Skyflow, a leading provider of data security for modern AI infrastructures, unveiled its Runtime AI Data Security platform designed for enterprises leveraging Amazon Bedrock AgentCore and Amazon Quick Suite. This solution ensures secure handling of sensitive data across datastores, models, and agents enabling organizations to confidently move agentic AI applications from prototype to production.
Addressing the Production Gap in Agentic AI
Despite rapid advancements in AI models and rising investment in AI infrastructure, many organizations struggle to scale agentic applications beyond the demo phase. As enterprises and the ISVs supporting them begin deploying agentic workflows in production, robust data protection including preventing leakage, ensuring compliance, and controlling context-specific access has become a non-negotiable requirement.
Traditional data security or AI-security posture tools typically resort to blocking or redacting sensitive data but that approach often undermines the functionality of AI agents, preventing completion of essential workflows. Skyflow’s new solution removes these limitations by offering fine-grained protections that allow data to be used safely and productively without sacrificing compliance or auditability.
Secure-by-Design Integration with AWS Agentic AI Tools
With AWS’s recent releases of AgentCore and Quick Suite, Skyflow’s Runtime AI Data Security provides a well-integrated, secure foundation for agentic AI deployments:
- For Amazon Quick Suite: Skyflow enforces runtime protection for sensitive data, inspecting and de-identifying PII/PHI before it reaches any agent or model. It ensures compliance with global regulations such as GDPR and HIPAA as data moves across systems.
- For Amazon Bedrock AgentCore: Skyflow binds identity to agents and enforces policy-based, runtime data access. Agents only receive the “minimum necessary” data, and all access is logged at the field level providing comprehensive auditability.
As noted in the release: “Agentic AI is rewriting how enterprises use data, but it demands a new level of protection when autonomous agents interact with sensitive information. At AWS, security has always been our top priority it’s the foundation of everything we build. AWS Quick Suite and AgentCore enable organizations to operationalize AI at scale, and integrating Skyflow adds the fine-grained data protections and agent-level governance required in regulated industries. This combination helps customers move from pilots to production with confidence, knowing their most sensitive data remains protected at every step.”- Andy Perkins, General Manager, US ISV sales – Data, Analytics, GenAI
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Key Features That Empower Safe, Scalable AI Workflows
Skyflow’s Runtime AI Data Security is powered by its patented polymorphic engine, embedding a privacy-first layer directly into AI data flows. Its standout capabilities include:
- Real-time discovery, classification, and de-identification of sensitive data (PII, PHI, PCI) with entity preservation so models and agents can still reason, match, and make decisions.
- Rehydration: restoration of original data values only at precisely controlled moments in a workflow enabling agents to complete end-to-end tasks without unnecessarily exposing raw data.
- Global data residency and sovereignty controls, ensuring data doesn’t leave its jurisdiction, even if agents or workloads run globally enforcing in-region processing and cross-border restrictions automatically.
- Context-aware governance and policy enforcement, binding each agent’s identity and enforcing “least privilege” access based on user, agent, purpose, data type, and applicable regulations.
- Entity-preserving transformations (e.g. secure embeddings, governed vectorization), which enable safe retrieval, retrieval-augmented generation (RAG), orchestration, and agent workflows all without exposing raw data.
- Comprehensive field-level auditability, capturing every access, transformation, residency decision, and rehydration event crucial for internal governance, compliance, and traceability.
As the company remarks: “The success of agentic AI depends on absolute trust and data security when agents handle sensitive enterprise data. Skyflow’s Runtime AI Data Security provides the essential guardrails protecting data exactly at the moment of use. This enables enterprises to safely scale from cautious AI pilots to full production, supporting the AWS agentic AI mission.”
Anshu Sharma, CEO, Skyflow: By combining AgentCore and Quick Suite with Skyflow’s security and governance capabilities, enterprises can now pursue responsible innovation enabling sensitive data to flow safely at AI speed.
