Tenable Holdings, Inc.TENB

Tenable warns that its AI and agentic AI may produce misleading or harmful outputs.

“Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. This risk extends to our enterprise operations, as employee use of third-party agentic AI solutions, such as browser plug-ins or other automated applications, could result in actions being taken without adequate human review or monitoring. Such unauthorized automated actions could, for example, lead to the inadvertent disclosure or modification”

Tenable warns of risks from generative and agentic AI including data disclosure and cybersecurity issues.

“of corporate data or other sensitive information, flawed communications to customers or partners, or the creation of unintended legal or financial obligations on behalf of the company. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI applications assist in producing could lead to customer rejection or skepticism of our products, affect our reputation or brand, and negatively affect our financial results. Further, unauthorized use or misuse of AI by our employees or others may result in disclosure of confidential company and customer data, reputational harm, privacy law violations and legal liability. Our use of generative AI may also lead to novel and urgent cybersecurity risks, including those related to personal data, which may adversely affect our operations and reputation, and these risks likely are compounded by our use of agentic AI.”

Tenable is dedicating resources to developing and deploying generative and agentic AI features.

“While AI features are presently increasing in popularity, we have no assurance that our AI technologies will continue to be accepted and sought by customers. The development of generative and agentic AI technologies is complex, and there are technical challenges associated with achieving the desired level of accuracy, efficiency, and reliability. The algorithms and models utilized in generative or agentic AI systems may have limitations, including biases, errors, or inability to handle certain data types or scenarios. Furthermore, there is a risk of system failures, disruptions, or vulnerabilities that could compromise the integrity, security or privacy of the generated content. These limitations or failures could result in reputational damage, legal liabilities, or loss of customer confidence, which, in turn, could result in lower than anticipated demand from customers to adapt our AI features. We have, and will continue, to dedicate significant resources to developing and deploying generative, agentic, or other AI features in our products and services, without assurances that we will, or will continue to, see customer demand and market conditions to support those investments.”

Tenable features its Hexa AI Agentic Engine as Layer 3 of its platform architecture.

“LAYER 3 · Action Tenable Hexa AI Agentic Engine LAYER 2 · Insight Exposure Data Fabric LAYER 1 · Visibility Surfaces and Signals D A T A F LO W”

Tenable describes progression to autonomous AI-driven remediation via its Hexa AI Agentic Engine.

“LAYER 2 · Action Tenable Hexa AI Agentic Engine The remediation continuum. Manual Security teams execute remediation manually. Human-led remediation Assisted Humans and AI coordinate remediation workflows. Hybrid remediation Autonomous AI-driven systems execute remediation automatically. Machine-led remediation”

Tenable is transforming into an AI-native company with its Hexa AI Agentic Engine as the top layer of platform architecture.

“The Tenable blueprint ● Vulnerability volume exponential increase. ● AI as an attack surface. ● Agentic economy TAM Expanded opportunity ● AI adoption. ● AI agents as first-class devs in development. ● AI acceleration squads. Velocity AI-native company Transforming Tenable into an AI-native company. MOAT Platform architecture Layer 3: Tenable Hexa AI Agentic Engine Layer 1: Surfaces and Signals Layer 2: Exposure Data Fabric”

Tenable describes its Hexa AI Agentic Engine as part of a layered platform blueprint.

“MOAT Platform architecture The defender's edge in the AI era is not the model. It's the data, the context, the harness, and the guardrails you build around it. The Tenable blueprint Layer 3: Tenable Hexa AI Agentic Engine Layer 1: Surfaces and Signals Layer 2: Exposure Data Fabric”

Tenable is transforming into an AI-native company with AI agents as developers.

“Velocity AI-native company ● AI adoption. ● AI agents as first-class devs in development. ● AI acceleration squads. Transforming Tenable into an AI-native company. The Tenable blueprint”

Tenable discusses paradigm shift to agentic execution with human oversight and guardrails.

“Paradigm shift: Agentic Execution + Human Oversight Humans AND Agents Hardness & Guardrails”

Tenable warns that its AI and agentic AI features may produce misleading insecure or harmful outputs increasing operational and legal risks.

“Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. This risk extends to our enterprise operations, as employee use of unvetted third-party agentic AI solutions, such as browser plug-ins or other automated applications, could result in actions being taken without adequate human review or monitoring. Such unauthorized automated actions could, for example, lead to the inadvertent disclosure or modification of corporate data or other sensitive information, flawed communications to customers or partners, or the creation of unintended legal or financial obligations on behalf of the company. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI”

Tenable states that use of generative and agentic AI creates novel cybersecurity risks including data disclosure and reputational harm.

“applications assist in producing could lead to customer rejection or skepticism of our products, affect our reputation or brand, and negatively affect our financial results. Further, unauthorized use or misuse of AI by our employees or others may result in disclosure of confidential company and customer data, reputational harm, privacy law violations and legal liability. Our use of generative AI may also lead to novel and urgent cybersecurity risks, including those related to personal data, which may adversely affect our operations and reputation, and these risks likely are compounded by our use of agentic AI.”

Tenable is investing resources to develop and deploy generative and agentic AI features but faces uncertain customer demand and technical risks.

“While AI features are presently increasing in popularity, we have no assurance that our AI technologies will continue to be accepted and sought by customers. The development of generative and agentic AI technologies is complex, and there are technical challenges associated with achieving the desired level of accuracy, efficiency, and reliability. The algorithms and models utilized in generative or agentic AI systems may have limitations, including biases, errors, or inability to handle certain data types or scenarios. Furthermore, there is a risk of system failures, disruptions, or vulnerabilities that could compromise the integrity, security or privacy of the generated content. These limitations or failures could result in reputational damage, legal liabilities, or loss of customer confidence, which, in turn, could result in lower than anticipated demand from customers to adapt our AI features. We have, and will continue, to dedicate significant resources to developing and deploying generative, agentic, or other AI features in our products and services, without assurances that we will, or will continue to, see customer demand and market conditions to support those investments.”

Tenable introduced Tenable Hexa AI, an agentic AI engine for security workflows.

“• Introduced Tenable Hexa AI, an agentic AI engine that automates security workflows and turns exposure intelligence into action at machine speed”

Tenable plans to release new agentic AI security and orchestration capabilities in its platform.

“• our ability to adapt to technological change, release new products and product features, including agentic AI security and orchestration capabilities, and effectively enhance, innovate and scale our enterprise platform and solutions;”

AI platforms including agentic AI introduce security gaps and blind spots.

“• AI platforms, including agentic AI, the use of which is introducing risk by creating often-invisible security gaps and blind spots;”

Agentic AI may generate flawed outputs leading to data disclosure, legal obligations, or reputational harm.

“Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. This risk extends to our enterprise operations, as employee use of unvetted third-party agentic AI solutions, such as browser plug-ins or other automated applications, could result in actions being taken without adequate human review or monitoring. Such unauthorized automated actions could, for example, lead to the inadvertent disclosure or modification of corporate data or other sensitive information, flawed communications to customers or partners, or the creation of unintended legal or financial obligations on behalf of the company. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI applications assist in producing could lead to customer rej”

Tenable dedicates resources to developing and deploying generative and agentic AI features in products.

“While AI features are presently increasing in popularity, we have no assurance that our AI technologies will continue to be accepted and sought by customers. The development of generative and agentic AI technologies is complex, and there are technical challenges associated with achieving the desired level of accuracy, efficiency, and reliability. The algorithms and models utilized in generative or agentic AI systems may have limitations, including biases, errors, or inability to handle certain data types or scenarios. Furthermore, there is a risk of system failures, disruptions, or vulnerabilities that could compromise the integrity, security or privacy of the generated content. These limitations or failures could result in reputational damage, legal liabilities, or loss of customer confidence, which, in turn, could result in lower than anticipated demand from customers to adapt our AI features. We have, and will continue, to dedicate significant resources to developing and deploying generative, agentic, or other AI features in our products and services, without assurances that we will, or will continue to, see customer demand and market conditions to support those investments.”

Tenable warns that its AI and agentic AI features plus third-party employee use can produce flawed harmful outputs and legal risks.

“Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. This risk extends to our enterprise operations, as employee use of unvetted third-party agentic AI solutions, such as browser plug-ins or other automated applications, could result in actions being taken without adequate human review. Such unauthorized automated actions could lead to the inadvertent disclosure or modification of corporate data, flawed communications to customers or partners, or the creation of unintended legal or financial obligations on behalf of the company. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics, which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI applications assist in producing could lead to customer rejection or skepticism of our products, affect our reputatio”

Tenable warns of risks from misleading or flawed outputs of its AI technology and agentic AI solutions.

“Our AI technology features may also generate output that is misleading, insecure, inaccurate, harmful or otherwise flawed. Agentic AI solutions may compound those risks by taking or implementing actions or outputs, which themselves may be based on flawed outputs, that further increase the risk of misleading, insecure, inaccurate, harmful or otherwise flawed outcomes. Our customers or others may rely on or use such misleading, insecure, harmful or otherwise flawed content to their detriment, which may harm our brand, reputation, business or customers, cause competitive harm or expose us to legal liability. For example, AI algorithms use machine learning and predictive analytics, which may be insufficient or of poor quality and reflect inherent biases and could lead to flawed, biased, and inaccurate results. Deficient or inaccurate recommendations, forecasts, or analyses that generative AI applications assist in producing could lead to customer rejection or skepticism of our products, affect our reputation or brand, and negatively affect our financial results. Further, unauthorized use or misuse of AI by our employees or others may result in disclosure of confidential company and customer data, reputational harm, privacy law violations and legal liability. Our use of generative AI may also lead to novel and urgent cybersecurity risks, including those related to personal data, which may adversely affect our operations and reputation.”

Tenable defines AI agents as programs that autonomously complete tasks.

“• Artificial intelligence, or AI, including AI agents, which are programs that autonomously complete tasks to meet established goals;”