Published: 07 October 2024
GenAI deployment and adoption are accelerating and introducing new security and privacy risks that GenAI trust, risk and security management startups are addressing. This research examines solutions product leaders can use to act on early trends and capitalize on emerging risks and opportunities.
Generative AI (GenAI) implementations involve significant data transactions involving prompts, data retrieval techniques, and data for fine-tuning and training of foundational models. These implementations will expand the scope of data security and privacy use cases.
GenAI TRiSM capabilities among early startups are fragmented, and they are increasingly associated withAI application security as GenAI application implementationsevolve. The race for GenAI TRiSM coverage will hasten the focus of technology providers in high-impact areas.
Cloud service providers are offering cloud AI services that incorporate security features and capabilities that sometimes overlap with those being offered by startups within GenAI TRiSM.
Regulatory compliance is
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Analysts:
Mark Wah, Lawrence Pingree
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