a significant increase in the adoption and use of GenAI apps among organizations, with a focus on controlling sensitive data sent to these apps and reviewing policies as the landscape continues to evolve.
These takeaways reflect the increasing focus on managing security risks associated with the use of AI-enabled applications within enterprise organizations.