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Trace Integrity for LLM Data Agents: Auditing Structured-Data Computation Beyond Answer Accuracy in Real-World Systems
Srimonti Dutta, Akshata Kishore Moharir
Large language model (LLM) data agents answer structured-data questions by generating SQL, invoking tools, executing queries, and summarizing results. In operational settings, reli…
AgentRiskBOM: A Risk-Scoping Security Bill of Materials for Agentic AI Systems
Srimonti Dutta, Akshata Kishore Moharir
Agentic AI systems retrieve private context, invoke tools, write files, call external services, coordinate with other agents, and may act without human approval. Existing bill of m…
Stability vs. Manipulability: Evaluating Robustness Under Post-Decision Interaction in LLM Judges
Srimonti Dutta, Akshata Kishore Moharir
LLM-as-judge evaluation is widely used in benchmarking pipelines, where model outputs are compared and ranked using automated evaluators. These pipelines typically assume that judg…
EchoGuard: An Agentic Framework with Knowledge-Graph Memory for Detecting Manipulative Communication in Longitudinal Dialogue
Ratna Kandala, Niva Manchanda, Akshata Kishore Moharir +1
Manipulative communication, such as gaslighting, guilt-tripping, and emotional coercion, is often difficult for individuals to recognize. Existing agentic AI systems lack the struc…