Published: 12 June 2024
The embedded approach to building GenAI applications and AI agents’ external collaboration introduces new cross-organizational security risks that may cause sensitive data leakage and business disruption. Product leaders can use this research to develop “guardrail” products that control risks.
Gartner’s 2023 AI in the Enterprise Survey shows the most common way to fulfill generative AI (GenAI) use cases is to embed large language models (LLMs) into existing applications. This will create new security attack surfaces and lead to risks such as data loss/leakage, API attacks and compromised model safety.
The Google search volume of “AI agents” doubled between December 2023 and April 2024, indicating enterprises’ interest in AI agents is growing. However, the adoptionof AI agents will create emerging security riskswhen they have external collaborations, resulting in possible workflow disruption and data loss/leakage.
Product leaders responsible for ensuring
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Analysts:
Evan Zeng, Lawrence Pingree
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