Sevorix Technical Architecture

Architecture: Deterministic Security for Autonomous Workflows

Moving enforcement from the application
layer to the OS kernel

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:

  • The Latency Tax: Every external call must hop to a proxy, be scanned, and hop back, often adding 200–400ms to every interaction.
  • The Bypass Risk: If an agent is compromised or hallucinates a new network path, it can often bypass environment variables and route around the proxy entirely.

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.

  • Runtime Interception: We monitor every connect(), open(), and execve() system call initiated by the AI agent.
  • Instant Enforcement: Because we operate at Ring-0, we don't "detect and alert"—we enforce. If a system call violates the security policy, the kernel terminates the request before a single packet reaches the network interface.
  • Bypass-Proof: Since the kernel is the final arbiter of all hardware and network resources, the agent cannot "ignore" the security policy by changing its own configuration.

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).

  • Native Speed: Because the payload never leaves the node, we eliminate the 400ms roundtrip entirely.
  • High-Frequency Resilience: Your autonomous workflows keep moving at native speed, even during an AWS outage or cloud instability.

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.

  • No SDKs: You don't need to rewrite your agent's code. Sevorix attaches to the process at the OS level.
  • Infrastructure Agnostic: Whether you are running agents in Docker, Kubernetes, or on bare metal, the eBPF hooks provide consistent protection.

Technical Specifications
  • Enforcement     Layer: Linux Kernel (Ring-0) via eBPF.
  • Consensus     Engine: Localized "Jury of Rivals" (Heterogeneous SLMs).
  • Local     Interface: unix:///var/run/sevorix/slm.sock.
  • Latency     Overhead: < 1ms (Local Pivot) vs. 400ms+ (Cloud Proxy).