The Code Is Writing Itself. The Risks Aren’t Waiting.
As AI agents reshape how software gets built, Operant AI is helping organizations see—and secure—what’s happening beneath the surface.
Some of the most meaningful shifts in technology don’t arrive all at once. They show up in workflows—quietly changing how things get done until the old way no longer fits.
That’s what’s happening with AI-generated code.
Developers today are increasingly guiding systems that can write, test, and deploy code on their own. It’s a leap in speed and capability, but it also introduces a new kind of risk—one that’s harder to see. When code is created autonomously, understanding how it was generated, what it accessed, and where vulnerabilities may exist becomes far less straightforward.
This is where Operant AI is focused.
With its Endpoint Protector, the company is addressing the rise of “shadow AI” and autonomous coding agents operating beyond traditional oversight. Instead of relying on static defenses, Operant AI focuses on runtime behavior—observing how AI systems interact with code, data, and infrastructure in real time.
What stood out to us early was the clarity of that approach. As AI changes how software is built, security needs to evolve alongside it—not as a constraint, but as an embedded layer of understanding.
That perspective is shaped in part by Vrajesh Bhavsar, who has consistently pointed to the growing gap between how quickly AI is being adopted and how slowly traditional security models are adapting. It’s not a future problem—it’s already here.
From our lens, this is where new categories begin to form. When foundational workflows shift, the infrastructure around them has to be rebuilt. And the companies that matter most tend to be the ones that recognize that early.
Operant AI is building in that direction—toward a world where AI-driven development is not only faster, but also more visible, accountable, and secure.
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