Tenable expands its AI security coverage across multiple AI platforms

In August 2026, Tenable expanded the AI security capabilities of its Tenable One Exposure Management Platform, adding support for Google Gemini and extending visibility across major large language models (LLMs), AI development tools, and Model Context Protocol (MCP) deployments.

The company said Tenable One AI Exposure now supports Google Gemini alongside Anthropic Claude, OpenAI ChatGPT Enterprise, and Microsoft Co-Pilot, while also providing discovery of AI-native integrated development environments (IDEs), including Cursor, Windsurf, and Trae, as well as AI-enabled browser extensions.

According to Tenable, this enhanced platform will help organizations to identify authorized and shadow AI deployments, enforce AI usage policies, as well as automate remediation through integrations with tools such as Jira and ServiceNow. Tenable also disclosed that it identified 457 million AI-related security issues across more than 7,000 organizations, averaging 62,000 AI exposures per organization over 30 days.

Tenable One is also continuously discovering AI across endpoints, cloud, and LLM applications, including both authorized and shadow AI. It inventories AI assets with the Tenable Exposure Graph, Tenable's data lake that aggregates massive volumes of security data to help organizations map, analyze, and prevent cyber risks. Tenable One reduces real-world AI risk by securing the environments where AI runs and hardening AI workloads before they can be exploited. With these new advancements, Tenable One enables organizations to gain better visibility, context, and control to manage AI risk while being able to govern AI use, enforce policies, and prevent cyber exposures.

Impact on the AI Market

The boost of digital transformation, widespread cloud adoption, and the growing reliance on API-centric integrations across industries are key drivers propelling the growth of the AI security management market. The market also focuses on safeguarding and optimizing tools and systems that connect disparate applications and systems, serving as critical enablers of modern digital ecosystems. As cybersecurity threats rise and multi-cloud environments become more complex, organizations are increasingly prioritizing robust AI governance frameworks to ensure operational reliability, scalability, and regulatory compliance.

The reason why AI is making such a vast impact is because of its self-learning capabilities. Initially, the computer learned to reason about objects of interest in the scene. Now, it can detect objects in the real world, match the results with the correct annotations, which are provided by humans, and try to improve further. This way, it is constantly learning and improving. Error is minimized with every iteration and moves closer to efficiency.

Tenable One brings together two distinct AI capabilities. Tenable AI Exposure helps organizations discover, assess, and secure how AI is being used across their environments. Tenable Hexa AI is the platform’s agentic engine, using AI to coordinate agents, automate security tasks, and accelerate remediation. Put simply, AI Exposure helps organizations secure their use of AI, while Hexa helps them use AI to improve security operations. Together, they advance Tenable’s preemptive security strategy by helping organizations reduce AI-related risk and act on cyber exposure more efficiently.

Impact on the Cybersecurity Services Market

The global cybersecurity services market size is accounted at USD 177.27 billion in 2025 and predicted to increase from USD 188.66 billion in 2026 to approximately USD 328.32 billion by 2035, expanding at a CAGR of 6.36% from 2026 to 2035.

According to Precedence Research, the government and private sectors are spending large amounts on cybersecurity systems to prevent cyber risks. Cybersecurity services secure confidential data from BFSI, healthcare, manufacturing, and government sectors. Instances of cyber threats are rising continuously, raising concerns among businesses. As cyber threats are becoming more and more sophisticated, businesses are actively choosing well-developed security systems. 

The use of artificial intelligence is also helping cybersecurity companies address new security risks. Artificial intelligence (AI) allows quick analysis of a lot of data so that anomalies can be noticed shortly after they occur. Thanks to predictions, the organization can act fast and prevent damage or loss. The growing number and difficulty of cyber threats encourage businesses to rely more on AI to avoid data breaches and stay in line with stringent regulations.

Impact on the AI in Cybersecurity Market

The global artificial intelligence (AI) in cybersecurity market size accounted for USD 29.64 billion in 2025 and is predicted to increase from USD 35.40 billion in 2026 to approximately USD 167.77 billion by 2035, representing a CAGR of 18.93% from 2026 to 2035.

According to Precedence Research, several cybercriminal enterprises have already invested in automation, machine learning, and AI to introduce large-scale, directed cyberattacks against companies as the number of threats and the risk of ransomware attacks continue to increase all over the world. The growing number of cyberattacks targeting high-tech firms, defense organizations, and government agencies further highlights the demand for sophisticated AI-driven solutions. Such advancements aim to address evolving challenges in securing sensitive data and critical infrastructure.

AI also plays a vital role in the market by facilitating the proliferation of 5G technology and the rising demand for cloud-based security solutions among small and medium-sized organizations. Artificial intelligence in cybersecurity is currently gaining popularity to secure information. Because end users are anticipated to embrace AI in cybersecurity to address security concerns and spot new types of assaults that can occur at any time, the market for artificial intelligence in cybersecurity is growing quite steadily.

Expert Opinion

“The massive volume of AI exposures confirms the operational reality that authorized and unauthorized AI is deployed faster than security teams can govern it,” said Eric Doerr, Chief Product Officer, Tenable. “There’s no denying that AI attack surfaces are making defenders’ jobs even harder, and legacy or siloed cybersecurity tools simply don’t cut it. With today’s expansion to include Google Gemini, MCP, and AI-native IDE deployments, Tenable is the only exposure management platform delivering unified AI visibility and governance across all major LLMs, software, and tools.”