TechNet Augusta 2024 Supporting Partner Opportunities

AFCEA Preferred Provider Session: Incident Response in the Land of Hybrid AI Infrastructures

Description

Organizations today operate within a multifaceted IT ecosystem, encompassing diverse operating systems, on-site data centers, cloud environments, and increasingly, large language models (LLMs) and datasets. This hybrid AI infrastructure introduces unique challenges and considerations for incident response. 
 
This presentation delves into the complexities of incident response in this evolving landscape, emphasizing the importance of adaptability, specialized knowledge, and robust security measures.  
 
In this Presentation learners will gain knowledge of:
 
1)  Attack methods used by AI attackers:
     a. Automated Phishing attacks
     b. Malware creation and evasion
     c. Vulnerability Scanning and exploitation
     d. Social engineering
     e. Improved DDOS attacks
     f.  Cryptojacking

2)  Attacks on Large Language Models
     a. Prompt Injection Attacks
     b. Data poisoning attacks
     c. Model Extraction Attacks
     d. Membership inference attacks
     e. Adversarial attacks
     f.  Prompt leaking

3)  Challenges of Hybrid AI Infrastructures
4)  Adapting Incident Response Strategies
5)  Tools and Technologies
6)  Skills needed for effective Hybrid AI incident response
 
Incident response in the era of hybrid AI infrastructures demands a nuanced approach that addresses the unique challenges of diverse systems, data repositories, and AI models. By adapting strategies, investing in appropriate tools, and prioritizing collaboration, organizations can effectively respond to incidents, safeguard their AI assets, and maintain trust in their AI-driven operations.

Listen to recording

Tracks:

• 
  Artificial Intelligence
• 
  Continuing Education

Handouts

• Incident Response in the Land of Hybrid AI Infrastructures