The Trade-Offs: The Latency and Bypass Tax
In the world of AI security, two major hurdles prevententerprise adoption: Accuracy and Latency. Traditional AI security relies on"Sidecar Proxies" or "API Gateways." These methodsintroduce critical flaws:
Sevorix eliminates these flaws by dropping enforcement intothe Kernel via eBPF.
Core Component: The eBPF Circuit Breaker
Sevorix uses eBPF (Extended Berkeley Packet Filter) toinsert high-performance security hooks directly into the Linux kernel.
Solving the Accuracy Gap: The "Jury of Rivals"
Relying on a single Small Language Model (SLM) for securitydecisions is a single point of failure. If the model hallucinates or misses amalicious intent, the system fails.
Our Solution: We deploy a local 'Jury of Rivals'.Instead of a standalone model, we force a mathematical consensus acrossheterogeneous models (e.g., Llama 3 for Code Syntax, Mistral for Intent, Phi-3for Policy). Before a high-risk action is allowed, the "Jury" mustreach a consensus. If the SLM detects a hallucination or the deterministicrulebook is violated, the eBPF Circuit Breaker trips instantly.
Eliminating the Latency Tax: Local UNIX Sockets
Our eBPF proxy monitors the data path at the kernel level.If the cloud API drops or becomes a bottleneck, the system instantly pivots thepayload to a local UNIX socket (unix:///var/run/sevorix/slm.sock).
The 'Fail-Closed' Mandate: Sevorix is designed tofail-closed. By leveraging local SLM consensus and kernel-level socket pivots,we ensure that if the security connection is severed, the agent's businesslogic remains secure and operational without exposing the customer's businessto risk.
Integration: Native Speed, Zero Code Changes
Sevorix is designed to be invisible to your developers.