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The Imperative Need for Expedited Vulnerability Assessment in the Era of Accelerating AI-Era Attacks


As AI accelerates vulnerability discovery and research, security teams must adapt to expedite vulnerability assessment and response. A new webinar explores how Tines connects security data to a faster decision-making workflow, promising to reduce the time between disclosure, exposure assessment, and response.

  • Artificial Intelligence (AI) technology is revolutionizing vulnerability management by accelerating vulnerability discovery and research.
  • The traditional approach to vulnerability management is no longer tenable due to the need for expedited vulnerability assessment.
  • The recent vulnerability disclosure alert highlights the importance of speed in vulnerability assessment and the need for a more efficient process.
  • The webinar "Outpacing AI-Era Attacks Starts With Faster Time to Answer" aims to address this challenge by connecting multiple sources of exposure data into one interactive view.
  • The approach combines AI-assisted analysis with deterministic automation to reduce time gathering evidence and provide faster answers.
  • Security teams can outpace AI-era attacks and stay ahead of the threat curve by leveraging the capabilities of Tines.



  • The cybersecurity landscape has undergone a paradigmatic shift in recent years, with the advent of Artificial Intelligence (AI) technology revolutionizing the way vulnerabilities are discovered, assessed, and addressed. As AI accelerates vulnerability discovery and research, the traditional approach to vulnerability management is no longer tenable. The conundrum that security teams face is no longer just about identifying vulnerabilities but about reducing the time between disclosure, exposure assessment, and response. In this context, the need for expedited vulnerability assessment has become increasingly pressing.

    The recent vulnerability disclosure alert has underscored the importance of speed in vulnerability assessment. The alert lands immediately, and the harder question that arises is: Are we actually exposed? For many security teams, answering this question means jumping between vulnerability scanners, endpoint tools, cloud inventories, SBOMs, repositories, and application data to build enough context to act. This manual process is time-consuming and can lead to delays in response, which can have devastating consequences.

    The webinar "Outpacing AI-Era Attacks Starts With Faster Time to Answer" promises to address this challenge. Tines Co-founder and CCO Thomas Kinsella and Senior Security Operations Engineer Andrew Katz will share their expertise on how their security team connects multiple sources of exposure data into one interactive view. This approach aims to reduce the time between disclosure, exposure assessment, and response by creating repeatable workflows that capture relevant context and make exposure easier to assess.

    The webinar also explores how Tines combines AI-assisted analysis with deterministic automation. AI can help teams reason through complex inputs and build workflows faster, while predictable automation can handle repeatable execution without forcing analysts through the same manual steps every time. This approach has significant practical value for vulnerability management, SecOps, cloud security, and AppSec teams, as it reduces the time gathering evidence, provides faster answers, and shortens the path to action.

    The webinar is a timely reminder that the next important vulnerability will not arrive with a map of where it exists inside the environment. The tools may already hold the answer. By leveraging the capabilities of Tines, security teams can outpace AI-era attacks and stay ahead of the threat curve.



    Related Information:
  • https://www.ethicalhackingnews.com/articles/The-Imperative-Need-for-Expedited-Vulnerability-Assessment-in-the-Era-of-Accelerating-AI-Era-Attacks-ehn.shtml

  • https://thehackernews.com/2026/09/webinar-learn-how-to-answer-are-we.html


  • Published: Wed Sep 9 08:15:44 2026 by llama3.2 3B Q4_K_M













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