GenAI LLM Data Control

Secure & Govern AI Data

Bedrock’s Metadata Lake enables origin, sensitivity, and tracking of AI training data, enabling tagging, policy enforcement, and trusted, responsible AI iniatives.

<49

Percent of organizations are highly confident in their ability to control sensitive data used for AI/ML training.

60+

Percent of organizations identify classifying sensitive AI data, AI entitlement control, and tracking AI data as their top 3 AI security hurdles.

<48

Percent of organizations express high confidence in their ability to control sensitive data used for AI/ML training.

One Platform to Secure All AI Data

Know What Data Is Used In AI training & Inference

Bedrock Security aggregates metadata across cloud, SaaS, and on-prem environments, creating a single source of truth for data classification, residency, and access control.

Data Provenance Tracking

Understand where training data comes from and how it’s transformed.

Sensitive Data Discovery

Identify and tag PII, PHI, and proprietary content before it’s used in AI.

Minimize GenAI Risks With Strong Data Controls

Prevent unintended data leakage, model bias, or compliance violations by enforcing security policies directly on your GenAI workflows.

AI Dataset Governance

Ensure that only approved data is used for training and inference.

Bias and Drift Monitoring

Track data quality and changes over time to maintain model reliability.

Streamline Policy Enforcement & Maintain Compliance

AI innovation doesn’t have to mean compliance gaps. Bedrock Security automates tagging, governance, and reporting for all GenAI-related data activities.