Find jailbreaks, prompt attacks, and unsafe model behavior first.
Adversarial testing for LLMs, copilots, agents, and AI applications, designed to reveal security and safety failures before users or attackers do.
Trust Score Preview
What you get.
Clear, evidence-backed deliverables for technical teams, leadership, customers, and auditors.
Prompt Injection Testing
Evaluate whether instructions, tools, retrieval, or secrets can be bypassed or extracted.
Guardrail Validation
Check whether safety controls hold under multi-turn and role-based attacks.
Abuse Case Simulation
Model realistic misuse patterns across your product, data, and workflow boundaries.
Engagement workflow.
Scope
Define target interfaces, model access, tools, policies, and protected assets.
Attack
Run manual and automated adversarial probes across high-risk scenarios.
Verify
Reproduce findings, classify severity, and capture evidence.
Harden
Recommend prompt, retrieval, policy, and product control improvements.
Start with the right level of AI assurance.
Starter AI Risk Assessment
A focused trust score review for teams that need a clear first read on model risk.
- Trust score snapshot
- Risk surface map
- Priority remediation list
Enterprise AI Validation
A deeper evaluation of model quality, safety, reliability, bias, and deployment readiness.
- Model validation report
- Benchmark comparison
- Executive risk summary
AI Red Teaming
Manual and automated pressure testing for jailbreaks, prompt injection, leakage, and abuse cases.
- Attack findings
- Severity-ranked issues
- Mitigation playbook
Compliance Readiness
Evidence, controls, and governance artifacts for teams preparing for AI oversight.
- Compliance gap map
- Control checklist
- Audit-ready documentation
Free AI Trust Score Assessment
Get a fast baseline of your model's reliability, safety, compliance, and deployment risk before you invest in a full validation program.