5 citations · 9 across the 5 of their papers we have counts for
7 papers
A2AS: Agentic AI Runtime Security and Self-Defense
Eugene Neelou, Ivan Novikov, Max Moroz +15
The A2AS framework is introduced as a security layer for AI agents and LLM-powered applications, similar to how HTTPS secures HTTP. A2AS enforces certified behavior, activates mode…
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…
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…
ADA: Automated Moving Target Defense for AI Workloads via Ephemeral Infrastructure-Native Rotation in Kubernetes
Akram Sheriff, Ken Huang, Zsolt Nemeth +1
This paper introduces the Adaptive Defense Agent (ADA), an innovative Automated Moving Target Defense (AMTD) system designed to fundamentally enhance the security posture of AI wor…
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…
Building A Secure Agentic AI Application Leveraging A2A Protocol
Idan Habler, Ken Huang, Vineeth Sai Narajala +1
As Agentic AI systems evolve from basic workflows to complex multi agent collaboration, robust protocols such as Google's Agent2Agent (A2A) become essential enablers. To foster sec…