Artificial intelligence (AI) has transformed industries by driving innovation and efficiency across sectors. However, its rapid adoption has also exposed vulnerabilities that bad actors can exploit, making security a paramount concern. This article talks about the challenges and strategies to ensure robust security in AI systems.
Key Security Challenges in AI
1. Data Breaches and Privacy Violations
AI systems rely heavily on vast amounts of data, often including sensitive personal information. A breach in the data pipeline can result in significant privacy violations and financial losses.
This article has been indexed from DZone Security Zone