Agentra: A Supervisable Multi-Agent Framework for Enterprise Intrusion Response
Learn how Agentra, a multi-agent framework, enhances enterprise intrusion response by converting alerts into structured incident response plans, and apply this knowledge to improve your organization's security posture
- Implement Agentra to integrate alerts from IDS, EDR, and XDR platforms
- Configure Agentra to generate structured incident response plans based on MITRE ATT&CK, MITRE D3FEND, and NIST CSF 2.0
- Deploy Agentra in a production environment to automate response reasoning
- Test Agentra's performance using simulated intrusion scenarios
- Compare Agentra's effectiveness with traditional static playbooks and analyst-driven triage
Security teams and incident responders can benefit from Agentra's automated and supervisable approach to intrusion response, reducing delay and improving containment
💡 Agentra's multi-agent approach can reduce delay and improve containment in enterprise intrusion response by converting alerts into structured incident response plans
🚨 Improve incident response with Agentra, a supervisable multi-agent framework that automates response planning 🚨
Key Takeaways
Learn how Agentra, a multi-agent framework, enhances enterprise intrusion response by converting alerts into structured incident response plans, and apply this knowledge to improve your organization's security posture
Full Article
Abstract:
arXiv:2606.18325v2 Announce Type: replace-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) framework that converts alerts from IDS, EDR, and XDR platforms into structured incident response plans grounded in MITRE ATT&CK, MITRE D3FEND, and NIST CSF 2.0. Agentra decomposes response reasoning across role-sco
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