Net Immune: An Autonomous Multi-agent Ai System For Real-time Endpoint Threat Neutralization

• Author(s):

  Mrs. G. Nandhini | Kamalesh S | John Peter V | Junaid Ahmed J | Lingesh M

• Keywords:

  EDR, LLM, Cyber Security, Clipboard Security, Multi-Agent System, XAI, Zero-Day Detection

• Abstract:

  Most Antivirus Programs Today Work By Matching Files Against A List Of Known Viruses. This Approach Fails When A New Virus Appears Or When Malware Changes Its Code. Also, Nobody Checks What Users Copy To Their Clipboard. If Someone Copies A Phishing Link From A Website Or A Scam Message From WhatsApp, Their Antivirus Ignores It Completely.We Built Net Immune To Solve These Problems. It Is A Security App For Windows 10 And 11 That Runs Six Small Monitoring Programs In The Background. These Watch Your Clipboard, Downloads Folder, USB Drives, Browser Tabs, Running Processes, And A Special Drop Folder. When Something Looks Suspicious, The App Sends The Data To Meta's Llama-3.3 70B AI Through Groq Cloud. The AI Reads The Text And Tells Us If It Is Dangerous. If It Finds A Threat, Net Immune Takes Action By Itself - Closing Bad Browser Tabs, Ejecting Infected USB Drives, Or Renaming Dangerous Files.We Tested Net Immune Against New Fake Attacks That Normal Antivirus Missed Completely. Our System Caught 95% Of Them. The Average Warning Time Is Less Than 2 Seconds. The App Uses Almost No GPU And Only 0.3% CPU On Average.

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Other Details

• Paper id:

  IJSARTV12I5105303

• Published in:

  Volume: 12 Issue: 5 May 2026

• Publication Date:

  2026-05-09

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