This blog was orignially published on ISACA Now.
In many spheres of employment, the application of Artificial Intelligence (AI) technology is creating a growing fear. Kevin Maney of Newsweek vividly summarized the pending transformation of employment and the concerns it raises in his recent article "How artificial intelligence and robots will radically transform the economy."
In the Information Security (InfoSec) community, AI is commonly seen as a savior – an application of technology that will allow businesses to more rapidly identify and mitigate threats, without having to add more humans. That human factor is commonly seen as a business inhibitor as the necessary skills and experience are both costly and difficult to obtain.
As a consequence, over the last few years, many vendors have re-engineered and re-branded their products as employing AI – both as a hat-tip to their customer’s growing frustrations that combating every new threat requires additional personnel to look after the tools and products being sold to them, and as a differentiator amongst “legacy” approaches to dealing with the threats that persist despite two decades of detection innovation.
The rebranding, remarketing, and inclusion of various data science buzzwords – machine intelligence, machine learning, big data, data lakes, unsupervised learning – into product sales pitches and collateral have made it appear that security automation is the same as AI security.