Attackers are weaponizing vulnerabilities at machine speed by launching campaigns with nation-state sophistication from a laptop. Meanwhile, the size of the attack surface that security engineers are tasked with defending increases every day. Unfortunately, the defenders' toolkit hasn't kept pace. That asymmetry is why we invested in Sasan Padidar and Mehul Revankar to build Quantro Security: AI-native defense for the era of AI-native offense.
Increasing cyber exposure is straining security teams
Security teams need to secure their organizations against a staggering number of new exploits and vulnerabilities every year. Over 48,000 CVEs were published in 2025. To top it off, the average time from CVE disclosure to weaponized exploit has plummeted from years to days as attackers have gotten smarter.
CISOs have been addressing this growing threat landscape by charging their security engineers with an impossible task: triage, remediate, and manage an ever-increasing backlog of security vulnerabilities identified by a suite of scanners and posture management tools like Tenable or Wiz. Many backlogs at enterprises reach 200,000 or more vulnerabilities.
The tech industry has spent years fixated on developer productivity, with tools like Cursor and Claude Code offering 10-100x efficiency for developers. An equivalent transformation has failed to materialize for cybersecurity teams. Security analysts remain trapped in manual workflows: triaging false positives from siloed scanners, chasing risk owners, tracking remediation in spreadsheets.
Quantro is modernizing cybersecurity with AI-Powered Defense
True AI-native defense requires a fundamentally different architecture that can reason across information (e.g., threat intelligence, scanner outputs, and infrastructure feeds) and actively remediate on behalf of busy security engineers.
When we met Sasan and Mehul, they talked about a vision for a platform like this that could simultaneously 100x security engineers, and fill gaps on security teams. They'd spent two decades building cybersecurity products at some of our best known cyber institutions like CrowdStrike, Tenable, and Qualys that directly drive the work of security engineers.
Today, Quantro is coming out of stealth and debuting the defensive counterpart to AI-native offense: an autonomous analyst that integrates with an organization's existing stack, normalizes the data, and delivers specific, contextualized remediation. Not another dashboard full of alerts. Actual outcomes. Agents prompting humans, rather than the other way around.
You can't fight AI-native offense with manual defense driven by overloaded security engineers. You need a swarm of agents working together to provide AI-native cyber defense. Mehul and Sasan have the domain expertise, the architectural vision, and the urgency to build it. We're thrilled to back them on the journey.