Machine Learning in Cybersecurity Market

Question ^*

What are your biggest concerns regarding the use of Machine Learning in cybersecurity?

1. a) Accuracy and reliability of results, b) Explainability and transparency of decisions, c) Potential for adversarial attacks/evasion, d) Data privacy and security, e) Integration with existing systems, f) Cost and return on investment, g) Lack of internal expertise, h) Other (please specify)

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Question ^*

Which cybersecurity areas pose the biggest challenge for your organization?

1. a) Threat Detection & Prevention, b) Vulnerability Management, c) Incident Response & Remediation, d) Data Loss Prevention, e) Security Awareness Training, f) Cloud Security, g) Other (please specify)

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Question ^*

What are your biggest limitations or frustrations with your current cybersecurity tools/processes?

1. a) High rate of false positives/negatives, b) Lack of automation, c) Difficulty in analyzing large volumes of data, d) Shortage of skilled cybersecurity professionals, e) Inability to adapt to evolving threats, f) High costs and complexity, g) Other (please specify)

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Question ^*

To what extent would you value improved capabilities in the following areas, offered through Machine Learning? (Scale: Not Important, Slightly Important, Moderately Important, Very Important, Extremely Important)

1. a) Automated Threat Hunting, b) Predictive Risk Assessment, c) Real-time Anomaly Detection, d) Automated Incident Response, e) Enhanced Vulnerability Prioritization, f) Adaptive Security Controls

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Question ^*

What types of data sources would be most valuable for Machine Learning-based cybersecurity solutions in your organization?

1. a) Network traffic logs, b) Endpoint security logs, c) Security Information and Event Management (SIEM) data, d) Cloud infrastructure logs, e) Application logs, f) Threat intelligence feeds, g) Vulnerability scan results, h) Other (please specify)

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