Hacking the Hacker: How AI is Changing the Game of Penetration Testing
- Determining the feasibility of utilizing large language models (LLMs) for penetration testing and ethical hacking
- Exploring the art of the possible: How effective are LLMs in deciphering complex technical challenges, exploiting vulnerabilities and generating exploit scripts?
- What are the ethical considerations for testing and guidelines for responsible implementation
Kyle Haefner
Ph.D., Principal Architect
CableLabs
Gremlins in the Network: How Adversarial AI Can Evade Network Detection
- Understanding the role of network traffic analysis and adversarial AI in cybersecurity
- Deep dive: How can attackers manipulate network traffic data to bypass detection
- Developing potential defense mechanisms to improve the robustness of network traffic analysis against adversarial AI
Kyle Haefner
Ph.D., Principal Architect
CableLabs
Protecting Content with Enhanced Gini Entropy Analysis
- Developing a novel approach to security issues surrounding Digital Rights Management
- Using anonymized data from peripheral devices and user behavior to draw inferences on user characteristics and system conditions
Jeff Calkins
Lead Data Scientist
Charter Communications
