CEO Toby Weiss: Why I Chose Securonix
AI and Cybersecurity
Why I Chose Securonix at One of Cybersecurity’s Most Important Turning Points
AI is reshaping security operations. Long-term success will depend on helping customers create business value as quickly as the technology evolves.
Toby Weiss, Chief Executive Officer, Securonix
Since joining Securonix, one question has come up more than any other: why join now? It is a fair question, and the answer has less to do with changing companies than it does with where I believe our industry is heading.
Every few years cybersecurity reaches one of those moments where the conversations begin to change. You notice it because customers stop asking the questions they asked six months earlier. A year ago, many of the discussions I was having centered on cloud transformation, operational efficiency, and managing increasingly complex environments. Today almost every meeting eventually finds its way to AI. What surprised me wasn’t how often customers wanted to talk about AI. It was how quickly the conversation moved beyond the technology itself. Before long, people were asking about analyst productivity, business value, operational resilience, AI governance, and how to stay ahead of AI-driven threats without adding another layer of complexity they would spend years trying to undo.
That was one of the things that drew me to Securonix.
Throughout my career I’ve worked across data, infrastructure, and security software, and I’ve watched those three disciplines steadily converge. AI is accelerating that convergence in ways that create enormous opportunities, but technology on its own has never been enough. Customers still measure success the same way they always have. They want to reduce risk, support growth, improve operational efficiency, and help their business move faster with confidence. AI changes how those outcomes may be achieved. It does not change the outcomes themselves.
When I looked at Securonix, I saw a company approaching AI through that lens. Years of leadership in security operations combined with a modern, agentic approach to AI felt like the right balance for where the market is today. I wasn’t looking for another company talking about AI. I wanted to be part of one thinking carefully about how AI should improve the work security teams do every day while helping customers connect security outcomes more directly to business outcomes.
The Industry Is Asking Better Questions
Over the last year, I’ve noticed something encouraging.
AI still captures attention, but the technology itself rarely dominates the discussion for very long. Customers move beyond models surprisingly quickly. They want to understand how analysts will work differently, how investigations will improve, how quickly value can be realized, and whether AI governance can keep pace without creating runaway costs or another layer of complexity they will spend years trying to unwind. Those conversations feel healthier because they begin with technology and end with business outcomes. For years, organizations invested heavily in visibility. They expanded security platforms, collected more telemetry, embraced cloud, and modernized infrastructure. Those investments created the foundation security operations depend on today, but they also left many teams with more information than they could realistically turn into confident decisions. AI has arrived at exactly the point where customers are asking how they can make better use of everything they have already built rather than simply adding something new.
I don’t think organizations are looking for more technology anymore. They are looking for confidence that the investments they make today will still make sense as the technology continues changing, that AI will improve the work their teams do instead of creating another layer of operational complexity, and that they can move quickly without creating problems they spend the next three years trying to solve. Those conversations have become less about software and much more about trust, and I believe our industry is moving in the right direction because of it.
Strategy Starts with Listening
People often say successful companies put customers first. I have always believed that the phrase only becomes meaningful when it influences decisions.
My priorities are straightforward. I want to spend more time listening than talking because customers usually give you the earliest pulse on where the market is heading.. They know which problems are becoming more difficult, where security operations are slowing the business down, and where technology is creating more work than value. Those conversations are often more valuable than any market report because they reflect what people are trying to solve today rather than what they might need tomorrow.
The pace of change is only going to accelerate. Artificial intelligence will continue evolving, threat actors will continue adapting, and customer expectations will continue rising alongside both. Strategy cannot be built around predicting every technological shift because nobody gets that right for very long. It has to be built around helping customers adapt without asking them to rebuild their security operations every time the market changes.
That means delivering business value quickly. It means making security operations simpler rather than more complicated. It means helping analysts spend more time making decisions and less time managing tools. Most importantly, it means recognizing that technology only creates value when customers can adopt it with confidence.
That was ultimately what brought me to Securonix. I wanted to be part of a company that wasn’t simply building AI for security but helping customers navigate one of the biggest technology shifts our industry has seen without losing sight of the outcomes that matter most to their business.
Technology will continue evolving. Helping customers adapt with confidence, while keeping business outcomes at the center of every decision, is the part that lasts.
