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Case Study: GAN Integrity cuts 90% of vulnerability noise with Coana reachability (now Socket)

GAN Integrity Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
GAN Integrity
Industry
Governance, Risk & Compliance
Challenge
Traditional SCA scanners generated a high volume of false alarms.
Headline result
GAN Integrity reduced vulnerability scanning noise by approximately 90% using reachability analysis, letting its team confidently ignore large numbers of false positives.

Key results

~90%
Reduction in vulnerability scanning noise
via reachability analysis
80-95%
Typical false-alarm rate of traditional scanners
in a standard application, per the case study

The challenge

GAN Integrity, an ethics and compliance software company handling sensitive data, relies heavily on open source packages, creating significant challenges in responding to vulnerabilities. Its traditional SCA tools and vulnerability scanners fell short, generating a high volume of false alarms that complicated the security team's processes and made it hard to differentiate real threats from noise.

The solution

GAN Integrity adopted Coana, now part of Socket, and its reachability analysis, which filters out irrelevant security alerts so the team can focus only on genuine, reachable threats. The vendor incorporated the team's feedback to tailor the tool to GAN Integrity's security processes.

Coana has automated a critical part of our security process, allowing us to confidently ignore a large number of false positives.

CG
Casper Guldberg
VP of Engineering, GAN Integrity

The results, in context

GAN Integrity reduced the noise of its vulnerability scanning by approximately 90%, allowing the team to confidently ignore a large number of false positives without compromising security. The case study notes that in a standard application, between 80% and 95% of results reported by traditional vulnerability scanners are false alarms.

Products used

Socket Coana reachability analysis (now part of Socket)