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What is ZeusLock?

ZeusLock is an AI-focused Data Loss Prevention (DLP) solution designed to protect organizations from sensitive data exposure when using generative AI platforms. It safeguards enterprise data during interactions with AI services such as ChatGPT, Claude, Gemini, Copilot, and Grok. Through real-time analysis, ZeusLock detects, blocks, or anonymizes sensitive information before it leaves the organization’s environment. The platform helps prevent data leaks, secure AI interactions, and protect against AI-specific threats such as prompt injection attacks and jailbreak attempts. ZeusLock provides flexible enforcement modes, including alerting, blocking, and anonymization, with customizable detection policies, centralized dashboards for incident monitoring, trend analysis, compliance reporting, and API integrations. Available as a SaaS B2B solution or deployable on-premise for organizations with advanced security, privacy, and data sovereignty requirements, ZeusLock adapts to different enterprise environments and security architectures. The solution secures AI interactions through the Model Context Protocol (MCP) and protects AI usage across web browsers, desktop applications, IDEs, command-line interfaces, and AI agents running on Windows, macOS, and Linux. Powered by a European sovereign detection engine, ZeusLock identifies sensitive data including API keys, passwords, tokens, IBAN numbers, personally identifiable information (PII), and enterprise secrets without relying on American cloud infrastructure for sensitive data analysis. Deployable through browser extensions, endpoint agents, CLI tools, or enterprise on-premise deployments, ZeusLock provides security teams with complete visibility and control over AI usage while enabling secure AI adoption and supporting compliance with GDPR, the EU AI Act, NIS2, and DORA requirements.

What is Cloaked AI?

Cloaked AI protects sensitive AI data through advanced encryption methods while ensuring it remains accessible. It allows for the secure encryption of vector embeddings stored in databases, meaning that only those with the correct key can search through these vectors. This strategy successfully prevents inversion attacks and other risks aimed at retrieval-augmented generation (RAG) systems, facial recognition technologies, and more, significantly boosting data security. In a time when the reliability of AI applications faces ongoing evaluation, these protective measures play an essential role in maintaining trust and integrity. Moreover, as the use of AI continues to expand, the necessity for robust security protocols becomes even more critical.

Media

Media

No images available

Integrations Supported

Model Context Protocol (MCP)

Integrations Supported

Model Context Protocol (MCP)

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$599/month
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ZeusLock

Date Founded

2025

Company Location

France

Company Website

zeuslock.ai

Company Facts

Organization Name

IronCore Labs

Date Founded

2015

Company Location

United States

Company Website

ironcorelabs.com

Categories and Features

Categories and Features

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