This will be critically important in
Posted: Thu Feb 13, 2025 5:35 am
By achieving data access governance and data security practices further left in the data stream, data users ensure that the proper policies are attached, and applied, throughout the data journey to the cloud and to the data users themselves. 2024, because sensitive and regulated data left unprotected prior to reaching the cloud data warehouse means that data is at a high risk of exposure.
While AI and LLMs continue to increase in popularity, so malaysia whatsapp number data will the potential danger: With the rapid rise of AI and LLMs in 2023, the business landscape has undergone a profound transformation, marked by innovation and efficiency. But this quick ascent has also given rise to concerns about the utilization and the safeguarding of sensitive data. Unfortunately, early indications reveal that the data security problem will only intensify next year. When prompted effectively, LLMs are adept at extracting valuable insight from training data, but this poses a unique set of challenges that require modern technical solutions. As the use of AI and LLMs continues to grow in 2024, it will be essential to balance the potential benefits with the need to mitigate risks and ensure responsible use.
Without stringent data protection over the data that AI has access to, there is a heightened risk of data breaches that can result in financial losses, regulatory fines, and severe damage to the organization’s reputation. There is also a dangerous risk of insider threats within organizations, where trusted personnel can exploit AI and LLM tools for unauthorized data sharing whether it was done maliciously or not, potentially resulting in intellectual property theft, corporate espionage, and damage to an organization’s reputation.
While AI and LLMs continue to increase in popularity, so malaysia whatsapp number data will the potential danger: With the rapid rise of AI and LLMs in 2023, the business landscape has undergone a profound transformation, marked by innovation and efficiency. But this quick ascent has also given rise to concerns about the utilization and the safeguarding of sensitive data. Unfortunately, early indications reveal that the data security problem will only intensify next year. When prompted effectively, LLMs are adept at extracting valuable insight from training data, but this poses a unique set of challenges that require modern technical solutions. As the use of AI and LLMs continues to grow in 2024, it will be essential to balance the potential benefits with the need to mitigate risks and ensure responsible use.
Without stringent data protection over the data that AI has access to, there is a heightened risk of data breaches that can result in financial losses, regulatory fines, and severe damage to the organization’s reputation. There is also a dangerous risk of insider threats within organizations, where trusted personnel can exploit AI and LLM tools for unauthorized data sharing whether it was done maliciously or not, potentially resulting in intellectual property theft, corporate espionage, and damage to an organization’s reputation.