Adrian Johnson
TLDR:
- Building overlapping network detection methods is crucial to catch stealthy attackers.
- Using multiple types of solutions can help analysts triage alerts and focus on imminent threats.
Phil Owens, VP of customer solutions for Stamus Networks, emphasizes the importance of continuous network detection and monitoring at Black Hat 2024. He suggests that by integrating multiple best of breed detection solutions, analysts can gain different viewpoints and get closer to the truth of the network. Owens acknowledges the challenges posed by AI in generating a large number of alerts but emphasizes the value of using various detection methods to reduce noise and focus on critical threats. With over 25 years of experience in IT, networking, and cybersecurity, Owens brings a wealth of knowledge to the discussion on improving network security.
Key Points:
“The network is the truth of what’s going on,” says Phil Owens, VP of customer solutions for Stamus Networks, stressing the importance of network detection in cybersecurity.
Owens advocates for the use of multiple detection methods to help analysts prioritize alerts and focus on the most dangerous threats on the network.
By combining signature-based detection with other types of machine learning algorithms, analysts can effectively manage and reduce the number of alerts generated by AI systems.
Author:
Terry Sweeney, a contributing editor with expertise in technology, networking, and security, conducted the interview with Phil Owens at Black Hat USA.
Sweeney has extensive experience covering cybersecurity threats, vulnerabilities, and emerging trends, making him a trusted source for information security-related insights.
