Security
AI and security: it’s complicated but doesn’t need to be
Clyde Williamson, chief security architect and Nathan Vega, vice president,
product marketing and strategy at Protegrity looks at what often seems to be a complex relationship between AI and security.
A Clyde Williamson and Nathan Vega, Protegrity
I is growing in popularity and this trend is only set to continue. Tis is supported by Gartner which states that approximately 80% of enterprises will have used generative
artificial intelligence (GenAI) application programming interfaces (APIs) or models by 2026. However, AI is a broad and ubiquitous term, and, in many instances, it covers a range of technologies. Nevertheless, AI presents breakthroughs in the ability to process logic differently which is attracting attention from businesses and consumers alike who are experimenting with various forms of AI today. At the same time, this technology is attracting similar attention from threat actors who are realising that it could be a weakness in a company’s security while it could also be a tool that helps companies to identify these weaknesses and address them.
Security challenges of AI One way that companies are using AI is to review large data sets to identify patterns and sequence data accordingly. Tis is achieved by creating tabular datasets that typically contain rows and rows of data. While this has significant benefits for companies, from
38 | January/February 2024
www.pcr-online.biz
Page 1 |
Page 2 |
Page 3 |
Page 4 |
Page 5 |
Page 6 |
Page 7 |
Page 8 |
Page 9 |
Page 10 |
Page 11 |
Page 12 |
Page 13 |
Page 14 |
Page 15 |
Page 16 |
Page 17 |
Page 18 |
Page 19 |
Page 20 |
Page 21 |
Page 22 |
Page 23 |
Page 24 |
Page 25 |
Page 26 |
Page 27 |
Page 28 |
Page 29 |
Page 30 |
Page 31 |
Page 32 |
Page 33 |
Page 34 |
Page 35 |
Page 36 |
Page 37 |
Page 38 |
Page 39 |
Page 40 |
Page 41 |
Page 42 |
Page 43 |
Page 44 |
Page 45 |
Page 46 |
Page 47 |
Page 48 |
Page 49 |
Page 50 |
Page 51 |
Page 52
