2 citations · 6 across the 7 of their papers we have counts for
9 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…
Agent Capability Negotiation and Binding Protocol (ACNBP)
Ken Huang, Akram Sheriff, Vineeth Sai Narajala +1
As multi-agent systems evolve to encompass increasingly diverse and specialized agents, the challenge of enabling effective collaboration between heterogeneous agents has become pa…
COALESCE: Economic and Security Dynamics of Skill-Based Task Outsourcing Among Team of Autonomous LLM Agents
Manish Bhatt, Ronald F. Del Rosario, Vineeth Sai Narajala +1
The meteoric rise and proliferation of autonomous Large Language Model (LLM) agents promise significant capabilities across various domains. However, their deployment is increasing…
ETDI: Mitigating Tool Squatting and Rug Pull Attacks in Model Context Protocol (MCP) by using OAuth-Enhanced Tool Definitions and Policy-Based Access Control
Manish Bhatt, Vineeth Sai Narajala, Idan Habler
The Model Context Protocol (MCP) plays a crucial role in extending the capabilities of Large Language Models (LLMs) by enabling integration with external tools and data sources. Ho…
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control
Ken Huang, Vineeth Sai Narajala, John Yeoh +6
Traditional Identity and Access Management (IAM) systems, primarily designed for human users or static machine identities via protocols such as OAuth, OpenID Connect (OIDC), and SA…
Agent Name Service (ANS): A Universal Directory for Secure AI Agent Discovery and Interoperability
Ken Huang, Vineeth Sai Narajala, Idan Habler +1
The proliferation of AI agents requires robust mechanisms for secure discovery. This paper introduces the Agent Name Service (ANS), a novel architecture based on DNS addressing the…
Securing Agentic AI: A Comprehensive Threat Model and Mitigation Framework for Generative AI Agents
Vineeth Sai Narajala, Om Narayan
As generative AI (GenAI) agents become more common in enterprise settings, they introduce security challenges that differ significantly from those posed by traditional systems. The…
Enterprise-Grade Security for the Model Context Protocol (MCP): Frameworks and Mitigation Strategies
Vineeth Sai Narajala, Idan Habler
The Model Context Protocol (MCP), introduced by Anthropic, provides a standardized framework for artificial intelligence (AI) systems to interact with external data sources and too…
Securing GenAI Multi-Agent Systems Against Tool Squatting: A Zero Trust Registry-Based Approach
Vineeth Sai Narajala, Ken Huang, Idan Habler
The rise of generative AI (GenAI) multi-agent systems (MAS) necessitates standardized protocols enabling agents to discover and interact with external tools. However, these protoco…