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Spektion

Spektion is a security platform that helps organizations prioritize and act on exploitable software vulnerabilities rather than merely tracking CVEs. It analyzes runtime context—such as whether software is running, its privileges, and network exposure—to identify actual attack paths and reduce critical backlog. The platform is trusted by security leaders like the CISO of NielsenIQ for proactive risk reduction.

Dripping Springs, United States · HQ
Founded 2024171K+ followers
Updated 4 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations face an overwhelming volume of vulnerabilities, with over 48,000 CVEs published last year, far exceeding patch capacity. AI accelerates both vulnerability discovery and exploitation, shrinking the window between disclosure and attack. Additionally, scanner-only programs are structurally blind to zero-days, custom applications, and internal tools that will never have a CVE, leaving critical gaps in coverage.

Solution

Spektion provides a security platform that moves beyond simple vulnerability identification to focus on what is actually exploitable in a given environment. It answers questions that traditional scanners cannot, such as whether software is running, what privileges it has, whether it is network-exposed, and what the potential blast radius of an exploit would be. By analyzing this runtime context, Spektion enables security teams to prioritize and act on the most critical risks, reducing the attack surface and manual prioritization work. The platform delivers actionable insights that allow organizations to proactively address vulnerabilities before they become problems, significantly strengthening their security posture.

Target Audience

Primary customers are security leaders, including CISOs and security teams at mid-to-large enterprises, who need to manage large vulnerability backlogs and proactively reduce their organization's attack surface.

Features

  • Runtime context analysis to determine exploitability, including software execution status, privileges, network exposure, and blast radius
  • Prioritization of vulnerabilities based on actual risk, not just CVE severity scores
  • Reduction of critical backlog by an average of 38% within the first month of use
  • Identification and removal of unused software to shrink the overall attack surface
  • Automation of manual prioritization methods, reducing DIY workload and human error
This profile is AI-generated and may contain inaccuracies.