Vulnerability Assessment for Cloud-Based AI Platform - atlantiq AI

The main objective of this project is to conduct a comprehensive vulnerability assessment of atlantiq AI's cloud-based infrastructure and AI systems. Learners will be tasked with identifying potential security weaknesses in our AWS-hosted services, including EC2 instances, S3 buckets, RDS databases, and Lambda functions. They will also assess the security of our AI model deployment pipeline and data processing systems. The expected outcomes include: 1. A detailed vulnerability assessment report highlighting critical, high, medium, and low-risk vulnerabilities in our cloud infrastructure and AI systems. 2. Specific recommendations for enhancing our security posture, with a focus on protecting sensitive AI models and user data. 3. A security architecture overview that aligns with our unique needs as an AI-powered SaaS startup, including recommendations for secure AI model deployment and data handling practices. 4. Proposed implementation strategies for recommended security measures, considering our resource constraints as a startup.