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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,…
