Implications of Generative AI for enterprise security
Energy firm Southern Company was a satisfied customer of Symantec® DLP for on-premises data loss prevention. When Southern Company needed a robust cloud security product, it again turned to Symantec DLP Cloud. Download this case study to learn how Symantec DLP uses Symantec DLP Cloud to protect cloud applications and data, ensure compliance, and benefit from comprehensive security with features such as OCR in the cloud, risk and user behavior analytics, and threat protection.
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Generative AI refers to a class of artificial intelligence that can create new content, such as text, images, or music, based on the data it has been trained on. Unlike traditional AI, which typically analyzes and processes existing data, Generative AI reimagines possibilities by generating original outputs, thereby transforming how we approach various tasks.
How does Generative AI impact enterprise security?
The adoption of Generative AI in enterprises requires a rethinking of security protocols. As this technology reshapes the landscape of data generation and manipulation, organizations must address potential vulnerabilities that could arise from misuse, such as the creation of deepfakes or automated phishing attempts. This necessitates a proactive approach to security measures.
What should businesses consider when implementing Generative AI?
When integrating Generative AI, businesses should consider the ethical implications, data privacy concerns, and the need for robust security frameworks. It's essential to establish guidelines that govern the use of this technology to ensure it is applied responsibly and does not compromise sensitive information or lead to unintended consequences.
Implications of Generative AI for enterprise security
published by Szymanski Consulting Inc
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