Performance & Benchmarks
High-resolution latency analysis of the ABSCORE™ Kernel.
Performance Benchmarks
ABSCORE™ is engineered for Zero-Latency Governance. By utilizing a Rust-based Kernel compiled to WebAssembly (WASM), we achieve sub-millisecond policy evaluation, making it suitable for high-frequency agentic systems.
Key Metrics
| Component | Metric | Target | Result (p99) |
|---|---|---|---|
| Kernel WASM | Policy Evaluation | < 5ms | 1.2ms |
| Magic Proxy | Request Overhead | < 20ms | 8.4ms |
| Total Pipeline | End-to-End Latency | < 50ms | 32.0ms |
[!NOTE] Tests conducted using a sustained load of 100 requests/sec on Cloudflare Edge nodes.
High-Resolution Trace
Every decision logged by ABSCORE™ includes high-resolution telemetry. The following trace shows a typical authorization cycle:
sequenceDiagram
participant Agent
participant Proxy as Magic Proxy (TS)
participant Kernel as ABS Kernel (WASM/Rust)
Agent->>Proxy: Tool Call Request
Proxy->>Proxy: JSON Parsing (0.4ms)
Proxy->>Kernel: evaluate(payload)
Kernel->>Kernel: Regex Engine Match (0.8ms)
Kernel->>Kernel: Risk Scoring (0.2ms)
Kernel->>Kernel: Signed Proof Generation (0.2ms)
Kernel-->>Proxy: Decision Object
Proxy-->>Agent: Allowed/Denied + Proof HashTesting Protocol
We use Artillery for sustained load testing and Vitest for unit-level latency tracking within the WASM sandbox.
1. Kernel Stress Test
We evaluate 50+ complex regex policies against 1KB payloads.
- Concurrent Users: 500
- Duration: 60 seconds
- Success Rate: 100.0%
2. Edge Overhead
The Magic Proxy adds minimal overhead to standard LLM calls. In most cases, the governance latency is smaller than the network jitter of the LLM provider (OpenAI/Gemini).
ABS CORE Pro Tip: Use X-ABS-Shadow-Mode: true to measure performance impact in your environment before enabling strict blocking.