AI & Data Governance

At AI Point, we specialize in AI & Data Governance, ensuring your AI solutions align with regulatory compliance, data privacy, and responsible AI development—leveraging AWS Cloud best practices. Our governance frameworks integrate AWS services like Amazon Macie, AWS Control Tower, AWS Audit Manager, and Amazon Bedrock, helping organizations build secure, compliant, and ethical AI systems.

We work closely with you to embed governance and compliance directly into your AI and data strategies. Whether auditing existing models, developing governance frameworks, or ensuring long-term AI sustainability, we help businesses create trustworthy AI solutions that scale securely in the AWS ecosystem. Our AWS-Driven AI Governance Services

Regulatory Compliance Ensure adherence to GDPR, CCPA, HIPAA, and industry-specific regulations using AWS Artifact, AWS Config, and AWS Audit Manager to automate compliance monitoring.

Data Privacy & Security Implement robust data governance with AWS Lake Formation, Amazon Macie, and AWS Key Management Service (KMS) to protect sensitive information and maintain privacy standards.

Ethical AI & Bias Mitigation Leverage Amazon Bedrock and SageMaker Clarify to monitor bias, explain AI decisions, and ensure transparency in AI model outputs.

Risk Management & AI Security Use AWS Security Hub and AWS Identity & Access Management (IAM) to assess AI security risks, enforce least-privilege access, and mitigate potential vulnerabilities.

AI Lifecycle Management Integrate Amazon SageMaker Model Monitor and AWS Step Functions for continuous model validation, governance, and automated AI compliance workflows.

By integrating AWS-native governance tools, we help organizations de-risk AI adoption, optimize compliance, and scale AI responsibly.