AI Eval & Red Team Review with Aamish Ahmad

For founders, researchers, and AI builders who want to evaluate an LLM, agent, chatbot, RAG system, or AI workflow beyond basic accuracy.

In this session, we can review:

• Evaluation goals and benchmark design

• Failure modes and adversarial test cases

• Prompt injection and tool-misuse risks

• Hallucinations, behavioural drift, and unsafe outputs

• Human-oversight and escalation failures

• Metrics, test datasets, and evaluation pipelines

• Red-team scenarios based on your use case

• A prioritized plan to improve reliability

You will leave with a clearer threat model, evaluation framework, and concrete tests to run.

This is an evaluation and red-team strategy session. It does not include a complete security audit, penetration test, or guaranteed certification.