Important Lab Instructions

Lab 1 - AI-Driven Vulnerability Detection with OpenVAS and Tensorflow

Lab 2 - Objectives_Automated CI_CD Pipeline Optimization using Jenkins and MLflow

Lab 3 - Monitoring & Alerting with Prometheus, Grafana, and AI

Lab 4 - NLP-driven Automated Compliance Reporting with ELK Stack

Lab 5 - Risk Assessment with AI and OpenFAIR

Lab 6 - Self-Healing Systems with Kubernetes and AI

Lab 7 - AI-Enhanced Firewall Rules Optimization with pfSense and Scikit-learn

Lab 8 - Automated Data Classification for GDPR with Python and NLP

Lab 9 - AI-Driven Intrusion Detection with Snort and PyTorch

Lab 10 - Application Security Enhancement using OWASP ZAP and AI

Lab 1 - Secure Infrastructure as Code (IaC) with Terraform and AWS

Lab 2 - Continuous Integration_Continuous Deployment (CI_CD) with Jenkins and GitHub

Lab 3 - Implementing Role-Based Access Control (RBAC) with Kubernetes

Lab 4 - Security Incident and Event Management (SIEM) with ELK Stack

Lab 5 - Integrate Open Policy Agent (OPA) with Jenkins for Compliance Checks

Lab 6 - Set Up Docker Environment with Clair for Vulnerability Scanning

Lab 7 - Create AWS AMI with Packer and Ansible, and Deploy an EC2 Instance

Lab 8 - Setting Up Isolated VPCs in AWS and Implementing Network Policies in Kubernetes with Calico

Lab 9 - Deploy Prometheus in Kubernetes and Visualize Metrics in Grafana

Lab 10 - Designing a Serverless Function with AWS Lambda and Implementing Security Policies