Protect sensitive data in AI harnesses
Secure the data flowing through AI harnesses
AgentCloak CLI adds a data protection layer directly to your command line workflow.Data protection built into your CLI workflow
The AgentCloak CLI Tool provides developers with simple command-line access to enterprise data protection capabilities.
Identify and protect sensitive data before it enters an AI workflow. AgentCloak supports context-aware:
- Tokenization
- Masking
- Hashing
- Sensitive data detection
- Data minimization
Original values can be restored only when the appropriate contextual conditions are met, helping prevent sensitive data from being exposed unnecessarily.
Add a consistent data protection layer to coding harnesses and CLI-based AI workflows without changing the way developers interact with their tools.
Cloaking and uncloaking operations can be logged and emitted through OpenTelemetry, enabling integration with existing security, monitoring, and observability environments.
Designed for AI coding harnesses
Enable Zero Trust data minimization for AI agents
AI coding workflows increasingly operate across multiple tools, services, agents, and geographic regions. This creates new challenges for organizations that need to control where sensitive data goes and who can access it.
AgentCloak CLI brings Zero Trust data minimization to AI harness workflows.
Instead of sending raw sensitive information through every stage of an agent workflow:
Identify sensitive information within the data being processed.
Replace sensitive values with protected representations such as tokens, masked values, or hashes.
Allow AI agents and tools to work with minimized or protected data.
Restore original values only when authorized conditions are satisfied.
Record cloaking and uncloaking activity for security, compliance, and observability.
Support cross-border and Sovereign AI workflows
AI agents and coding tools may operate across borders, creating additional data residency and regulatory challenges.
AgentCloak CLI helps organizations minimize sensitive data exposure while supporting AI workflows subject to regional data protection requirements.
Use data cloaking to help address requirements associated with regulations including:
- GDPR in the European Union
- Saudi Arabia PDPL
- China PIPL
- Other regional and industry-specific data protection requirements
By reducing the amount of sensitive data exposed to AI tools and enabling controlled restoration of original values, organizations can build AI workflows that are better aligned with data residency, data sovereignty, and Sovereign AI requirements.
Useful for CLI developers
AgentCloak CLI is designed to fit naturally into developer workflows.
Invoke data protection directly from the command line without introducing a separate application into the development workflow.
Choose the appropriate protection mechanism, tokenization, masking, hashing, or other cloaking strategies, based on the data and workflow.
Apply rules based on the context of the request, developer identity, and compliance requirements.
Export operational and security events through OpenTelemetry and integrate them with existing observability and security infrastructure.
Introduce data protection into AI development environments while aligning with enterprise security, privacy, and compliance requirements.
Frequently asked questions
AgentCloak CLI is a command-line data protection tool that enables AI harnesses to cloak and uncloak sensitive data within AI coding workflows.
Data cloaking protects sensitive information by replacing original values with protected representations such as tokens, masked values, or hashes. Authorized users or processes can restore the original values when predefined conditions are met.
AgentCloak CLI is designed to work with modern command-line AI coding environments and can be integrated with coding harnesses such as Hermes and OpenClaw.
Yes. AgentCloak helps identify and protect sensitive information including personally identifiable information (PII) and other regulated or confidential data.
AgentCloak restores original values only when defined contextual requirements are satisfied, such as the identity of the developer or the compliance context of the request.
Yes. AgentCloak helps organizations build AI workflows that minimize sensitive data exposure and support regional data protection, data residency, and Sovereign AI requirements.
Yes. Cloaking and uncloaking operations are logged and can also hook into OpenTelemetry, allowing organizations to integrate AgentCloak events with their existing observability and security infrastructure.
