Security That Ships

Not all reachability is equal. The post explains how package-level, function-level, internet, and runtime reachability each shape AppSec accuracy and prioritization, and how Hopper combines them with exploitability and business context to cut 93% of noise and focus teams on real risks.

Hopper has been recognized as Innovation of the Year at the Cybersecurity Awards and Finalist in the AWS & CrowdStrike Cybersecurity Accelerator. These milestones highlight Hopper’s role in redefining application security by cutting through noise, reducing risk, and enabling enterprises to secure innovation without slowing down.

With open-source vulnerabilities growing nearly 100% year over year, enterprises need precision. Function-level reachability delivers measurable ROI by eliminating more than 90% of false positives, accelerating remediation, and reducing wasted engineering hours.

FedRAMP’s proposed RFC-0012 standard redefines vulnerability management by prioritizing exploitability and automation over traditional CVSS-driven compliance. Learn about major changes, industry reactions, and what executives need to do now to prepare.

Hopper’s new AI-BOM and Risk Analysis features give teams full visibility into how AI models and libraries are used across their applications. From embedded models to external APIs, Hopper pinpoints risks like insecure deserialization, data exposure, and compliance violations, delivering actionable insights with zero friction.

Hopper’s branding and product design are built around one principle: cutting through noise to create clarity in open-source security. From typography and color to product workflows and AI cues, every detail is designed to reduce distractions, build trust, and help teams focus on what truly matters.

Hopper transforms vulnerability management by reducing noise and focusing teams on real risk. In this demo, a Python app with 134 vulnerabilities is distilled to just 3 critical issues worth fixing through function-level reachability and EPSS.

Spring’s dynamic features break traditional static analysis. Hopper delivers the first and most accurate production-aware call graph analysis for Spring, modeling behaviors like reflection, proxies, and spring.factories for unmatched accuracy and fewer false positives.

Hopper cuts through the noise of monorepo dependencies by identifying and surfacing root causes, enabling security teams and developers to triage issues faster and more effectively.