Sold by: Futuralis
Protect sensitive data before AI uses it. Futuralis implements or reviews PII, PHI, and PCI redaction workflows, data classification, prompt and output guardrails, human approval flows, audit logging, and content-generation risk controls for GenAI systems on AWS.
Overview
Protect sensitive data before AI uses it. The Futuralis GenAI Privacy, Redaction and Responsible AI Guardrails on AWS service helps organisations implement privacy controls, redaction workflows, and responsible-use guardrails for GenAI systems handling sensitive documents, regulated data, or generated content.
Futuralis implements or reviews PII, PHI, and PCI redaction workflows, data classification controls, prompt and output guardrails using Amazon Bedrock Guardrails, human approval flows, audit logging, content-generation risk controls, and AI usage governance policies — aligned to GDPR, HIPAA, and responsible AI requirements.
Core deliverables include a redaction workflow design or review, Bedrock Guardrails configuration assessment and implementation, data classification controls, control checklist, risk register, deployment notes, handover documentation, and AI governance policy recommendations. Recommended next steps: HIPAA Compliance Readiness, Amazon Bedrock GenAI and RAG Security Assessment, LLMOps and AI Lifecycle Management. This professional service relates to Amazon Bedrock, Bedrock Guardrails, Bedrock Agents, Knowledge Bases, Amazon SageMaker, Amazon S3, AWS Lambda, Amazon OpenSearch, AWS KMS, and Amazon CloudWatch.
Highlights
- PII, PHI, and PCI redaction workflow implementation covering data classification, Bedrock Guardrails configuration, prompt and output controls, human approval flows, and audit logging for AWS GenAI systems.
- Bedrock Guardrails configuration review and implementation with a control checklist, risk register, and AI governance policy recommendations aligned to GDPR, HIPAA, and responsible AI governance requirements.
- Clear next-step path toward HIPAA Compliance Readiness, Amazon Bedrock GenAI and RAG Security Assessment, or LLMOps and AI Lifecycle Management to extend privacy and governance controls across your AI platform.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Futuralis provides dedicated support for all GenAI Privacy, Redaction and Responsible AI Guardrails engagements. Email: support@futuralis.com Support URL: https://www.futuralis.com/support Response time: within 1 business day. Support includes pre-purchase queries, engagement scheduling, delivery questions, and post-engagement follow-up for up to 30 days after handover.