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Tenable Advances Exposure Management with Coverage Across Every Major AI Platform and Developer Tool 

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Tenable (NASDAQ: TENB) announced enhanced AI security capabilities in the Tenable One Exposure Management Platform, expanding Tenable One AI Exposure coverage to Google Gemini and reinforcing support for Anthropic Claude, OpenAI ChatGPT Enterprise and Microsoft Copilot. The update also adds discovery for major Model Context Protocol (MCP) deployments and AI-native IDE tools such as Cursor, Windsurf and Trae.

According to Tenable, its systems detected 457 million AI-related security issues across more than 7,000 organizations in 30 days, averaging 62,000 exposures per organization. New features include expanded sanctioned and shadow AI visibility, Google Gemini monitoring and policy enforcement, and operationalized remediation through Jira, ServiceNow, email, Slack and Teams integrations.

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Positive

  • Expanded AI platform coverage now includes Google Gemini plus major LLMs
  • 457 million AI-related exposures detected across 7,000+ organizations in 30 days
  • Operationalized remediation via Jira, ServiceNow, email, Slack and Teams integrations
  • Doubled coverage of sanctioned and shadow AI including MCPs, AI-native IDEs and extensions

Negative

  • None.

Market Context

The AI-tagged historical average was -1.39% across five events. Against that record, this coverage a...
Analysis

The AI-tagged historical average was -1.39% across five events. Against that record, this coverage announcement adds a new product datapoint; low short positioning reduces squeeze-related context, while adoption and execution remain relevant risks.

Key Figures

AI-related security issues: 457 million Organizations analyzed: more than 7,000 organizations Average exposures: 62,000 exposures per organization +3 more
6 metrics
AI-related security issues 457 million Detected by Tenable
Organizations analyzed more than 7,000 organizations AI-related security issues
Average exposures 62,000 exposures per organization Over a 30-day period
AI coverage doubles Coverage of sanctioned and shadow AI
Black Hat USA dates August 4-7, 2026 Tenable booth presentation
Booth number #2639 Black Hat USA

Previous AI Reports

5 past events · Latest: Jul 28 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jul 28 Agentic AI launch Positive -3.3% Always-on agentic fleet announced; the stock declined 3.3% over 24 hours.
Jul 01 Analyst recognition Positive +2.8% Gartner recognition for AI-powered exposure assessment accompanied a 2.77% 24-hour gain.
Jun 22 AI partnership Positive -2.0% OpenAI partnership involving GPT-5.5 announced; shares declined 1.97% over 24 hours.
Jun 09 Cloud AI launch Positive -3.2% AI-powered cloud detection and response launched; shares declined 3.16% over 24 hours.
May 21 AI API integration Positive -1.3% Claude Compliance API integration announced; shares declined 1.29% over 24 hours.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

AI-tagged announcements were positive in content but produced four negative and one positive 24-hour reactions.

Key Terms

llms, model context protocol, integrated development environment, shadow ai
4 terms
llms technical
"expanded AI attack surface created by increased adoption of LLMs"
Large language models are advanced computer programs that read and generate human-like text by learning patterns from huge amounts of written material; think of them as digital employees that can draft reports, answer questions, summarize documents, or generate code. They matter to investors because they can change a company’s costs, speed of product development, customer service, and competitive edge — and they also create new risks and regulatory questions that can affect profits and valuation.
model context protocol technical
"discovery to all major Model Context Protocol (MCP) deployments"
A model context protocol is a set of rules or guidelines that determine how a financial model interprets and applies information within a specific situation. It helps ensure consistent and accurate analysis by clarifying what data or assumptions are relevant in a given scenario. For investors, it provides clarity on how predictions or assessments are made, increasing confidence in decision-making.
integrated development environment technical
"AI-native Integrated Development Environment (IDE) tools"
An integrated development environment (IDE) is a single software application that brings together the tools programmers use to write, test and fix code — like a workshop that holds the workbench, tools, and measuring instruments in one place. Investors care because a good IDE can speed product development, reduce bugs and lower costs, which shortens time-to-market and can improve a technology company's reliability and profitability.
shadow ai technical
"including both authorized and shadow AI"
Shadow AI describes employees using artificial intelligence tools or services without formal approval, oversight, or integration into official systems — for example, personal subscriptions, free web apps, or browser add-ons. For investors this matters because these hidden tools can expose sensitive data, create compliance or legal problems, produce unreliable results, and lead to unexpected costs or reputational damage, much like an unapproved gadget in a factory that creates safety and billing surprises.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Tenable now delivers greater risk visibility and governance across an expanded AI attack surface created by increased adoption of LLMs, MCPs and AI tools

LAS VEGAS, Aug. 04, 2026 (GLOBE NEWSWIRE) -- Black Hat USA Booth #2639 — Tenable® Holdings, Inc. (NASDAQ: TENB), the exposure management company, today announced enhanced AI security capabilities within the Tenable One Exposure Management Platform. Tenable One AI Exposure now delivers expanded platform coverage with support for Google Gemini, extending its coverage across major LLMs: Google Gemini, Anthropic Claude, OpenAI ChatGPT Enterprise and Microsoft Copilot. The release also extends discovery to all major Model Context Protocol (MCP) deployments and AI-native Integrated Development Environment (IDE) tools. Together, these capabilities give security teams a more complete view of where AI is being used, what risk it creates and where action is needed.

The rapid adoption of AI across the enterprise has created a critical AI exposure gap, a largely invisible risk that emerges across interconnected applications, infrastructure, identities and data. Underscoring this risk, Tenable detected 457 million AI-related security issues across more than 7,000 organizations, averaging 62,000 exposures per organization over a 30-day period. Traditional security tools leave security teams blind to high-impact attack paths, forcing them into a reactive loop rather than preemptively reducing AI risk.

Tenable One continuously discovers 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.

New AI security capabilities within Tenable One include:

  • Google Gemini Coverage: Tenable One now delivers visibility and governance for Google Gemini including monitoring of user interactions and prompt responses, policy enforcement, and detection of malicious activity and inappropriate usage.
  • Enhanced AI Visibility: Tenable One now doubles its coverage of sanctioned and shadow AI, supporting MCPs, AI-native IDEs (such as Cursor, Windsurf and Trae) and AI-enabled browser extensions.
  • Operationalized Remediation: Organizations can remediate faster by creating tickets directly in Jira and ServiceNow or alerting users on policy violations by sending automated email notifications, Slack or Teams messages.

“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.”

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.

Visit the Tenable booth #2639 this week at Black Hat USA, August 4-7, 2026, to see Tenable One in action.

More information about Tenable One AI Exposure is available at: https://www.tenable.com/products/ai-exposure

About Tenable
Tenable® is the exposure management company, exposing and closing the cybersecurity gaps that erode business value, reputation and trust. The company’s AI-powered exposure management platform radically unifies security visibility, insight and action across the attack surface, equipping modern organizations to protect against attacks from IT infrastructure to cloud environments to critical infrastructure and everywhere in between. By protecting enterprises from security exposure, Tenable reduces business risk for over 40,000 customers around the globe. Learn more at tenable.com.

Media Contact:
Tenable
tenablepr@tenable.com


FAQ

What AI security enhancements did Tenable (NASDAQ: TENB) announce for Tenable One AI Exposure on August 4, 2026?

Tenable announced expanded Tenable One AI Exposure coverage across Google Gemini, Anthropic Claude, OpenAI ChatGPT Enterprise and Microsoft Copilot. According to Tenable, the release also adds discovery for MCP deployments, AI-native IDEs and AI-enabled browser extensions, improving visibility, governance and remediation of AI-related cyber risks.

How does Tenable One help manage shadow AI and sanctioned AI risk for TENB customers?

Tenable One continuously discovers AI across endpoints, cloud and LLM applications, covering both authorized and shadow AI. According to Tenable, it inventories AI assets via the Tenable Exposure Graph, helping organizations map, analyze and govern AI use while enforcing policies and preventing cyber exposures.

What specific Google Gemini security capabilities are included in Tenable One AI Exposure?

Tenable One now delivers visibility and governance for Google Gemini, including monitoring user interactions and prompt responses. According to Tenable, it supports policy enforcement and detection of malicious activity and inappropriate usage, enabling security teams to manage Gemini-related risk more effectively within their environments.

How does Tenable integrate AI exposure remediation with Jira and ServiceNow for TENB clients?

Tenable One enables faster remediation by creating tickets directly in Jira and ServiceNow for AI-related issues. According to Tenable, security teams can also alert users on policy violations via automated email notifications, Slack or Microsoft Teams messages to streamline operational response workflows.

What are Tenable AI Exposure and Tenable Hexa AI, and how do they differ?

Tenable AI Exposure focuses on discovering, assessing and securing how AI is used across environments. According to Tenable, Tenable Hexa AI is an agentic engine that uses AI to coordinate agents, automate security tasks and accelerate remediation, enhancing overall security operations.

Does Tenable claim unified AI visibility across all major LLMs and tools with this update?

Tenable states that, with expansion to Google Gemini, MCP and AI-native IDE deployments, it is the only exposure management platform delivering unified AI visibility and governance. According to Tenable, this coverage spans major LLMs, software and tools within the Tenable One platform.