Proof Point
Nine in ten cybersecurity professionals surveyed by Cisco at least somewhat reliant on automation, AI, and machine learning technologies to defend their organizations from cyber threats
Automated Technologies Used by Security Professionals to Defend Against Cyber Threats
2018 (percentage of respondents)
| Note: | Data based on Cisco’s 2018 Security Capabilities Benchmark Study (SCBS), which surveyed 3,600 chief security officers (CSOs) and security operations (SecOps) managers from 26 countries. Survey question asked cybersecurity professionals’ level of reliance on digital technologies that automate collection and analysis of cyber threat data, as well as implementation of protections for computer systems |
Proof Point Findings
- Automation – 97% of cybersecurity professionals in Cisco survey use at least some form of automation to defend their organizations against cyberthreats, with four in ten completely reliant on the technology
- Machine Learning – Majority (95%) also use machine learning in some form, where machines learn to detect patterns in encrypted web traffic, cloud, and IoT environments
- Artificial Intelligence – Most (91%) also leverage artificial intelligence to detect and defend against anomalies, with 32% fully depending on such technologies
- Key Growth Drivers – Include increasing number and sophistication of global cyberattacks and growing volume of data and business processes migrated to cloud
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Business Model and Practices Business Model |
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Cross-sector
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Date Last Updated |
September 14, 2018
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