Product comparison
Verdictan vs. Varonis Atlas AI Security
You need to know what AI exists, what data it can reach, and what happens when risky behavior occurs.
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. Varonis Atlas AI Security: Key differences
Verdictan governs supported model traffic, while Varonis Atlas covers AI discovery, posture, testing, runtime, and compliance.
Atlas builds a living AI estate
Varonis documents sanctioned and shadow AI across models, agents, tools, projects, data access, identities, and dependencies.
AI risk includes the data an asset can reach
Atlas combines AI activity with sensitive data classification, access, identities, and intent from the Varonis platform.
An AI Gateway applies inline guardrails
Atlas inspects prompts and responses and can block prompt injection, jailbreaks, data exfiltration, and policy violations.
Side by side
Feature comparison
Scroll horizontally to review all comparison columns.
| Feature | Verdictan | Varonis Atlas AI Security |
|---|---|---|
| Scope and inventory | ||
| Shadow AI discovery | Not documented in the reviewed sources | Documented |
| AI inventory | Not documented in the reviewed sources | Documented |
| Sensitive-data permission mapping | Not documented in the reviewed sources | Documented |
| Custom AI system discovery | Not documented in the reviewed sources | Documented |
| Posture, testing, and runtime | ||
| AI vulnerability posture assessment | Not documented in the reviewed sources | Documented |
| AI penetration testing | Not documented in the reviewed sources | Documented |
| Runtime gateway | Documented | Documented |
| Runtime enforcement | Documented | Documented |
| Detection, governance, and data handling | ||
| Runtime activity audit records | Documented | Documented |
| Compliance framework reports | Not documented in the reviewed sources | Documented |
| Third-party AI risk assessments | Not documented in the reviewed sources | Documented |
| AI interaction retention | Not documented in the reviewed sources | Documented |
Common questions
What to ask before you decide
Is Varonis Atlas an LLM gateway?
Atlas includes an AI Gateway, but its product scope also covers discovery, posture, testing, monitoring, governance, and compliance.
Can Atlas discover shadow AI?
Yes. Varonis documents continuous inventory for approved and shadow AI assets across the enterprise.
Does Atlas use data context?
Yes. It combines AI activity with sensitive data access, permissions, identities, and intent.
Can Atlas block runtime attacks?
Varonis documents inline guardrails for prompt injection, jailbreaks, data exfiltration, and unsafe behavior.
What should the pilot measure?
Measure inventory accuracy, data context, posture findings, attack tests, runtime actions, audit detail, retention, and latency.
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 supported AI platforms, agent frameworks, clouds, repositories, runtime protocols, and deployment regions.
- Review prompt and response storage, role access, retention, tenant separation, and incident export requirements.
- Treat vendor claims of completeness or uniqueness as positioning, not as comparative proof.
- 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: API tokens and authentication for IDE integration
- 7. Varonis: AI Security
- 8. Varonis: Varonis Launches Atlas to Secure AI and the Data That Powers ItUpdated May 28, 2026
- 9. Varonis: Atlas AI Security: An Architectural Deep Dive
- 10. Varonis: Privacy Standards and Practices
Verdictan is not affiliated with Varonis. 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 control plane that sees the AI estate, sensitive data access, runtime behavior, and compliance evidence.