Abundant provides an exposure remediation platform that uses AI agents to drive security findings to verified resolution. The platform de-duplicates and validates alerts, identifies the responsible owner, and carries fixes to closure within the tools security teams already use. It prioritizes automated fixing over automated finding, with agents confirming what's real and tracking remediation to completion.
Funding
Funding not disclosed
Founders
Product
Problem
Security teams are overwhelmed by a high volume of findings from various tools, many of which are duplicates, false positives, or lack clear ownership. This backlog prevents engineers from focusing on genuine threats and leaves organizations exposed for extended periods. CISOs struggle to demonstrate concrete progress on risk reduction because remediation is slow, unverified, and difficult to track.
Solution
Abundant is an exposure remediation platform that uses AI agents to drive security findings to a verified resolution. The platform automatically de-duplicates and validates alerts, confirms which exposures are real, identifies the responsible owner, and carries the fix through to closure. It ranks findings by meaningful severity so engineers can prioritize effectively, and it integrates directly into the tools teams already use, reducing friction and closing the backlog. For leadership, Abundant provides clear metrics on verified remediation counts, exposure age, and blockers, enabling data-driven risk reduction reporting.
Target Audience
Primary customers are security engineers and CISOs at organizations with significant security tooling and exposure backlogs who need to move from finding to fixing at scale.
Features
- AI agents that confirm exposure validity, identify the correct owner, and drive fixes to verified closure
- Automated de-duplication and severity ranking of findings to focus on meaningful risk
- Native integrations with existing security and engineering tools to minimize workflow disruption
- Leadership dashboard showing verified remediation count, exposure age, and blocked items
- Science-backed AI approach developed by researchers with deep expertise in AI security