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Vineeth Sai Narajala

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Articles

Introducing the AI Agent Security Scanner for IDEs: Verify Your Agents

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By Vineeth Sai Narajala, Idan Habler
| Cisco Blogs
Special Thanks to Amy Chang, Arjun Sambamoorthy, Ruchika Pandey, Ben Risher, Adam Swanda AI-powered integrated developer environments (IDEs) like Cursor, VS Code, and Windsurf now include agents that utilize Model Context Protocol (MCP) servers, run skills, and generate entire codebases. But as these tools gain access to file systems, APIs, and shell commands, a dangerous model of implicit trust has emerged.
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Computer Science > Cryptography and Security

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By Vineeth Sai Narajala, Idan Habler, Sarthak Munshi
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Your Model's Memory Has Been Compromised: Adversarial Hubness in RAG Systems

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By Idan Habler, Vineeth Sai Narajala
| Cisco Blogs
This blog is jointly written by Amy Chang, Idan Habler, and Vineeth Sai Narajala. Prompt injections and jailbreaks remain a major concern for AI security, and for good reason: models remain susceptible to users tricking models into doing or saying things like bypassing guardrails or leaking system prompts. But AI deployments don’t just process prompts at inference time (meaning when you are actively querying the model): they may also retrieve, rank, and synthesize external data in real time.
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