Model Security Assessment
- Model inversion attacks
- Membership inference
- Model extraction attacks
- Adversarial examples
- Robustness & reliability

Comprehensive security testing for LLM applications, AI models and generative AI systems to uncover risks, prevent abuse and ensure trustworthy AI.
AI systems introduce unique risks that traditional security can't detect.
End-to-end testing of AI applications across the AI/ML application lifecycle.
A structured approach to identify, validate, and help you fix AI risks.
Understand your AI application, models and data flow.
Identify AI-specific threats and attack surfaces.
Perform automated and manual security testing.
Validate findings with real-world attack scenarios.
Detailed report with risk rating, impact and remediation.
Guide your team to fix issues and re-test for security assurance.
Comprehensive coverage of the OWASP Top 10 risks for LLM applications.
Industry-leading tools and techniques for AI security testing.
An early-stage startup had shipped an LLM-powered support assistant fast and wanted a real security check before scaling it up. Our AI security testing surfaced prompt injection paths and a data leakage risk in how the assistant handled context — both fixed before they became a customer-facing problem.


Don't wait for vulnerabilities to be exploited. Secure your LLM & AI applications with Cyphex Technologies.

Don't wait for vulnerabilities to be exploited. Secure your LLM & AI applications with Cyphex Technologies.