Asenion Test Agents for Generative AI Testing, Evaluation, Verification & Validation (TEVV)
TEVV stands for Test, Evaluation, Verification, and Validation, a crucial, evolving methodology for assessing software and especially Artificial Intelligence (AI) systems to ensure they are reliable, safe, and perform as intended across their lifecycle. It’s a risk-based approach, crucial for modern AI, that goes beyond traditional software testing to cover unique AI challenges like probabilistic behavior, bias, and context-specific performance, with organizations like CISA and NIST developing frameworks for it.
How Asenion AI Assurance Covers Testing, Evaluation, Verification, and Validation (TEVV) for LLMs
Asenion Test Agents for Generative AI provide independent, policy-driven Testing, Evaluation, Verification, and Validation (TEVV) of LLM and LLM+RAG applications. They enable structured “penetration testing” and “blindspot testing” against organizational policies, risk controls, regulatory requirements, and assurance criteria—not just against functional requirements.
In other words, Asenion does not only ask: “Does the model work?” It asks: “Can this system be trusted, governed, and defended in real-world use?”
LLM Testing & Assurance vs. Standard LLM Evaluation
Traditional LLM evaluation is only one component of a full AI assurance lifecycle. Asenion’s approach expands this into:
Testing: Actively probing the system for failures, vulnerabilities, and unsafe behaviors
Evaluation: Measuring performance, quality, and behavior against defined criteria
Verification: Confirming the system conforms to specified policies, controls, and requirements
Validation: Confirming the system is fit for its intended use in its real-world context and risk environment
Assurance Methods in Asenion
1. LLM Penetration Testing (Adversarial Testing)
Purpose: Stress-test the system against malicious, abusive, or policy-violating scenarios.
Asenion Test Agents behave like adversaries and hostile users to:
Attempt to bypass safety controls, guardrails, and policies
Trigger data leakage, harmful content, unsafe actions, or policy violations
Test resilience against prompt injection, jailbreaks, and control evasion
Verify that security, privacy, and risk controls are actually effective in practice
This is verification and validation through adversarial testing: proving the controls work, not just that they exist.
2. LLM Blindspot Testing (Independent Risk & Control Validation)
Purpose: Find what internal teams didn’t think to test.
Asenion Test Agents independently:
Probe for gaps in coverage across ethics, compliance, safety, fairness, and operational risk
Identify failure modes, misuse cases, and edge conditions not captured in internal test plans
Validate alignment with organizational policies, legal obligations, and governance controls
Test the system from multiple roles, personas, and contexts of use
This is independent validation that the system meets its assurance obligations—not just its functional goals.
3. LLM Evaluation (Performance & Behavior Assessment)
Purpose: Measure how well the system performs its intended tasks.
This includes:
Accuracy, quality, consistency, and robustness of outputs
Task performance across scenarios and personas
Regression testing and behavior drift detection
Evaluation answers: “How good is the model?” But by itself, it does not answer: “Is the system safe, compliant, and governable?”
How This Maps to TEVV
Asenion AI Assurance provides:
Testing: Adversarial, scenario-based, and policy-driven probing of the system
Evaluation: Measurement of performance, behavior, and quality
Verification: Evidence that the system conforms to policies, controls, and requirements
Validation: Evidence that the system is suitable for its intended use and risk context
In Summary
Standard LLM evaluation improves the product. Asenion AI Assurance proves the system can be trusted.
By combining evaluation, penetration testing, and blindspot testing, Asenion delivers full TEVV-grade assurance for LLM and LLM+RAG systems—covering not just performance, but security, safety, compliance, ethics, and governance.
What tests can Asenion Test Agents perform?
Baseline categories for these testing include:
- security (jailbreaking, system prompt injections)
- fairness/bias
- privacy
- toxicity (profanity, nsfw content)
- self-harm
- hallucination
- faithfulness (requires ground truth)
Compliance packages using these baseline categories:
- ISO/IEC 42001
- EU AI Act
- OWASP Top 10 for LLM
- Agentic AI
New Asenion Test Agents can be created to add additional tests against custom policies and controls.