What do the terms artificial intelligence and machine learning mean to you? If what comes to mind initially involves robot butlers or rogue computer programs, you’re not alone. Even IT pros at large enterprise organizations can’t escape pop culture visions fed by films and TV.
But today, as cyberattacks against businesses and individuals continue to proliferate, technologies like AI and ML that can drastically improve threat detection, protection and prevention are critical. This is even more true as workforces continue to operate remotely in such numbers.
That’s why, for a few years now, we’ve been conducting surveys of IT professionals to determine their familiarity with, and attitudes toward, artificial intelligence (AI) and machine learning (ML). For the purposes of this report, we surveyed IT decision-makers at enterprises (1000+ employees), small and medium-sized businesses (<250 employees), and consumers (home users) throughout the U.S., U.K., Japan, and Australia/New Zealand.
As a result, we learn about:
We titled this year’s survey Fact or Fiction: Perceptions and Misconceptions of AI and Machine Learning and expanded it to include professionals in the enterprise, mid-market organizations and private individuals. It’s one of the largest and most thorough reports on the topic we’ve put together to date and is packed with interesting findings.
Historically, we’ve seen significant confusion surrounding AI and ML. IT professionals are generally aware that they’re in-use, but struggle to voice how they’re helpful or what it is exactly that they do. In Australia, for instance, while the bulk of IT decision makers employ AI/ML-enabled solutions, barely over half (51%) are comfortable describing what they do.
Nevertheless, adoption of AI/ML-enabled technologies continues to rise. Today, more than 93% of enterprise-level businesses report using them. Overall, slightly less than half (47%) call increasing adoption of AI/ML their number one priority for addressing cybersecurity concerns in the coming year.
Here are a few other key takeaways regarding enterprise attitudes toward AI/ML:
For the mid-market and individuals, another theme has persisted through our studies: overconfidence.
Among IT professionals at businesses with fewer than 250 employees, almost three-quarters (74%) of respondents believe their organizations are safe from most cyberattacks. But 48% have also admitted to falling victim to a data breach at least once. Interestingly, despite their confidence in their cybersecurity, the same respondents also believe their security situation has been worse by COVID-19.
Other notable findings among small and mid-sized businesses include:
Consumers continue to report abysmal habits in their personal online lives. Less than half use an antivirus or other security tool. Only 16% report using a VPN when connecting in public spaces and 48% have had data stolen at least once. On the brighter side, constant headlines concerning corporations leaking consumer data have made consumers wary about who they give their data to and how much. This healthy skepticism is a good sign as the next large data breach is likely just around the corner.
Some valuable learning from the consumer sector, and how it bleeds over into the corporate sector, include:
For the report’s complete findings, including a breakdown of cybersecurity spending by business size, download the full report.
Kyle Fiehler is a writer and brand journalist for Webroot. For over 5 years he’s written and published custom content for the tech, industrial, and service sectors. He now focuses on articulating the Webroot brand story through collaboration with customers, partners, and internal subject matter experts..