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New Agentra framework enhances enterprise intrusion response with multi-agent planning

A new research paper introduces Agentra, a multi-agent framework designed to automate and improve enterprise intrusion response. Agentra converts security alerts into structured incident response plans, leveraging frameworks like MITRE ATT&CK and NIST CSF 2.0. The system employs a Planner-Validator loop for plan validation and a Moderator gateway for threat intelligence screening, aiming to enhance coverage and reduce unsafe overreactions compared to static playbooks. AI

IMPACT Could significantly improve the speed and accuracy of cybersecurity incident response by automating complex decision-making processes.

RANK_REASON Research paper detailing a new AI framework for a specific technical domain. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New Agentra framework enhances enterprise intrusion response with multi-agent planning

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Research paper detailing a new AI framework for a specific technical domain. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Raj Patel, Shaswata Mitra, Michele Guida, Stefano Iannucci, Sudip Mittal, Shahram Rahimi ·

    Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response

    arXiv:2606.18325v1 Announce Type: cross Abstract: Enterprise intrusion response still depends on static playbooks and analyst-driven triage, creating delay between alert generation and containment. We present Agentra, a supervisable multi-agent Intrusion Response System (IRS) fra…