The cybersecurity industry has developed a troubling habit: it profits most when problems persist. And nowhere is this dynamic more visible than in how we're marketing tools designed to manage AI agents.
Consider the narrative emerging around "AI agent control." Companies are positioning oversight tools as innovative solutions, security advancements, necessary infrastructure. But let's be honest about what we're actually doing. We're building elaborate systems to watch systems we've already built. We're creating tools to manage tools that were supposed to solve our problems. This is not innovation. This is symptom management dressed up as progress.
The incentive structure here is crystal clear. Security vendors don't benefit from systems that work correctly from the start. They benefit when complexity multiplies. When new technologies create new risks. When organizations must layer solution upon solution, each one requiring implementation, training, maintenance, licensing fees.
Every time a company announces an "AI agent control" platform, they're essentially saying: "Our previous generation of tools created new problems, so here's the tool to manage those problems." It's profitable. It's also perverse.
Look at how this sector has evolved. We built enterprise security tools. Then we needed tools to manage those tools. We deployed cloud infrastructure. Then we needed visibility into cloud infrastructure. We implemented automation. Now we need tools to control that automation, particularly when artificial intelligence enters the picture. At each stage, vendors have incentives to make solutions just complex enough that customers need to buy the next layer.
This matters because it shapes what actually gets built.
If the real incentive were safer systems, we'd be funding different research. We'd be asking whether AI agents should operate with such broad autonomy in the first place. We'd be investing in architectures that require less oversight, not more. We'd be pushing for standardization and simplicity. Instead, we get increasingly specialized point solutions that integrate into your existing mess and create new dependencies.
The companies positioning themselves as saviors of this situation aren't wrong to see opportunity. But readers should understand what's being optimized here. It's not your security. It's recurring revenue.
Consider who benefits most from this dynamic. Not the small organization trying to secure its infrastructure with limited resources. Not the mid-market company drowning in tool sprawl. The winners are the vendors who've already sold you the foundational layer and can now sell you the management layer. The winners are consulting firms that charge six figures to help you integrate everything. The winners are the analysts who publish research saying you need these tools to stay competitive.
The losers are everyone else.
This isn't an argument against AI agent oversight tools. If you've deployed AI agents, you probably do need visibility into what they're doing. But it's an argument for recognizing the incentive misalignment. The security industry profits most when complexity increases, when new risks emerge, when organizations feel perpetually behind. That's not a sustainable or trustworthy foundation for critical infrastructure.
Real security innovation would look different. It would prioritize simplicity over feature creep. It would ask hard questions about whether certain capabilities should exist at all. It would fund research into architectures that are secure by design rather than secured after deployment.
Until our incentives shift, expect more elegant solutions to problems that shouldn't exist in the first place. Expect more tools to manage tools. Expect more complexity, more dependencies, more reasons to sign the renewal agreement.
The industry is rewarding the wrong incentives. Pay attention to who's profiting from the problems they're promising to solve.