Hopper
vs Traditional SCA

Less Noise. More Clarity. Faster Decisions.

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With Hopper, we achieved 92% noise reduction, avoided a deployment cycle and customer downtime, and saw a $1.4M ROI from faster incident resolution, improved productivity, and tighter audit readiness.

Nokky Goren
Director of Engineering

Legacy SCA tools scan for known vulnerabilities but lack precision. They flag issues based on package metadata, not whether the code is actually used. The result is alert fatigue, developer distrust, and wasted release cycles.

Hopper changes the model, analyzing code at the function level to surface only what’s reachable in your environment. You get trusted insights with 93% less noise, no agents to manage, and zero disruption to engineering workflows.

Trusted by leading companies

Why Customers Choose Hopper

Function-Level Reachability

Hopper examines how applications actually use open-source components, both direct and transitive. It maps function-level reachability to surface only the vulnerabilities that are invoked by your code, dramatically reducing false positives and improving risk clarity.

Continuous Asset Discovery

New applications and code repositories are detected automatically. Hopper ensures you always have full visibility into OSS risk, even as your engineering footprint grows.

Trusted by Developers

Hopper delivers evidence-based security findings developers can trust. By pinpointing real, reachable risks with file- and function-level context, Hopper earns developer confidence and reduces friction in remediation workflows.

Features Comparison Chart

Capability
Hopper
Traditional SCA
Reachability Analysis
Function-level call path detection
Flags entire packages
Exploitability Context
EPSS, KEV, the presence of available exploit and other signals layered on top
Varies by tool; some offer basic CVSS severity only
Noise Reduction
93% fewer irrelevant alerts
High volume of unprioritized findings
Deployment Model
Agentless, read-only Git integration
Varies by tool; some offer agentless modes but often require build integration or CLI use
Hidden Dependence Detection
Identifies renamed, repackaged, and shaded libraries
Often missed or misclassified
Asset Coverage
Continuous repo and app discovery
Manual project selection and no app-level segmentation
Remediation Insights
Developer-ready guidance with file and function context
General recommendations only
Developer Experience
Evidence-based actionable insights
Alert fatigue and lack of context
Time to Value
Minutes
Days or weeks