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Your Enterprise Cloud Data Protection Platform

StratoKey's Cloud Data Protection (CDP) Platform helps provide enterprises the security controls needed to keep data safe and compliant in the cloud.

Cloud Data Protection Platform

Cloud Compliance Manager

Compliance management and reporting for HIPAA, GDPR, ITAR, CMMC, NIST 800-53 & 171 and any other regulation or standard.

When You Can't Compromise on Security

StratoKey helps enterprises meet evolving security and compliance requirements with encryption, tokenization, and access controls across SaaS, APIs, and cloud.

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StratoKey

StratoKey has secured sensitive cloud data for clients globally since 2014. Trusted for when you cannot compromise on security, it’s a mission-critical platform used daily for reliable data protection.

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The CDP Platform Now Secures NetSuite SuiteProject Pro

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TECHNOLOGY SOLUTIONS

 AI Security Solutions

Keep Regulated Data and Intellectual Property Secure While Using AI

 StratoKey de-identifies sensitive data before it reaches AI systems, SaaS platforms, and API endpoints. Access controls govern who and what can access regulated data. Audit logs capture every interaction. The result is AI adoption that does not put compliance, data privacy or data sovereignty at risk. 

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AI Data Privacy and Compliance Challenges

Models Accessing Sensitive Data

AI models process whatever data they receive. Without controls at the data layer, your regulated data could enter foundation models in plain text.

SaaS as a Data Source for AI

SaaS platforms are embedding AI features into their products. Every time AI summarizes data or runs an agent workflow, your data is the input.

Growing Compliance Risks

AI creates data exposure risks. Regulations still apply to data that reaches AI systems. Requirements are evolving to address AI.

Observability & Governance

AI tools, APIs, and agents multiply the channels data can leave your control through. Many are ungoverned, and invisible to IT and compliance teams.

How StratoKey Helps You Adopt AI Securely 

Protect sensitive data before it reaches any AI system. De-identify with encryption or tokenization, govern every integration, and control who and what can access data. 

  • Accelerate AI adoption with confidence.
  • Enforce consistent access policies.
  • Prevent data leakage.

Protect Data Before its Accessible to AI

De-identify sensitive data within your SaaS platforms before it reaches embedded AI features, connected models, or downstream API endpoints.

Control Who and What Accesses Your Data

Enforce least-privilege controls across every user, AI agent, and automated workflow.

Secure API Payloads and Agents

De-identify payloads in transit and enforce policy across every machine-to-machine and agent interaction.

Governance & Policy Enforcement 

Protect sensitive data from unauthorized access and leaks with fine-grained control on who gets access to sensitive data.
Secure AI at the input source system with StratoKey

Protect Sensitive Data Before It Reaches Data Sources for AI Systems 

AI is showing up in organizations as purpose-built AI tools through to AI features embedded in SaaS platforms.  Each creates a different exposure risk. The CDP platform secures sensitive data before it is transmitted to cloud applications and other data sources used as input for AI. 

  • Tokenize, end-to-end encrypt, or anonymize sensitive fields to de-idenify data before it enters SaaS applications.
  • Protection is applied without disrupting downstream application functionality.

Secure API Payloads to Govern What Moves Between Systems 

 AI agents, automated workflows, applications, and MCP-connected services all generate machine-to-machine traffic that can carry sensitive data across system boundaries, often without human oversight. The API Gateway sits in the path of that traffic, authenticating an authorizing access, tokenizing or encrypting payloads and providing a singular point of controlled access for your connected services

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  • Leverage Entra ID, Okta or any IdP to federate access to connected systems.
  • Unify AI API access to enterprise tools and data sources through a single, secure gateway.
  • Configure and apply access and security policies for machine-to-machine traffic.
  • Block, re-route or transform calls carrying regulated data to unauthorized AI services.
  • Maintain audit logs of every machine interaction crossing a system boundary.
  • Apply consistent data protection policy to all machine-to-machine traffic.

Apply Granular Data Access Controls

AI can operate with elevated privileges, the Identity Gateway enforces authentication and least-privilege controls across every user and machine interaction.
  • Restrict access by user, group, or geographic boundary.
  • Control which AI tools and agents can reach systems holding regulated data.

Apply Consistent Data Protection Rules & Policies 

Enforces consistent security rules across AI, gain visibility into access and generates audit logs for oversight and regulatory record keeping. 

  • Enforce data handling policies for users and machine access.
  • Create evidence for HIPAA, CMMC, ITAR, and other frameworks and regulations.

AI Security Use Cases for the CDP Platform  

Protecting ePHI Before It Reaches AI Tools

A healthcare provider utilizes an ERP for managing accounting, patient billing, and product inventory. StratoKey's Data Protection Gateway encrypts PHI at the field level before it is transmitted to the ERP. Embedded AI features receive functional inputs, not PHI. Patient data never reaches an AI model in an identifiable form, supporting HIPAA obligations and Security Rule requirements.

Read more about HIPAA AI Risks

Governing ITAR Technical Data in AI Workflows

An aerospace manufacturer deploys AI to generate business intelligence across engineering platforms. The AI agents make API calls with access to export-controlled CAD diagrams and technical specifications. StratoKey's API Gateway encrypts ITAR-controlled data and restricts decryption to verified U.S. persons, satisfying 22 CFR 120.54. The AI system can perform its intended function, without compromising controlled defense articles.

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Preventing Intellectual Property Exposure Through Embedded AI in Collaboration Tools

A defence manufacturer uses a cloud workspace for creating and sharing knowledge across their organization. The cloud workspace vendor passes content to AI models for summarization and recommendations. StratoKey encrypts sensitive data before it reaches the platform. Embedded AI features continue to function. Proprietary Intellectual Property never reaches a foundation model in readable form.

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Secure AI for Compliance Confidence in the Cloud 

The CDP platform gives you the control to meet a broader range of data protection and regulatory requirements. 

Data Sovereignty

Your AI vendor's terms of service do not override your sovereignty obligations. Secure sensitive data before it reaches any AI system and retain control of the original data regardless of where the vendor operates or which laws apply.

ITAR

Existing export control obligations apply regardless of the system processing the data. Tokenize ITAR-controlled technical data before it enters any AI workflow. Restrict access to U.S. persons and eliminate cross-border exposure. 

Data Residency

AI vendors operate infrastructure globally. Without controls, your data follows their infrastructure and internal employee access policies. Onshoring data with tokenization can keep data stored where it needs to be, and keep you in control of access.

HIPAA

HHS OCR's proposed Security Rule update explicitly addresses AI systems that process ePHI. Tokenize ePHI before it reaches AI tools or embedded SaaS features. Support BAA obligations and satisfy incoming mandatory technical safeguards. 

CMMC

No AI exemption exists under CMMC. The same 110 controls under NIST SP 800-171 Rev 2 apply to AI systems. Keep CUI out of AI inputs and enforce access controls accordingly. Tokenization provides a concrete enforcement capability for CMMC.

CPCSC

Existing supply chain data protection obligations apply when AI is in use. Apply consistent data protection controls to Canadian defense supply chain data across your AI environment. 

NIS2

Meet NIS2 security and incident reporting obligations. Tokenization reduces the impact of reportable breaches by ensuring exposed systems contain no usable data. 


GDPR

The EDPB's Opinion 28/2024 directly addresses personal data in AI model development and deployment. Secure personal data before it reaches AI models. Support Article 25 privacy by design and limit Chapter V cross-border transfer exposure. 


 Your SaaS Platforms Have AI Built In. Control What They Can Access. 

Stratokey’s CDP Platform is application agnostic and is designed to secure any cloud or SaaS application,  including popular cloud applications such as Plex, Jira, Confluence, SeviceNow, Slack, NetSuite and Salesforce, as well as supporting custom-developed applications.

 Adopt AI Without Exposing Regulated Data 

 Talk to our team about how StratoKey can help you contain regulated data within a controlled environment. We've worked with leading organizations subject to CMMC, ITAR, HIPAA, GDPR, and more. 

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Ask Us About Securing Your Data for AI

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AI Features are being added to SaaS faster than compliance can keep up

Your SaaS is Adding AI Faster Than Compliance Can Keep Up

Sian Parany | May 25, 2026

AI is being added to enterprise SaaS platforms at speed. Many organizations have accepted this as a product improvement. Few have deeply assessed..

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