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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 Backslash Security?

The software development lifecycle has undergone a fundamental shift. Across engineering organizations of every size, developers are using AI coding tools — GitHub Copilot, Cursor, Windsurf, Claude Code, Gemini CLI — as a core part of how software gets built. These tools accelerate delivery, but they also introduce a new and largely ungoverned attack surface that traditional security products were never designed to address. Backslash Security was built specifically for this environment. The platform gives security teams comprehensive visibility into the AI coding tools active across their organization, the code being generated, and the risk being introduced before it ever reaches production. This is not a legacy scanner retrofitted for a new market. Every capability in Backslash was designed from the ground up with AI-native development in mind. A critical risk vector is MCP servers — the infrastructure AI coding agents use to connect to external services and data sources. Misconfigured or over-permissioned MCP servers can expose sensitive organizational data to AI models, creating data leakage pathways that are invisible to conventional security tooling. Backslash provides full visibility into MCP server connections, flags over-permissioned configurations, and enforces access controls before exposure occurs. Core capabilities include AI coding tool inventory and policy enforcement, MCP server visibility and over-permission detection, data leakage prevention across AI agent connections, vibe coding security for risk detection in AI-generated code, and continuous monitoring across the full AI coding spectrum. The organizations that need Backslash have already crossed the AI coding adoption threshold. Their developers are moving fast, AI tools are embedded in daily workflows, and security visibility has not kept pace. Backslash closes that gap — giving security teams the control and confidence to let development move at the speed the business demands.