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Tenable Unveils Advanced Generative AI Capabilities for Enhanced Attack Path Analysis and Mitigation Guidance

Tenable, a leading Exposure Management company, has announced groundbreaking enhancements to ExposureAI, its generative AI capabilities and services integrated within the Tenable One Exposure Management Platform.

Tenable, a leading Exposure Management company, has announced groundbreaking enhancements to ExposureAI, its generative AI capabilities and services integrated within the Tenable One Exposure Management Platform. These innovative features aim to expedite the analysis of attack paths, provide actionable insights through an AI assistant, and offer specific mitigation guidance, enabling organizations to proactively reduce risk and bolster their cybersecurity posture. Powered by Google Cloud, including Gemini models in Vertex AI, the platform’s generative AI-powered search and chat applications offer unparalleled capabilities in threat detection and mitigation.

Addressing Complex Cybersecurity Challenges

In today’s rapidly evolving threat landscape, organizations confront a myriad of exposures and sophisticated threat actor tactics. Moreover, the global shortage of trained cybersecurity professionals further exacerbates these challenges, making it increasingly difficult for security teams to navigate and prioritize complex attack paths effectively.

Empowering Security Teams with AI-Driven Solutions

Tenable Attack Path Analysis, an integral component of the Tenable One platform, harnesses generative AI-based capabilities to fortify organizations’ preventive security measures. This includes explainability functionality, which delivers precise mitigation guidance alongside clear visibility and concise analysis of intricate attack paths and security findings.

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Key Enhancements and Features

The latest AI capabilities introduced by Tenable enable security practitioners to seamlessly navigate complex attack paths and take swift action to mitigate risks. Notable features include:

Attack Path Summary: Providing a comprehensive overview of each attack path, enabling security practitioners to understand the entire threat scenario and devise appropriate response strategies.

AI Assistant: Offering interactive assistance to users, allowing them to ask specific questions about attack paths and receive tailored responses. From asset information to vulnerability mitigation strategies, the AI assistant streamlines decision-making processes.

Mitigation Guidance: Automatically furnishing specific mitigation recommendations for each attack path, eliminating the need for manual analysis and accelerating remediation efforts.

Empowering Cyber Defenders with AI

Glen Pendley, Chief Technology Officer at Tenable, emphasized the transformative impact of ExposureAI in simplifying cybersecurity decision-making processes. “ExposureAI, in collaboration with Google Cloud, eliminates guesswork and provides invaluable time savings by recommending precise remediation paths,” stated Pendley.

Eric Doerr, Vice President of Security Engineering at Google Cloud, underscored the significance of generative AI in empowering cyber defenders. “Integrating security-specific gen AI models into partner solutions, such as Tenable’s Exposure Management platform, will further empower defenders to address pressing security challenges and mitigate disruptive cyber risks,” said Doerr.

Unified Approach to Cybersecurity

Tenable One offers a unified approach to exposure management, consolidating vulnerability management, cloud security, OT security, external attack surface management (EASM), identity security, web application, and API scanning data. By leveraging comprehensive insights from diverse sources, organizations can proactively identify and remediate vulnerabilities before they are exploited by attackers.

Anshika Mathews
Anshika Mathews
Anshika is an Associate Research Analyst working for the AIM Leaders Council. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
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