Your AI application is running perfectly, but how do you know it's actually giving correct answers?
What if it's hallucinating, leaking incorrect information, or rejecting valid user requests? Without proper monitoring and evaluation, you might never even notice.
Today, we'll learn how to observe what's happening inside our AI systems, trace every prompt and response, measure model performance using Precision and Recall, detect hallucinations automatically, and reduce false positives.
Because building an AI application is one thing. Knowing whether it's reliable, accurate, and trustworthy is what makes it production-ready!
Welcome to Video 34 of AI-Driven Cybersecurity: Zero to Job-Ready AI Security Engineer (2026) on The Techzeen.
WHAT YOU'LL LEARN IN THIS VIDEO:
* AI Observability: Understand what's happening inside AI applications and monitor their behavior.
* AI Logs: Track prompts, responses, errors, latency, token usage, and model activity.
* Prompt Tracing: Follow the complete journey of an AI request across retrieval, generation, and response.
* Langfuse: Explore an open-source LLM observability platform for tracing, monitoring, and evaluation.
* OpenTelemetry: Understand distributed tracing, metrics, and logs across AI applications and microservices.
* AI Evaluation: Measure AI accuracy, relevance, correctness, and reliability.
* Precision: Understand how many detected positive results are actually correct.
* Recall: Measure how many actual positive cases your system successfully detects.
* False Positives & False Negatives: Understand false alarms and missed security threats.
* Automated Hallucination Detection: Evaluate whether AI-generated answers are supported by reliable evidence.
* Reducing False Positives: Improve detection quality using evaluation datasets, appropriate thresholds, and multiple evaluation signals.
This is an essential skill for building secure, accurate, and production-ready AI applications.
ABOUT THE COURSE:
AI-Driven Cybersecurity: Zero to Job-Ready AI Security Engineer (2026)
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CONNECT & LEARN
Website:
https://www.thetechzeen.com/
Source Code:
https://github.com/farzeen-ali/AI-Agent-Security
Full AI-Driven Cyber Security Playlist:
https://www.youtube.com/playlist?list=PLMnWzLCjYQQk
Lecture Notes:
https://github.com/farzeen-ali/AI-Driven-Cyber-Security
Cyber Security WhatsApp Community:
https://whatsapp.com/channel/0029VbCpEz6JkK75tDMYj43M
#AIObservability #AIEvaluation #AIDrivenCyberSecurity #Langfuse #OpenTelemetry #LLMSecurity #HallucinationDetection #PrecisionRecall #AIMonitoring #TheTechzeen