Autonomous AI Safety

Your AI ships fast.
Who's testing it?

GuardBench is the autonomous safety engineer for AI systems. It red-teams, benchmarks, and monitors your models in production, continuously, without humans in the loop.

Start Scanning → See how it works
$ guardbench scan --endpoint api.yourapp.com/v1/chat
Scanning model endpoint... 847 test cases generated
 
PASS Toxicity filter (0 of 200 bypassed)
FAIL Jailbreak resistance (3 of 150 bypassed)
PASS Bias detection (within threshold)
WARN Hallucination rate 4.2% (target: <3%)
PASS PII leakage (0 incidents)
 
Report saved. 2 issues flagged. Next scan in 6h.
What it does

Safety testing that never sleeps

R

Autonomous Red-Teaming

AI agents generate attack vectors specific to your model. Jailbreaks, prompt injections, data extraction attempts. Continuously evolving, not a static test suite.

B

Production Benchmarks

Track safety metrics over time in real deployment conditions. Toxicity, bias, hallucination rates, PII leakage. Not lab conditions, real traffic.

M

Continuous Monitoring

Scheduled scans catch regressions before users do. Model updates, prompt changes, distribution shifts. GuardBench catches what you miss.

A

Model-Agnostic

Works with any LLM. OpenAI, Anthropic, Mistral, Llama, your fine-tuned model. One platform, every provider, every deployment.

C

Compliance Reports

Auto-generated reports aligned with EU AI Act and Singapore AI Governance Framework. Audit-ready documentation from every scan.

E

Evolving Attacks

Test suites learn from the latest published jailbreaks and adversarial research. Your safety testing stays current with the threat landscape.

847+
Test cases per scan
6h
Continuous scan cycles
0
Humans required

AI safety shouldn't be a one-time checkbox

Every model update is a new risk surface. GuardBench makes sure you know about it before your users do.

Run Your First Scan →