Bias and fairness auditing
Review model outputs for demographic, cultural, regional, or topical bias to support fairer and more balanced AI behavior.
LLM red-teaming
Find safety failures before your users do.
Stress-test models for bias, hallucinations, jailbreaks, toxic outputs, refusal errors and project-specific risks in Vietnamese contexts.
What we test
Model weaknesses across safety, truth and control.
Red-team programs are aligned with your use case, policy framework, user population and highest-risk failure modes.
Hallucination and fact-checking analysis
Assess model responses for factual grounding, consistency, overconfidence, unsupported claims, and reliability in knowledge-sensitive prompts.
Custom scenario execution
Run project-specific safety test sets, red team prompts, policy checks, and evaluation scenarios based on your model’s use case and risk profile.
Jailbreak and prompt injection testing
Evaluate how well your model resists attempts to bypass safety rules, manipulate instructions, or trigger unintended behavior.
Toxicity and content risk detection
Identify harmful, offensive, unsafe, or non-compliant outputs across direct responses, subtle language patterns, and risky content scenarios.
Refusal robustness evaluation
Test whether the model correctly refuses unsafe, unethical, sensitive, or out-of-scope requests while still responding helpfully when appropriate.
Built for risk discovery
Adversarial testing grounded in your actual product.
We prioritize realistic abuse paths, local language patterns and policy boundaries instead of generic safety prompts.
01Jailbreak resistance
02Truthfulness & reliability
03Bias & harmful content
04Refusal quality
How we deliver
From threat model to prioritized safety findings.
A controlled workflow turns adversarial testing into reproducible evidence and clear remediation priorities.
Map risks
Align model access, policies, abuse cases, user groups and severity criteria.
Design attacks
Create adversarial prompts and local scenarios across target risks.
Execute & classify
Run tests, review outputs and document reproducible failures.
Report & retest
Deliver severity findings, examples, recommendations and regression tests.
Red-team your model in Vietnamese contexts.
Share your product use case, safety policies and priority risks. We’ll propose a focused adversarial test plan.
Discuss a red-team pilot ↗