concern , with 50 % of respondents expressing worry about potential misuse within their organisations .

Moreover , the study emphasises the importance of data quality and integrity in the success of GenAI initiatives . A resounding 74 % of respondents stress that GenAI ’ s effectiveness heavily depends on the quality of data utilised by organisations . This underscores the indispensable role of data governance and management in ensuring the efficacy of GenAI applications .

David Cummins , Senior VP of EMEA at Tenable

Despite this surge in adoption , the study also reveals a worrying trend , as only 17 % of organisations demonstrate high confidence in effectively implementing GenAI technologies .

The data is drawn from a global study titled How to Discover , Analyze and Respond to Threats Faster with Generative AI , a commissioned study of 826 IT and cybersecurity professionals at large enterprises in Australia , Brazil , France , Germany , India , Mexico , Saudi Arabia , Japan , the UK and US , conducted in October 2023 by Forrester Consulting on behalf of Tenable . The research sheds light on the growing adoption of GenAI within businesses , marking a significant pivot in their strategic focus .

The study reveals a sense of hopeful anticipation among security leaders regarding the capacity of GenAI to enhance security measures . Nevertheless , it also accentuates the intricate nature of the path towards AI integration , as organisations navigate the delicate balance between innovation and potential risks .

An aspect of concern highlighted by the study is the perception of GenAI as a greater security threat than an opportunity among 41 % of organisations . This sentiment reflects widespread apprehension regarding cybersecurity risks associated with GenAI implementation . Additionally , internal misuse of GenAI emerges as a prominent

“ While GenAI offers immense benefits , there are also serious concerns surrounding security , governance and data quality ,” said David Cummins , Senior VP of EMEA at Tenable . “ GenAI can help bring data together from various sources , making it easier for organisations to understand and manage these complexities . However , it ’ s imperative that these decisions are based on reliable data . If you have unique data then you ’ re going to have unique intelligence guiding decisions – or ‘ gold in , gold out ’.

“ Every organisation ’ s attack surface is expanding given the growing use of cloud services , virtualisation platforms , microservices , applications and code libraries . This means organisations face vulnerabilities , cloud misconfigurations , and risks tied to identity access , groups and permissions . Harnessed correctly , GenAI can help security teams quickly identify exposures , prioritise actions and see connections across the entire attack surface .” �

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