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WebOrion Protector Plus

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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 WebOrion Protector Plus?

WebOrion Protector Plus represents a cutting-edge firewall solution that harnesses GPU technology to protect generative AI applications with critical security measures. It offers immediate defenses against rising threats, such as prompt injection attacks, unauthorized data exposure, and misleading content generation. Key features include safeguards against prompt injections, the protection of intellectual property and personally identifiable information (PII) from unauthorized access, and content moderation to ensure the accuracy and relevance of responses generated by large language models. Furthermore, the system employs user input rate limiting to mitigate potential security flaws and manage resource use effectively. At the heart of its security framework is ShieldPrompt, a sophisticated defense system that assesses context through LLM analysis of user inputs, conducts canary checks by incorporating deceptive prompts to detect potential data leaks, and thwarts jailbreak attempts through advanced techniques like Byte Pair Encoding (BPE) tokenization paired with adaptive dropout strategies. This holistic methodology not only strengthens the security posture but also significantly boosts the trustworthiness and reliability of generative AI systems, ensuring they can perform optimally in a secure environment. Consequently, organizations can confidently deploy these AI solutions while minimizing risks associated with data breaches and inaccuracies.