New AI that protects your AI data
AgentCloak: advanced data protection to, from, and between AI agents
Protect data across AI workloads and for cross-border Sovereign AI requirements
Bidirectional data cloaking and uncloaking
Tuned AI detects and generalizes, tokenizes, hashes, or masks protected data, and then seamlessly uncloaks data into responses.
Governed digital twins secured by identity
Secure digital twins protect AI data in custom schemas, governed by identity context integrated with existing identity servers.
Seamless integration with MCP, CLI, and chat interfaces
Immediately protect data for MCP AI agents, command line interface interactions, and AI chat interfaces that connect to data sources.
Seamlessly substitute sensitive data and restore original values
- Realtime tuned AI detects PII personal data, PHI health data, and PCI DSS account numbers.
- Replace protected data with flexible tokenization, hashing, and masking strategies.
- Restore values only with proper identity context.
- Fully multimodal with protection for voice and text agents.
- Comply with EU AI Act data minimization requirements.
- Seamlessly integrates with MCP, CLI and AI chat interfaces.
Protect with next generation, AI-powered data generalization
- Fast, tuned AI generalizes personal and health data.
- Generalizes health terms like “headache” into generic terms like “minor neurological condition.”
- Generalize addresses into cities, states and provinces, countries, or regions.
- Generalizes ages and weights into age and weight brackets.
- Identifies multiple participants in a single conversation, such as “I’m writing about my father.”
Maintain a secure digital twin and govern with identity context
- Secure digital twin maintains protected data profiles.
- Digital twins can have flexible custom schemas.
- Memory of context history for contextual processing.
- Integrates with identity servers to scope cloaking and uncloaking policies.
Data protection trusted by top multinationals and approved by the most rigorous regulators
Seamlessly integrate with agentic flows and AI coding for both human in the middle and autonomous agents
- Use from Claude Code, OpenCode, and OpenAI Codex
- Protect MCP AI agents, command line interface interactions, and AI chat interfaces that connect to data sources.
- Invoke as an MCP Tool from any agent.
- Data Leak Protection protects unnecessary sensitive data from reaching AI servers.
- Data Loss Prevention protects data from escaping AI servers and application backends.
- AgentCloak can concurrently protect both clients and servers.
- Works with human in the middle agents and fully autonomous agents.
Centralized management of data policies and agentic identity
- Manage policies from a centralized dashboard and update in realtime.
- Integrate directly with existing identity servers and add scopes for agents and Cross App Access authorization tokens.
- Customize security rules and policies for different identity roles, apps, and use cases.
- Full observability with detailed logging and OpenTelemetry support.
Deploys as a secure edge service
Multi-tenant
Single tenant in any cloud
AWS Outposts
On-premises
Active-active failover available for all deployment models
Download the AgentCloak technical white paper
Explore the technical details of how AgentCloak safeguards your agentic flows