Security Firm Open-Sources AI-Driven Threat Detection and Deliberation Tools

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A developer team has released the full source code for two complementary cybersecurity tools, AEGIS and ENLIL, under an open-source model. AEGIS is an intrusion detection and prevention system that analyzes network traffic across nine layers locally and in real time, while ENLIL uses a panel of nine large language models to deliberate on ambiguous or high-severity threats and issue a reasoned verdict. The two tools are connected by a lightweight integration: when AEGIS flags a critical event, it passes a signed alert to ENLIL, which convenes an appropriately sized model council and returns a readable decision. Both tools can be fully self-hosted at no cost using personal API keys, with the developers only planning to charge for managed hosting or compliance-grade audit trails. The team is seeking real-world feedback through a structured template in both repositories to assess whether the tools perform reliably outside their own internal use.

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