# Zotniq

> Zotniq is a runtime AI data protection platform for enterprises. It helps security, IT, data protection, risk, and compliance teams discover and govern AI use across employee devices, applications, autonomous agents, and MCP tool calls.

Canonical site: https://zotniq.ai/

Zotniq focuses on AI data protection, AI DLP, Shadow AI discovery, runtime AI governance, AI agent security, and MCP security. It inspects AI interactions before sensitive data reaches an AI destination and applies policy actions such as allow, mask, or block. Deployment options include an endpoint agent, a network-layer option, an SDK, and a REST API. For the most current and detailed product, security, legal, or compliance information, use the linked Zotniq pages below as the authoritative source.

## Product

- [Zotniq home](https://zotniq.ai/): Overview of Zotniq's runtime AI data protection platform and the AI interactions it governs.
- [Platform](https://zotniq.ai/platform/): Product architecture, deployment options, policy engine, inspection flow, and enforcement capabilities.
- [AI Exposure Audit](https://zotniq.ai/resources/exposure-audit/): A monitor-first assessment for identifying how teams use AI and where sensitive data may be exposed.

## Use cases

- [Browser AI security](https://zotniq.ai/use-cases/browser-ai/): Visibility and policy enforcement for prompts and attachments sent to browser-based AI tools.
- [Native AI application security](https://zotniq.ai/use-cases/native-apps/): Protection for native desktop AI applications.
- [AI coding assistant security](https://zotniq.ai/use-cases/coding-assistants/): Data protection for AI coding assistants used in IDEs and terminals.
- [Application AI security](https://zotniq.ai/use-cases/application-ai/): Runtime controls for AI features embedded in customer-facing and internal applications.
- [Autonomous AI agent security](https://zotniq.ai/use-cases/autonomous-agents/): Inspection and governance for backend agents that make decisions and take actions without a person at the keyboard.
- [MCP security and tool-call governance](https://zotniq.ai/use-cases/mcp-and-tools/): Discovery, inspection, and auditability for MCP servers and AI tool calls.

## Solutions

- [Shadow AI discovery](https://zotniq.ai/solutions/discovery/): Discover which AI tools are in use and establish a baseline before enforcing policy.
- [Runtime AI governance](https://zotniq.ai/solutions/governance/): Apply real-time policy to AI interactions across users, data types, and AI destinations.
- [AI compliance evidence](https://zotniq.ai/solutions/compliance/): Controls and evidence supporting enterprise AI governance and compliance programs.

## Trust and support

- [Trust center](https://zotniq.ai/trust/): Zotniq's security posture, data handling, deployment model, and compliance information.
- [Frequently asked questions](https://zotniq.ai/resources/faqs/): Answers about product coverage, deployment, enforcement, data handling, and compliance.
- [Company](https://zotniq.ai/company/): Information about Zotniq and its mission.
- [Get started](https://zotniq.ai/get-started/): Request a demonstration or an AI Exposure Audit.

## Research and articles

- [Zotniq blog](https://zotniq.ai/resources/blog/): Articles and research about runtime AI data protection, AI governance, and AI security.
- [AI Governance Without Rebuilding Your Tech Stack](https://zotniq.ai/resources/blog/ai-governance-without-rebuilding-tech-stack/): A practical guide to runtime AI governance for regulated small and medium-sized enterprises.
- [The 2:00 A.M. AI Mistake](https://zotniq.ai/resources/blog/2am-ai-mistake-customer-data/): How an AI-assisted production fix can expose credentials, customer PII, and financial identifiers.
- [The three waves of data protection](https://zotniq.ai/resources/blog/three-waves-data-protection/): Why prompts are the newest layer where sensitive enterprise data needs protection.

## Optional

- [Privacy policy](https://zotniq.ai/legal/privacy/): How Zotniq collects, uses, and protects personal information.
- [Terms of service](https://zotniq.ai/legal/terms/): Terms governing use of Zotniq services.
- [Security](https://zotniq.ai/legal/security/): Security practices and responsible disclosure information.
- [Data Processing Addendum](https://zotniq.ai/legal/dpa/): Data processing terms for customers.
- [Standard Contractual Clauses](https://zotniq.ai/legal/scc/): Information about international data transfer safeguards.
- [Subprocessors](https://zotniq.ai/legal/subprocessors/): Current subprocessors used to provide Zotniq services.