Summary:
This article discusses the integration of artificial intelligence (AI) and large language models (LLMs) in cybersecurity, particularly in adversarial emulation and defense strategies. It highlights the challenges organizations face in processing vast amounts of unstructured data and demonstrates how AI can streamline data parsing to enhance security measures. The authors share case studies showcasing the application of LLMs in various stages of the attack lifecycle, emphasizing their potential to improve both red and blue team operations.
Keypoints:
- AI and LLMs can help organizations process and make sense of large volumes of security data.
- Efficient data parsing is crucial for identifying security threats and improving defenses.
- Case studies illustrate the use of LLMs in adversarial emulation engagements.
- Guardrails-ai is a Python library that helps structure outputs from LLMs for better data analysis.
- Initial reconnaissance, privilege escalation, and internal reconnaissance are key phases in the attack lifecycle.
- AI can assist in extracting valuable information from unstructured data, such as job titles from social media.
- Tools like Snaffler, TruffleHog, and Nosey Parker can help find credentials in files.
- BloodHound is a primary tool used for analyzing Active Directory and finding attack paths.
- Combining outputs from multiple tools can optimize the identification of credentials and high-value targets.
- Future work includes improving models and exploring additional data sources for enhanced cybersecurity practices.
MITRE Techniques:
- Initial Access (T1078): Use of valid accounts to gain access to systems.
- Credential Dumping (T1003): Extracting account login credentials from operating systems and software.
- Privilege Escalation (T1068): Exploiting a vulnerability to gain elevated access to resources.
- Active Directory Enumeration (T1087): Gathering information about Active Directory users and groups.
- Data from Information Repositories (T1213): Accessing and extracting data from file shares and repositories.
IoC:
- [Tool Name] guardrails-ai
- [Tool Name] Snaffler
- [Tool Name] TruffleHog
- [Tool Name] Nosey Parker
- [Tool Name] BloodHound
Full Research: https://cloud.google.com/blog/topics/threat-intelligence/ai-enhancing-your-adversarial-emulation/