SHIELD integrates large language models with system activity monitoring to detect and explain Advanced Persistent Threats with higher accuracy and interpretability.

• Reduces false positives while maintaining high detection accuracy for sophisticated cyber attacks
• Provides human-readable explanations of detected threats using natural language processing
• Operates without supervision to identify novel attacks beyond pre-defined patterns
• Enhances security operations by enabling faster, more informed threat response decisions

Security teams can leverage SHIELD to dramatically improve threat detection capabilities while gaining actionable insights into attack patterns and methodologies.

SHIELD: APT Detection and Intelligent Explanation Using LLM