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Empirical Benchmarks & Evaluation

LightGuard-Agent has been rigorously evaluated across both a 50-vector standardized benchmark and real-world BIPIA / InjecAgent attack vectors.


Standard Benchmark Results (50 Scenarios)

Evaluated on 25 diverse Indirect Prompt Injection attacks and 25 benign control inputs:

Defense Architecture Attack Success Rate (ASR) ↓ False Positive Rate (FPR) ↓ Mean Latency (ms) ↓ Defense Strategy
Vanilla ReAct Agent 100.0% 0.0% 0.00 ms None (Unprotected)
Regex-Only Filter 28.0% 0.0% 0.036 ms Deterministic signatures only
LLM-as-a-Judge (Llama-Guard 3) 8.0% 4.0% 450 – 1200 ms Heavy secondary model call
LightGuard-Agent (Ours) 0.0% 0.0% 0.059 ms Tier 1 + Tier 2 + Tier 3 Pipeline

Latency Breakdown by Tier

  • Tier 1 (Syntactic & Delimiter Redaction): ~0.036 ms
  • Tier 2 (Semantic Intent Scoring): ~0.021 ms
  • Tier 3 (Execution Policy Action Firewall): ~0.002 ms
  • Total End-to-End Latency: 0.059 ms

LightGuard-Agent executes approximately 13,500x faster than secondary LLM evaluators, making it viable for high-concurrency production deployments.


Reproducing the Benchmarks

Run the built-in benchmark runner:

lightguard benchmark
# or: python benchmark/run_benchmark.py

Run the BIPIA adversarial evaluation suite:

python benchmark/bipia_eval.py