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Description

Enterprise copilots and low-code/no-code platforms have revolutionized the process of developing robust business AI applications and bots, making it quicker and more accessible than ever. With the advent of generative AI, individuals from various technical backgrounds can now foster innovation, streamline repetitive tasks, and design efficient workflows with ease. Much like the public cloud, while these AI and low-code solutions safeguard the foundational infrastructure, they do not protect the resources or data that are built on top of it. As a multitude of applications, automations, and copilots are being developed, the risks associated with prompt injection, RAG poisoning, and data leaks significantly escalate. In contrast to traditional software development, the use of copilots and low-code platforms often overlooks the crucial phases of testing, security analysis, and performance evaluation. By empowering both professional and citizen developers, organizations can enable the creation of tailored solutions that adhere to security and compliance requirements. We invite you to discuss how your team can effectively harness the power of copilots and low-code development to drive your business forward. This collaboration could lead to innovative solutions that not only meet your needs but also enhance overall operational efficiency.

Description

Workplace use of AI tools such as ChatGPT, Copilot, Claude, Perplexity and DeepSeek has surged, often without oversight from IT departments. More than 92% of employees now use generative AI at work, exposing financial data, API keys, passwords, source code and personal records. Traditional Data Loss Prevention (DLP) solutions and proxies were not built for this new threat. Enter ZeusLock, a DLP solution designed specifically for the AI era. It analyzes prompts, files and images in real time and detects, anonymizes or blocks sensitive data before it reaches any AI service. Deployment takes about two minutes through a browser extension and an endpoint agent for Windows, macOS and Linux, protecting web apps, desktop apps, IDEs, terminals and AI agents, including their connections through the Model Context Protocol (MCP). Each data type is set to Off, Alert or Block per policy; Alert mode can anonymize values while preserving their format, and every incident is logged in masked form for auditing. ZeusLock also stops prompt injection and jailbreak attacks, and its Shadow AI Discovery maps the AI tools employees actually use, with risk scores and approval status. Detection relies on a dedicated multimodal language model backed by deterministic rules, hosted in Europe, or fully on-premise with the Sovereign Edition, with no US cloud dependency. This approach lets organizations embrace AI tools with confidence while keeping their data secure.