Company to showcase its AI-driven platform at Black Hat USA 2026, reducing false positives while delivering evidence-backed vulnerability remediation
Artiphishell, a DARPA-backed cybersecurity company, announced Verifiable Remediation as part of their Automated Vulnops Platform, a new approach to AI-driven application security that helps organizations reduce vulnerability noise, eliminate false positives, prioritize real software risk, and deliver evidence-backed remediation developers and security teams can trust. The company will demonstrate the platform at Black Hat USA 2026.
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Modern security teams are overwhelmed.
Every day, SAST, DAST, SCA, container, cloud, and AI-powered security tools generate thousands of vulnerability findings. Many are duplicates, false positives, or issues that are not practically exploitable. Security teams spend valuable time triaging alerts instead of fixing the vulnerabilities that matter.
AI can generate a patch.
The harder problem is knowing what needs to be fixed and proving that it has been fixed correctly.
Artiphishell was built to solve both challenges.
The platform validates whether reported vulnerabilities are real, evaluates exploitability, filters scanner noise and false positives, identifies potential bypasses and vulnerability variants, and produces evidence-backed remediation supported by verifiable artifacts or “trust anchors” that developers and security teams can evaluate with confidence.
“Today’s security teams don’t have a vulnerability problem; they have a prioritization problem,” said Wil Gibbs, CEO of Artiphishell. “Every security tool generates more findings. Artiphishell helps organizations identify the vulnerabilities that matter, eliminate unnecessary noise, and provide evidence that remediation has been effective.”
From Scanner Noise to Verifiable Remediation
The cybersecurity industry is rapidly evolving from AI-assisted vulnerability discovery toward automated remediation. As AI increases both software development velocity and vulnerability discovery, organizations need more than additional findings or automatically generated patches; they need confidence that they are working on the right issues and that remediation has addressed the underlying risk.
Artiphishell believes the next evolution of application security is Verifiable Remediation.
Rather than forcing developers to investigate thousands of scanner findings, Artiphishell helps organizations focus engineering resources on validated, exploitable vulnerabilities while producing evidence-backed remediation designed to increase confidence in security outcomes.
Its approach follows a straightforward progression:
- Filter the noise.
- Prioritize real vulnerabilities.
- Generate automated remediation.
- Deliver verifiable evidence that the remediation has addressed the underlying risk.
“As AI writes more software and discovers vulnerabilities at a pace humans can no longer review manually, simply generating more alerts or even more patches is not enough,” Gibbs said. “The future of application security is reducing the noise, focusing on what matters, and providing evidence organizations can trust.”
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