IONIX Expands External Exposure Management with Detection of AI Assets

New capability helps security teams uncover and mitigate risks from the fast-moving AI revolution 

Tel Aviv, Israel – September 17, 2025 – IONIX, a leader in External Exposure Management, today announced the launch of a critical capability: automated detection of AI-related technologies across an organization’s web-facing assets. Security teams now gain unprecedented visibility into sanctioned and even unsanctioned AI projects, helping them mitigate risks created by the accelerating adoption of artificial intelligence. 

The Challenge: AI at Breakneck Speed 

The AI revolution is moving faster than most organizations can track. Every week, new frameworks, orchestration platforms, and automation tools hit the market. Developers eager to experiment with large language models (LLMs) and AI-powered workflows are rapidly deploying chatbots, APIs, orchestration layers, and workflow automation systems often without security oversight. 

At IONIX, researchers have observed a clear pattern: AI experiments are bypassing governance processes, spinning up as “temporary” projects but often remaining connected to critical infrastructure. These assets are frequently deployed with weak or incomplete configurations, leaving them exposed to the internet and creating fertile ground for attackers. 

“AI has ignited a gold rush, but the security implications are being overlooked,” said Marc Gaffan, IONIX CEO. “What begins as an experiment can quickly escalate into a major security incident if these services remain exposed. Our new AI asset detection capability is designed to help security teams regain visibility and control before attackers exploit these blind spots.” 

Introducing AI Asset Detection 

With its new capability, IONIX now automatically scans an organization’s external attack surface to identify AI-powered assets, no matter where or how they were deployed. Current coverage includes detection of technologies such as hosted MCP servers, AI-based app builders such as Lovable, Vercel v0, and Base44, agentic workflow automation platforms such as n8n and Flowise, LLM frameworks such as LiteLLM and LocalAI, and many more. 

For example, during early testing IONIX identified an exposed n8n instance that had not yet been fully configured by its administrator. This instance was accessible to anyone on the internet, presenting an opportunity for a malicious actor to hijack the asset and potentially move laterally into connected systems. In another example, IONIX discovered OpenAI API keys that were wrongly placed in an application’s frontend code. Detailed explanation of this example and others can be found on the IONIX blog here.    

IONIX goes beyond simple discovery. The platform provides evidence and validation plus clear remediation steps, enabling teams to understand not only what is exposed, but also to resolve issues quickly. 

Expanding Capabilities for the AI Era 

This launch marks only the beginning of IONIX’s focus on securing the AI ecosystem. In the coming weeks, support will expand to cover even more AI technologies. The IONIX roadmap is focused on building comprehensive coverage of emerging AI tools and frameworks, ensuring that organizations are protected as this technology wave accelerates. 

IONIX empowers security teams to: 

• Automatically discover sanctioned and shadow AI assets across their external attack surface. 

• Validate misconfigurations with evidence, enabling rapid remediation. 

• Provide detailed and clear remediation steps as part of each security finding. 

• Stay ahead of emerging threats by continuously expanding detection coverage as new AI technologies appear. 

About IONIX 

IONIX delivers continuous, external exposure management that goes beyond surface-level discovery. It actively maps your complete internet-facing footprint, including shadow IT and third-party dependencies, and determines which exposures are truly exploitable. IONIX simulates attack paths, detects misconfigurations, and provides prioritized remediation guidance – ensuring that your digital risk is understood in the full context of your security controls. 

For more information, visit www.ionix.io.