Quantro Security, Inc., an AI-native cybersecurity company focused on transforming enterprise defense through autonomous agentic AI, has officially emerged from stealth mode and introduced its first product, VM.Analyst. The new solution represents the company’s vision of building an automated “army of defense” for modern security teams. Developed by engineering and product leaders who previously built platforms at CrowdStrike, Tenable, and Qualys, Quantro blends decades of cybersecurity expertise with advanced AI capabilities. Additionally, the company is backed by Gradient, a seed fund dedicated to supporting founders developing breakthrough artificial intelligence technologies.
VM.Analyst is designed to address one of the most pressing challenges facing modern cybersecurity teams: the growing gap between vulnerability discovery and the speed of response. While organizations now have sophisticated tools that can identify vulnerabilities across complex IT environments, the real challenge lies in quickly analyzing those risks and taking meaningful action before attackers exploit them. With AI-powered attackers capable of weaponizing vulnerabilities within minutes of disclosure, traditional manual defense models are increasingly ineffective.
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“Today’s AI-driven threats require far more than just people-driven defense. By partnering with Quantro Security, we’re utilizing agentic AI as a force multiplier, drastically shrinking our attack surface, eliminating high-effort work, and transforming our analysts into strategic architects of defense,” said Gabriel Montague, Interim CISO at NRG.
The modern cybersecurity landscape has reached a critical turning point. As the cost and technical expertise required to exploit vulnerabilities continue to decrease, attackers now use AI tools to launch sophisticated attacks at unprecedented speed. At the same time, security teams are overwhelmed by massive volumes of alerts and risk findings generated by multiple disconnected security tools. As a result, analysts often spend significant time reviewing false positives or addressing vulnerabilities that are not truly exploitable. This operational overload prevents teams from focusing on the most critical risks.
“AI’s real power is its ability to deliver outcomes previously unattainable. For the first time, organizations can tailor risk assessment to their own security controls, pinpoint what is truly exploitable, and eliminate those exposures before attackers strike,” said Mehul Revankar, Co-Founder and CPO at Quantro Security.
VM.Analyst addresses these challenges by integrating directly with an organization’s existing cybersecurity infrastructure. The platform collects and analyzes data from a wide range of sources, including vulnerability management platforms, cloud security tools, configuration management databases (CMDBs), and firewall systems. After ingesting this information, the system normalizes the data, removes duplicates, and prepares it for AI-driven analysis. By reasoning across multiple datasets simultaneously, VM.Analyst generates a unified layer of actionable intelligence that enables security teams to prioritize the most critical threats.
“In this new era of AI-native products, ideas are priceless, and code is cheap, but execution is everything,” said Sasan Padidar, Quantro’s Co-Founder and CEO at Quantro Security. “Quantro is the culmination of 20 years of product building distilled into a single, definitive solution for managing cyber risks.”
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The AI agent then evaluates an organization’s entire risk landscape within the context of its specific security controls, network architecture, and operational configurations. By accounting for compensating controls and security policies, the system identifies which vulnerabilities represent genuine threats and recommends precise remediation actions. Importantly, the platform keeps human analysts involved in the decision-making process while enabling faster automated response.
“Quantro Security’s VM.Analyst modernizes vulnerability management with a purpose-built AI platform that addresses traditional challenges facing security operations teams. The outcome is deep analysis and prioritization that goes beyond human capabilities alone. We are proud to collaborate with Quantro to drive innovation that brings new value to our clients,” said Ben Doane, Principal, Risk Consulting & Cybersecurity Managed Services at Forvis Mazars.
Security analysts can interact with VM.Analyst using natural language commands to obtain instant insights, request recommendations, or assign tasks to the AI agent. Whether the objective is improving compliance, reducing cyber risk, or executing remediation workflows, the platform simplifies operations through conversational interaction.
“Every year, CISOs are tasked with securing a larger software and infrastructure footprint. Meanwhile, AI-generated threats are outpacing human capacity, and AI infrastructure is creating new attack surfaces. Fighting AI with AI is no longer optional; it’s a necessity. Mehul & Sasan have deep domain experience in detecting, verifying, and fixing security vulnerabilities and are building the platform that security teams need to keep up with today’s AI-generated threats,” said Clayton Petty, Partner at Gradient.
Ultimately, Quantro Security’s launch highlights a broader shift toward AI-native cybersecurity strategies. As cyber attackers increasingly leverage automation and artificial intelligence, organizations must adopt similarly advanced defensive technologies. By combining autonomous AI reasoning with human expertise, Quantro aims to help enterprises detect, prioritize, and remediate risks faster—before attackers can take advantage of them.
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