Gaurav Malik explores how AI models analyze vulnerability data to predict exploitable exposures, demonstrating tools like Qualys TruRisk and Copilot that accelerate AppSec and SOC operations for predictive defense.
Cybersecurity teams face an overwhelming number of vulnerabilities, but only a small fraction pose real threats. The key challenge is no longer just identifying risks but prioritizing them effectively and demonstrating their reduction in business terms. In this session, we show how artificial intelligence is transforming cyber risk management.
In this session, you will:
- Explore how AI models analyze vulnerability data and threat intelligence to predict which exposures are most likely to be exploited;
- Discover real-world tools like Qualys TruRisk and Copilot that demonstrate how AI accelerates AppSec, SOC operations and vulnerability prioritization;
- Learn how to move from reactive patching to predictive defense and translate technical risks into business-ready metrics for executives.
Here is the course outline:
Smarter Risk Management With AI: From Predictive Defense to Prioritization and Quantification |
Completion
The following certificates are awarded when the course is completed:
 |
CPE Credit Certificate |
