Security review and optimization

Cloud-native threats are more complex than ever—especially for teams integrating Generative AI services, machine learning workflows, or public APIs. Our Security Review is designed not only to address traditional vulnerabilities, but also to secure environments that run Amazon Bedrock, SageMaker, and other AI-powered workloads.

Core Focus Areas:

• IAM (Identity & Access Management)
• Network configuration & firewall rules
• Encryption (at rest, in transit, in inference)
• Logging, auditing, GuardDuty, and Detective integrations
• AI/ML infrastructure review: model endpoints, API exposure, and prompt/data handling

Key Features

• Comprehensive Security Architecture Analysis - We assess your environment across IAM, encryption, VPCs, endpoint exposure, and model-serving infrastructure—covering both standard workloads and AI-native use cases.
• AI & GenAI Infrastructure Hardening - Review SageMaker pipelines, Bedrock integrations, and LLM access patterns to ensure model inputs/outputs and prompt flows are secure.
• Actionable, Prioritized Recommendations - You receive a custom report with ranked security risks, remediation paths, and cost-aware implementation guidance.
• Continuous Threat Monitoring Recommendations - Includes setup validation for services like Amazon GuardDuty, AWS Security Hub, and automated anomaly detection.
• Compliance & Audit Readiness - Support for HIPAA, GDPR, SOC 2, and industry-specific frameworks depending on your domain (e.g., healthcare, logistics, retail).

Deliverables

• Security posture assessment summary
• Risk heatmap + prioritized findings
• AI/GenAI-specific vulnerability report (if applicable)
• Implementation roadmap for remediation
• Optional monthly security follow-up (add-on)