  We describe Panacea, a system that supports natural language processing (NLP)
components for active defenses against social engineering attacks. We deploy a
pipeline of human language technology, including Ask and Framing Detection,
Named Entity Recognition, Dialogue Engineering, and Stylometry. Panacea
processes modern message formats through a plug-in architecture to accommodate
innovative approaches for message analysis, knowledge representation and
dialogue generation. The novelty of the Panacea system is that uses NLP for
cyber defense and engages the attacker using bots to elicit evidence to
attribute to the attacker and to waste the attacker's time and resources.
