Key Capabilities / Features

#1 Vulnerability Prioritization Rating (VPR) threat model – Unlike static vulnerability scores, Tenable’s VPR dynamically adjusts based on real-world threat intelligence and AI-driven analysis backed by world-class threat research and data science teams. By incorporating patented machine learning models and Retrieval-Augmented Generation (RAG)-based LLMs, it provides deeper insights into exploitability trends, further refining prioritization accuracy and predicting potential threats before they materialize.

#2 Intelligent Threat Contextualization & Risk Prioritization – Leverage Vulnerability Intelligence to analyze 50 trillion data points, providing deep insights into vulnerabilities. Exposure Response prioritizes risks, tracks remediation progress, benchmarks security posture against industry peers, and ensures strategic, goal-oriented vulnerability management.

#3 Comprehensive Asset Visibility & Accurate Tracking—Nessus Sensors combine active scanning, passive monitoring, cloud connectors, and CMDB integrations to gain unified visibility across IT, cloud, and OT environments. A patented asset identification algorithm ensures precise asset tracking, even in dynamic environments.

#4 Seamless Workflow Automation & Patch Management – Pre-built integrations with SIEM, ticketing, and credential management systems streamline security operations. Accelerate vulnerability mitigation by combining AI-driven risk prioritization with automated patching, ensuring efficient, scalable updates.

#5 Flexible, Scalable, and Cost-Effective – Tenable’s elastic asset-based licensing ensures that organizations only pay for the assets they use, even when those assets have multiple IPs. It includes automatic recovery for assets that are rarely scanned and accommodates temporary overages. Its cloud-based architecture facilitates rapid deployment, seamless scalability, and a lower total cost of ownership, providing efficiency while ensuring security.

How we are different

• AI-Powered Risk Prioritization – Unlike traditional risk scoring, Tenable employs a patented machine learning model with Generative AI to provide dynamic exposure prioritization, real-time threat modeling, and response orchestration. By leveraging Retrieval-Augmented Generation (RAG)-based LLMs, it processes extensive security intelligence to deliver deeper, context-rich insights and proactive mitigation strategies. Combined with patented machine learning to predict exploitation, this hybrid AI approach boosts accuracy and efficiency in assessing and remediating cyber risks.

• Unmatched AI Built on a Superior Dataset – Tenable’s AI is powered by an unparalleled data lake combining exclusive threat intelligence from Tenable Research, insights from 44K+ customers, and data collected from millions of global sensors across endpoints, networks, cloud, OT, IoT, and identity. Supported by 40+ patents, a team of PhD data scientists, and industry veterans with 50+ years of experience, this robust foundation enables deep correlation across the cybersecurity stack and enhances accuracy —giving security teams the most reliable and actionable intelligence available.

• Seamless Integration & Automation – Unlike competitors that require complex configurations or separate tools for vulnerability management, Tenable offers native integrations with third-party security solutions to streamline operations. Automated scans, data imports, and remediation workflows reduce manual effort, while built-in Vulnerability Intelligence and Exposure Response provide real-time benchmarking, SLA tracking, and guided remediation. With automated patching and consolidated capabilities—detection, prioritization, reporting, and benchmarking—Tenable eliminates silos, delivering a unified, efficient approach to vulnerability management.