OmniSec: Closing the Knowledge Gap in Intrusion Detection
Leveraging LLMs to Automate Provenance-based Security Analysis
OmniSec introduces a breakthrough framework that integrates diverse security knowledge sources to enable fully automated intrusion detection using large language models.
- Addresses the "knowledge silos problem" that has limited previous provenance-based intrusion detection systems
- Systematically categorizes and utilizes different types of security knowledge to reduce manual intervention
- Employs LLMs as the integration mechanism for diverse knowledge sources, creating a more comprehensive detection capability
- Enables "last mile delivery" for automated endpoint threat analysis without human expertise requirements
This research represents a significant advancement for enterprise security teams seeking to automate threat detection while maintaining high accuracy and reducing analyst workload.