What is the future of vulnerability scanning in cybersecurity?
The future of vulnerability scanning is likely to involve more automation, AI-driven insights, and continuous monitoring.
How will AI improve vulnerability scanning processes?
AI can enhance vulnerability scanning by identifying patterns, predicting potential threats, and prioritizing vulnerabilities based on risk.
What are the challenges in implementing AI for vulnerability scanning?
Challenges include data quality, integration with existing systems, and the need for skilled personnel to interpret AI findings.
Can you give examples of AI tools used in vulnerability scanning?
Sure! Tools like Darktrace, Qualys, and Rapid7 use AI to enhance their vulnerability scanning capabilities.
What trends should we watch for in vulnerability scanning?
Key trends include increased use of machine learning, real-time scanning, and a shift towards proactive security measures.
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