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Zotniq

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Zotniq is runtime AI usage control for the endpoint. It inspects prompts to ChatGPT, Copilot, Claude, Gemini and other AI tools before they leave the employee laptop, and applies team-level rules so sensitive customer data, PII, PHI, financial records, API secrets and proprietary code don’t reach third-party AI services. Built for CISOs, DPOs and AI governance teams at mid-market and enterprise organizations in financial services, healthcare and SaaS that are adopting AI tools without a data governance layer underneath. Zotniq runs on the device, not the network, so policies, evidence and audit trails stay in force on and off VPN. Core capabilities: \* Real-time detection of PII, PHI, PCI data and API secrets, plus custom data types for source code and internal identifiers \* Pre-send masking: sensitive data is replaced before the prompt reaches the AI tool \* Monitor mode to observe AI usage before enforcing, Enforce mode to mask or block \* Stop Copy Paste: one team setting blocks pastes into AI apps, AI browser tabs and AI tools running in terminals \* AI inventory of the AI apps and MCP servers in use across devices \* Kill switch for emergency, organization-wide AI blocking \* Team-scoped governance rules \* SIEM forwarding (Splunk, Datadog, webhook) \* Audit evidence export for GDPR, HIPAA, SOC 2 and DPDP \* Python SDK (pip install zotniq) with detection primitives and drop-in wrappers for OpenAI and Anthropic Common use cases: masking PII before ChatGPT and Copilot prompts leave the laptop; stopping copy-paste of sensitive data into AI tools; audit evidence for AI data handling under GDPR, HIPAA and SOC 2; Monitor-mode rollouts that produce board-ready evidence before enforcement; SDK integration for developers building AI applications.

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