
Garrett
Bekker
CYBERSYMPOSIUMS
&
Anomaly Detection in Network Traffic: Utiizing machine learning algorithms to identify unusual pattems in network traffic that may indicate security breaches.
AI for Intrusion Detection Systems (IDS): How Al can improve the effectiveness of IDS by reducing false positives and identifying sophisticated attack vectors.
Automating Network Security Operations: The role of Al in automating routine network security tasks, such as log analysis and incident response.
Predictive Analytics for Network Threats: Leveraging Al to predict potential network threats based on historical data and emerging trends.
AI in Network Segmentation and Micro-Segmentation: Discussing how Al can assist in dynamically segmenting networks to limit lateral movement of attackers.
AI for Secure Network Configuration Management: How Al can help ensure secure configurations of network devices and reduce human error.
Behavioral Analysis for User and Entity Behavior Analytics (UEBA): Exploring how Al can analyze user and device behavior to detect insider threats and compromised accounts.
AI for Automated Vulnerability Management: Exploring how Al can identify and prioritize vulnerabilities in network devices and applications.
AI and Zero Trust Network Architectures: How AI can support the implementation of Zero Trust principles in network security.
Impact of AI on the Network Security Workforce: Analyzing how AI is transforming the skills and roles required in the network security field.
AI-Enhanced Network Monitoring and Visibility: Discussing how AI can provide better visibility into network activities and enhance monitoring capabilities.
Collaborative Defense Mechanisms in Network Security: How AI can facilitate collaboration between different security teams to create a more robust defense strategy.
AI for Network Traffic Analysis and Optimization: Exploring how Al can analyze network traffic to optimize performance while simultaneously identifying potential security threats.
AI-Driven Threat Detection and Response: Exploring how Al can enhance the detection of threats and automate responses in network security.