6 papers
LAAF: Logic-layer Automated Attack Framework A Systematic Red-Teaming Methodology for LPCI Vulnerabilities in Agentic Large Language Model Systems
Hammad Atta, Ken Huang, Kyriakos Rock Lambros +11
Agentic LLM systems equipped with persistent memory, RAG pipelines, and external tool connectors face a class of attacks - Logic-layer Prompt Control Injection (LPCI) - for which n…
Capability-Priced Micro-Markets: A Micro-Economic Framework for the Agentic Web over HTTP 402
Ken Huang, Jerry Huang, Mahesh Lambe +8
This paper introduces Capability-Priced Micro-Markets (CPMM), a micro-economic framework designed to enable robust, scalable, and secure commerce among autonomous AI agents on the…
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI
Ken Huang, Kyriakos Rock Lambros, Jerry Huang +8
This paper introduces the Agentic AI Governance Assurance & Trust Engine (AAGATE), a Kubernetes-native control plane designed to address the unique security and governance challeng…
DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood +6
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning,…
Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems
Hammad Atta, Ken Huang, Manish Bhatt +3
The integration of large language models (LLMs) into enterprise systems has introduced a new class of covert security vulnerabilities, particularly within logic execution layers an…
QSAF: A Novel Mitigation Framework for Cognitive Degradation in Agentic AI
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood +5
We introduce Cognitive Degradation as a novel vulnerability class in agentic AI systems. Unlike traditional adversarial external threats such as prompt injection, these failures or…