A new neurosymbolic framework has been developed to enhance the security of AI-powered Security Operations Centers (SOCs). This framework addresses vulnerabilities like prompt injection by employing a two-layer defense system. The first layer uses SIEM decoders for deterministic filtering of log data, while the second layer utilizes NeMo Guardrails to enforce semantic boundaries before data reaches the LLM. This approach aims to provide a more resilient and observable defense against sophisticated cyber threats. AI
IMPACT This framework could significantly improve the security posture of AI systems used in critical infrastructure like security operations centers.
RANK_REASON The cluster contains an academic paper detailing a new technical framework. [lever_c_demoted from research: ic=1 ai=1.0]
- Large Language Models
- MITRE ATLAS
- NeMo Guardrails
- prompt injection
- promptware
- security operations centers
- SIEM
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