Building Trustero: How SignalFX’s Founder is Using AI to Disrupt the $50B Compliance Industry
Great ideas often emerge from personal pain points. In a recent episode of Category Visionaries, Phillip Liu revealed how his experience with compliance challenges at SignalFX sparked the creation of Trustero, a venture that’s now using AI to revolutionize enterprise compliance.
From Monitoring to Compliance
The connection between infrastructure monitoring and compliance might seem unlikely, but Phillip saw the parallel clearly. “While at SignalFX, obviously there are a lot of ideas I had about how to expand the business. One of them was actually to deal with compliance,” he explains. “At the time that went through the process of getting signal effects to be compliant with SoC two, a lot of that process was very analogous to monitoring.”
This insight sparked a bigger idea: “Instead of monitoring just the physical, virtual infrastructure of an application, you also have to monitor the ongoing business of processes.”
Building on Past Success
Having successfully scaled SignalFX to a billion-dollar exit, Phillip applied key lessons to Trustero’s development. The foundation was built on their data science expertise: “One of the reasons why we started out Trustero was we dealt with data science at SealFX, and I kind of thought the next motion is really more around using large language models and machine learning to solve problem rather than statistical know.”
Timing the AI Wave
Trustero’s breakthrough came with the convergence of their technology development and the AI boom. “This year we finally reached a point where sort of the confluence of large language models being released and all the noise that’s going around with it. And we actually reached a point where our technology and the use of LMS basically help us solve and sort of replace not only tasks, but almost complete roles of what a compliance professional will have to do.”
The market response was dramatic. Since launching their AI capabilities, they’ve seen “probably 50 to 70 times mql growth,” demonstrating the power of timing market entry with technological readiness.
Reimagining Compliance Work
Trustero isn’t just automating existing processes – they’re fundamentally reimagining how compliance work gets done. Phillip outlines several key functions they’re transforming:
- Report Analysis: “One of the functions that trustero provides is the ability to basically sift to this report automatically for you and tell you about the key points that what a normal compliance professional look for.”
- Internal Audits: They’re using “AI, generative AI, to basically help solve this problem” of conducting regular internal compliance audits.
- Security Questionnaires: Addressing a pain point where compliance teams “spend at least 20% of their time” dealing with security questionnaires in SaaS transactions.
The Future of Business Trust
Phillip envisions a fundamental transformation in how businesses establish and verify trust. “In time, I think what will happen is that this notion of having to be compliant with a particular standard, a specific standard will probably give way to transparency and then transparency that’s vetted by automation.”
This vision extends to creating what he calls “logically, a trust graph of not only how you operate procedurally internal within your company, but the connection between companies, what company uses, what tools, and therefore what risks they may pose to a buyer of that company product.”
Lessons for Founders
Trustero’s journey offers valuable insights for founders entering new markets:
- Personal pain points can reveal significant market opportunities
- Previous success patterns can be adapted to new industries
- Timing market entry with technological readiness is crucial
- Transform entire workflows, don’t just automate existing processes
For founders building in emerging technology spaces, Trustero’s approach demonstrates how to combine industry expertise, technological innovation, and market timing to create category-defining companies. The key is not just solving existing problems, but reimagining how entire industries could operate with new technological capabilities.