Adversarial threat modeling to secure AI assets and protect ROI.
Stress-test security logic, threat detection, and copilot actions. OpenVals helps security teams validate model guardrails, prevent credential leakage, and defend enterprise AI trust.
Trust Score Preview
What you get.
Clear, evidence-backed deliverables for technical teams, leadership, customers, and auditors.
Adversarial Testing
Attempt model jailbreaks, instruction bypasses, and unauthorized data exfiltration.
Vulnerability Logic
Verify if the model can pinpoint secure code issues and recommend fixes accurately.
Threat Detection
Measure model accuracy in analyzing system logs and finding real threat vectors.
Engagement workflow.
Attack
Design security prompt injections and jailbreak attempts.
Defend
Evaluate model resistance and guardrail enforcement.
Log
Audit detection logs, credentials protection, and categorization accuracy.
Harden
Produce recommendations for secure, trustworthy model operations.
Start with the right level of AI assurance.
Enterprise AI Validation
A deeper evaluation of model quality, safety, reliability, bias, and deployment readiness.
- Model validation report
- Benchmark comparison
- Executive risk summary
AI Security
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
Book Your AI Trust
Get a fast baseline of your model's reliability, safety, compliance, and deployment risk before you invest in a full validation program.