3 papers
cs.CR2026
Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety
Michele Guida, Ruslan Shikhhamzayev, Sindhuja Penchala +4
Large language models (LLMs) can be induced to produce harmful content through multi turn strategies in which no single user message appears clearly unsafe. Existing runtime safegu…
cs.CR2026
Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response
Raj Patel, Shaswata Mitra, Michele Guida +3
Enterprise intrusion response still depends on static playbooks and analyst-driven triage, creating delay between alert generation and containment. We present Agentra, a supervisab…
cs.CR2022
An Intrusion Response System utilizing Deep Q-Networks and System Partitions
Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci +4
Intrusion Response is a relatively new field of research. Recent approaches for the creation of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary techn…