Tenable And OpenAI Strengthen Security For Enterprise AI Agents

In September 2026, Tenable collaborated with OpenAI to develop CyberAgents Exchange AI Inspector, which is a security review process for AI agents, skills, MCP servers, and multi-agent playbooks available through Tenable’s CyberAgents Exchange. Unveiled today at OpenAI’s Intelligence at Work: Cyber Summit, Exchange Inspector combines frontier assessment using OpenAI GPT cyber models, skills inspection powered by Tenable One AI Exposure, and expert review from Tenable researchers, helping to enable security teams to safely accelerate enterprise adoption of agentic AI. The collaboration grew from Tenable’s participation in the OpenAI Daybreak Defense Network. Exchange Inspector is expected to be available in September.

Launched in August 2026, the CyberAgents Exchange is an open-source, cybersecurity-native registry for AI agents, skills, MCP servers, and multi-agent playbooks in the current market. Following its recent SWARM build event, hosted by Tenable at Black Hat USA, the Exchange now includes more than 100 community-submitted AI components.

The Exchange Inspector also combines assessments using OpenAI GPT cyber models with Tenable One AI Exposure and reviews by Tenable security researchers. The company said the process is intended to help security teams assess AI components before deploying them in enterprise environments.

The CyberAgents Exchange, launched in August, is an open-source registry for AI agents, skills, MCP servers and multi-agent playbooks. Tenable said it now contains more than 100 community-submitted AI components.

Impact on the AI Market

Exchange Inspector is set to use OpenAI’s GPT cyber models for frontier security assessments, while Tenable One AI Exposure will inspect the skills within submitted components. Tenable researchers will also review the components as part of the process. The aim is to give security teams more visibility into the risks associated with third-party and community-built AI components before they are introduced into enterprise environments.

The development comes as AI agents are moving beyond standalone assistants toward systems that can access tools, interact with enterprise data, and execute tasks with limited human intervention. This creates additional security considerations around the components that agents use and the permissions they receive.

Impact on the Artificial Intelligence as a Service Market

The global artificial intelligence as a service market size is estimated at USD 16.48 billion in 2025 and predicted to increase from USD 22.70 billion in 2026 to approximately USD 294.83 billion by 2034, expanding at a CAGR of 37.78% from 2024 to 2034.

According to Precedence Research, the market is quickly growing as today's businesses are adopting AI-enabled solutions on cloud platforms. Organizations are also increasingly leveraging AIaaS to improve automation, decision-making, and efficiency. The increase in the use of natural language processing (NLP), predictive analytics, and machine learning (ML) technologies/solutions in businesses is driving this demand. Due to its flexibility and cost structure, AIaaS is preferred in almost every industry and has the potential to transform the global economy digitally, thereby contributing to the continuing expansion of the global market.

Artificial Intelligence as a Service is rapidly gaining massive traction as businesses are increasingly adopting cloud-based AI platforms in order to identify and provide quick digital transformation. Companies are adopting AIaaS capabilities, such as predictive analytics, automation, NLP, and computer vision, with minimal investments in infrastructure. There is also a growing investment trend relating to the market growth of AI innovation and enterprise modernization.

Impact on the Artificial Intelligence of Things (AIoT) Market

The global artificial intelligence of things (AIoT) market size accounted for USD 225.89 million in 2025 and is predicted to increase from USD 297.60 million in 2026 to approximately USD 3,248.22 million by 2035, expanding at a CAGR of 30.55% from 2026 to 2035.

According to Precedence Research, the market is rapidly evolving as organizations seek to harness real-time intelligence from connected devices. The Internet of Things and artificial intelligence are combined to create AIoT, whereby AI algorithms evaluate data from networked devices to facilitate quicker, more intelligent, and self-governing decision-making. Businesses can use predictive maintenance techniques to increase asset utilization, lower operating costs, and boost productivity thanks to this integration. The increasing need for automation, real-time analytics, and smart infrastructure is fueling the expansion of AIoT use in the manufacturing, healthcare, transportation, retail, and energy sectors.

Artificial intelligence plays a crucial role in connected devices like IoT, enabling intelligent automation and real-time decision-making. By integrating AI into IoT systems, businesses can glean useful insights from massive volumes of sensor-generated data. Predictive maintenance is made possible through AI, enabling autonomous control and enhancing the operational efficiency of IoT. Advanced features like pattern recognition, anomaly detection, facial/object recognition, and natural language interaction are made possible by AI, which allows IoT devices to go beyond simple data collection.