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In this final blog of my 4-part series about The State of AI in Cybersecurity, we take a look at Aberdeen’s research findings about the leading AI / ML-enabled solution categories, both current and planned. In case you missed them, here are the first three:
As part of our State of AI in 2023 dataset, Aberdeen asked respondents about the current and planned use of a dozen cybersecurity solution categories — selected in large part because, for several years, leading solution providers in these categories have already been incorporating traditional AI / ML-based capabilities:
| Network Security (e.g., monitoring, detection, response)#1 |
Data Protection (e.g., DLP)#2 |
Endpoint Security
#4 |
Cybersecurity Posture Ratings (e.g., “risk scoring”)#5 |
| Information / Event Management
#6 |
Insider Risk (e.g., user behaviors)#8 |
Application Security (e.g., Software Composition Analysis)#7 |
Bad Bot Detection and Mitigation#12 |
| Log Management
#9 |
Identities and Access (e.g., adaptive authentication, credential stuffing / ATO prevention)#10 |
Email / Web Security (e.g., anti-phishing)#3 |
Counter-Fraud
#11 |
Source: The State of AI 2023; Aberdeen,…
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