Product comparison
Verdictan vs. Cyberhaven Generative AI Security
You need to let people and agents use AI without losing the origin, context, or destination of protected data.
Why Verdictan
Verdictan applies policy at the gateway and records request-level decision evidence for supported AI traffic. Run it in a self-hosted or air-gapped environment.
Key differences
Verdictan vs. Cyberhaven Generative AI Security: Key differences
Verdictan governs supported model traffic, while Cyberhaven follows data across endpoints, applications, tools, and agent workflows.
Cyberhaven follows data through AI activity
Its Data Lineage graph links sensitive data origins, transformations, agent actions, and destinations across workflows.
The endpoint agent discovers more than browser chat
Cyberhaven lists coding assistants, CLIs, IDEs, open-source agent frameworks, MCP servers, and mainstream AI applications.
Controls use data and risk context
Cyberhaven documents block, warn, and redact actions for prompts, responses, agent actions, and downstream data flows.
Side by side
Feature comparison
Scroll horizontally to review all comparison columns.
| Feature | Verdictan | Cyberhaven Generative AI Security |
|---|---|---|
| Boundary and discovery | ||
| Endpoint and SaaS AI data controls | Not documented in the reviewed sources | Documented |
| AI application discovery | Not documented in the reviewed sources | Documented |
| Endpoint agent discovery | Not documented in the reviewed sources | Documented |
| AI data lineage | Not documented in the reviewed sources | Documented |
| Risk and enforcement | ||
| AI risk scoring | Not documented in the reviewed sources | Documented |
| Prompt and response controls | Documented | Documented |
| Enforcement actions | Documented | Documented |
| AI-generated data | Not documented in the reviewed sources | Documented |
| Agents and evidence | ||
| Agent execution visibility | Not documented in the reviewed sources | Documented |
| MCP monitoring | Limited: Pilot required | Documented |
| Compliance record | Documented | Documented |
| Model-spend budget enforcement | Documented | Not documented in the reviewed sources |
Common questions
What to ask before you decide
Is Cyberhaven an LLM gateway?
Its official AI pages describe a data security platform that uses endpoint and cloud visibility across AI workflows.
What does Data Lineage add?
It connects sensitive data origins with agent actions, transformations, destinations, and enforcement context.
Can Cyberhaven discover agent tools?
Yes. It lists endpoint coding assistants, CLIs, IDEs, agent frameworks, and MCP servers.
Can Cyberhaven block risky AI data use?
Yes. Its product page documents real-time block, warn, and redact actions based on data and tool context.
What should the pilot measure?
Measure discovery coverage, lineage accuracy, risk scoring, prompt controls, agent context, enforcement, and audit exports.
How we researched this page
We checked the official sources below on Aug. 11, 2026. Product scope, plan access, beta status and support can change.
- Confirm the supported operating systems, AI tools, agent frameworks, MCP transports, and cloud connectors.
- Validate lineage quality with copied, transformed, compressed, and AI-generated sensitive data.
- Treat Cyberhaven performance and efficacy figures as vendor-reported until reproduced in your environment.
- 1. Verdictan: Verdictan AI governance gateway
- 2. Verdictan: Verdictan product
- 3. Verdictan: Verdictan documentation overview
- 4. Verdictan: verdictan gateway run
- 5. Verdictan: OpenAI integration
- 6. Verdictan: Usage costs and budgets
- 7. Cyberhaven: AI Security for the Age of Autonomous Agents
- 8. Cyberhaven: Cyberhaven for generative AI
- 9. Cyberhaven: Data Security Posture Management
- 10. Cyberhaven: Security policyUpdated May 1, 2025
Verdictan is not affiliated with Cyberhaven. Product names can be trademarks of their respective owners.
Put the comparison to work
Try Verdictan with representative traffic after you compare the documented boundaries.
You select a pilot that sees the sensitive data, actors, destinations, and actions that matter.