For the past two decades, Sasan and I have been building cybersecurity products at some of the leading companies such as Crowdstrike, Qualys, Tenable and many more. We have touched nearly every category imaginable from cloud security, container security, vulnerability management and patch management to compliance and automation. There are very few corners of this industry we haven’t explored.
Early in my career, I spent countless hours writing vulnerability signatures. Confirming a vulnerability often required crafting a custom, "perfect" exploit, a labor-intensive process that could take hours if not days and demanded a highly specialized skill set. Later while developing Risk Prioritization (TruRisk) algorithms, I learned that risk assessment is unique to every organization. To be valuable, risk must be framed in the context of their specific business; otherwise, it remains just another vendor’s opinion.
Sasan’s path followed a similar trajectory. He spent years architecting security products, ranging from cloud security and vulnerability management to one of the first container security solutions. In fact, that is how we met: I was leading the due diligence for Tenable’s acquisition of his first startup. While building these products, Sasan realized that what used to take months to develop now takes only days with AI . He saw that the bureaucratic inertia and slow pace of large organizations were ill-suited for the coming age of AI. With AI and the right architecture, it is finally possible to deliver end-to-end outcomes to customers at breakneck speed.
As we looked back on the years spent building those complex cyber security products with an eye on the future, three key things stood out to us.
Speed: The New Frontier of Threat The cost and skill barrier for exploit development has effectively collapsed. What once took years of expertise to master is now just a prompt away. Today, even unskilled attackers can craft a functional, weaponized exploit in minutes.
This changes everything. Attackers are now able to weaponize vulnerabilities and launch campaigns at the speed of a nation-state. The traditional, manual approaches to defense are no longer scalable; we are entering an era of AI-native offense that requires a fundamentally different approach. To combat it, we need AI-native defense.
Productivity: Closing the Security Gap Productivity for a developer is measured in how fast they ship code. For a security engineer it is measured in how effective they are in closing security gaps.
Over the past few years, the tech industry has been fixated on developer productivity, with new tools promising 10x or even 100x efficiency gains. Yet, an equivalent transformation has failed to materialize for cybersecurity teams.
Security analysts remain trapped in a mire of manual, repetitive processes. From triaging endless false positives to chasing down risk owners and tracking remediation status, they are bogged down in "security theater", mindless cycles performed for the sake of activity, often with little to no tangible impact on actual risk reduction.
While developers have been supercharged by AI, security teams are still working with the manual tools of the last decade.
Expert Advisor: Always-On, Never Sleeps Finally, the talent shortage was impossible to ignore. Hiring elite security researchers and developers has always been a monumental challenge. If the industry’s top-tier firms are struggling to staff their teams, consider the plight of the average enterprise.
In every security organization, there are "stuck" moments, critical situations where you need expert guidance to remediate a vulnerability, design a risk-reduction plan, or navigate a complex threat. Historically, that required waiting for the right human expert to be available.
Enter Quantro Security We founded Quantro Security to solve these three fundamental challenges. Our vision is simple: we believe that in the era of AI-powered, industrial-scale threats, the future of security must be fundamentally different.
AI-Native Defense to Protect against AI-Native Offense: With agentic capabilities, attackers are moving faster than ever. We believe organizations need an AI-native defense that matches that speed, turning the tide against automated exploitation.
Next-Gen Productivity: Security teams should no longer be constrained by the manual, fragmented tools of the last decade. They deserve the same productivity gains that developers have enjoyed in the age of AI. They should be able offload manual grunt work to AI agents, and focus on higher order work, the true mission which is to reduce risk, and secure the enterprise.
The Always-On Advisor: Finally, we believe every defender deserves a force multiplier at their side, a teammate capable of providing expert guidance, navigating complex uncertainty, and acting with full organizational context.
The Opportunity The AI-Native Cyber Defense Team
AI is more than a tool; it’s a force multiplier. We envision a future where elite human teams are supported by an autonomous army of AI agents. Whether it’s vulnerability management, penetration testing, threat intel, or vCISO-level risk planning, our agents do the heavy lifting so your team can focus on strategy.
Outcomes vs Outputs
Traditional tools often over-index on raw outputs, burying security teams in data rather than delivering the outcomes businesses actually need. We deliver the clear, actionable outcomes your business needs to grow securely and profitably. We integrate with your existing stack, turning your data into a strategic advantage.
Agents Prompting Humans
If you look at "bolt-on" AI solutions from traditional vendors or even newer AI-native tools, they all start with the same premise: humans prompting agents to perform tasks or run analysis. But in a world where an agent already has data access and a clear understanding of "what good looks like," shouldn't the agent be prompting the human?
Imagine a system that greets you with: "Good morning. Since you last checked in, I’ve identified a few issues and outlined exactly how to fix them. Do you approve?" Always keeping humans in the loop.
That is a better way to work. And that is exactly what we are building.
What’s Our Super Secret Plan to Win? The true power of AI lies in its ability to deliver outcomes that were previously impossible. Most legacy products are built on a "one-size-fits-all" mindset; AI allows us to deliver deeply personalized security outcomes without the typical engineering overhead, transitioning to a “one-size-fits-one” model.
With that philosophy as our foundation, here is our strategy for success:
Do the hard things manually. Next, train our AI agents to do them easily. Repeat. We are building this one customer, one use case at a time, and we would love to have you on the journey.
Oh , and you might be wondering why the name 'Quantro' ? It’s a mashup of 'Quant' for intelligence and 'Ro' for robots. We’re building intelligent robots for cyber security. More on our thoughts on naming products here .