Turkish company ShadowX offers an enterprise AI security platform focused on controlling how employees, developers, and agents use AI tools. The platform combines sensitive-data discovery, visibility into what is known as “shadow AI,” model security, and protection for agentic AI systems within a single layer.
ShadowX was founded in 2024 by Nedim Kaya and Erdinç Balcı, and its team consists of 11 people, a large portion of whom work in product development, AI, cybersecurity, and software engineering. After approximately two years of development, the company built the platform’s core infrastructure internally, with the ability to integrate large language models and open-source technologies according to customer needs.
Protecting Data Before It Reaches the Model
The FilterX component enables real-time inspection of text, files, and images that employees send to AI models. It can detect and redact sensitive information or rephrase inputs before they are shared, using regular-expression rules, natural language processing, and local language models. Supported files include PDFs, Word documents, Excel spreadsheets, presentations, and images.
The company says FilterX captures sensitive data before it is shared, while enabling comparisons between the original input and the redacted version. VisionX, meanwhile, brings together browser extensions, AI channels, and endpoint alerts in a single interface to monitor the use of these tools within the organization.
From Model Protection to Agent Security
The Model Defense component focuses on detecting attacks such as prompt injection and jailbreak attempts before they reach the model, in addition to privacy-extraction and misuse scenarios. RedX tests AI systems through real-world attack scenarios, while SOC-AI is intended to analyze security operations center events and automate some repetitive initial analysis tasks.
ShadowX places particular emphasis on the security of agents capable of sending email, accessing files, writing code, or carrying out operations through application programming interfaces. The AI Agents component enables restrictions on the actions agents can perform according to specific policies, while MCP Monitoring monitors agents’ and tools’ connections to external MCP servers.
What Changes in Practice?
The platform’s importance lies in shifting AI protection from monitoring employee conversations alone to controlling a broader interaction lifecycle that includes data, models, agents, and the tools connected to them. The option to operate within an organization’s infrastructure gives financial institutions and government entities a way to process sensitive data without sending it to third-party cloud services, while the effectiveness of the security controls and the results of actual use still require independent evaluation.
ShadowX is currently used in Turkey, particularly in the banking, government, and technology sectors, and is conducting proof-of-concept projects and sales with customers of different sizes. It also has a customer in the United Kingdom. The company supports on-premises, cloud, and hybrid deployment models, and derives its revenue from annual subscriptions that vary according to the modules, number of users, and deployment model.
The company aims to expand its customer base and partner network in Europe, the Middle East, and Africa before expanding into the United States and the Asia-Pacific region. In the long term, it wants to turn ShadowX into a platform that secures all interactions between humans and AI systems, not just employees’ tools.